Data Engineer jobs at Tesla

Company Cox Automotive - USA Job Family Group Engineering / Product Development Job Profile Data Engineer I Management Level Individual Contributor Flexible Work Option Hybrid - Ability to work remotely part of the week Travel % Yes, 5% of the time Work Shift Day Compensation Compensation includes a base salary of $72,100.00 - $108,100.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program. Job Description Cox Automotive seeks a Data Engineer to join AI & Data Delivery Platform organization in Austin, TX. Our Teams: Cox Automotive is the market-leading provider of technology services to the automotive industry. Our engineering organization takes pride in building innovative products that make our customers successful. We are passionate about building great software while having fun doing it. The result is an award-winning culture where everyone is approachable, ideas are judged on merits, and empowered people drive transformative technology. Job Summary: Are you passionate about data? Join Cox Automotive as a Data Engineer I! You'll design high-performance queries, work with diverse data sources, and drive data solutions. Collaborate with data delivery teams to build applications using Python and maintain data pipelines, models, and queries in cloud environments using technologies like Snowflake, NoSQL databases, ETL tools, and AWS services (ECS, Lambdas, SQS, DynamoDB, Step Functions, RDS). Contribute throughout the SDLC, from design to CI/CD operations. Make a significant impact in the automotive industry with your data engineering skills! WHAT YOU'LL DO Role Overview: * Collaborate with Product and Engineering to understand data needs and deliver high-quality data solutions. * Develop and manage scalable data pipelines and architectures. * Engage with your agile delivery team to build a culture of passion, trust, and creativity. * Learn and leverage the automotive digital marketing domain to change how the world buys, sells, and uses cars. WHO YOU ARE Required Experience: * Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future. * Required BA/BS or higher degree in a related discipline with a focus in Data Engineering or Software Engineering * 1 to 3 years of related professional work experience in Data Engineering * MUST live within a commutable distance to Cox Automotive's Austin TX office and work in a hybrid-onsite setting * Experience with cloud-based application development, support and DevOps (ideally AWS) * Object-oriented design experience, including applied use of design patterns. * Experience with programming languages such as Python * Ability to work independently, to design, develop, and deploy solutions, and to deliver projects on time with moderate direction. * Ability to collaborate with other developers to build the best solution for the customer. * Database development skills, including using database technologies and logical and physical data modeling. * Please include links to any side projects you've worked on in your Github profile Preferred AI-Related Skills: * Exposure to AI/ML workflows and data preparation for model training * Experience with AI-assisted development tools (e.g., GitHub Copilot) * Familiarity with vector databases, LLM integration, or prompt engineering * Understanding of MLOps practices and cloud-based AI infrastructure * Commitment to ethical AI practices and data governance Drug Testing To be employed in this role, you'll need to clear a pre-employment drug test. Cox Automotive does not currently administer a pre-employment drug test for marijuana for this position. However, we are a drug-free workplace, so the possession, use or being under the influence of drugs illegal under federal or state law during work hours, on company property and/or in company vehicles is prohibited. Benefits The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave. About Us Through groundbreaking technology and a commitment to stellar experiences for drivers and dealers alike, Cox Automotive employees are transforming the way the world buys, owns, sells - or simply uses - cars. Cox Automotive employees get to work on iconic consumer brands like Autotrader and Kelley Blue Book and industry-leading dealer-facing companies like vAuto and Manheim, all while enjoying the people-centered atmosphere that is central to our life at Cox. Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page. Cox is an Equal Employment Opportunity employer - All qualified applicants/employees will receive consideration for employment without regard to that individual's age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Cox provides reasonable accommodations when requested by a qualified applicant or employee with disability, unless such accommodations would cause an undue hardship. Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship.

This role is categorized as hybrid. This means the successful candidate is expected to report to Austin Innovation Technical Center three times per week, at minimum [or other frequency dictated by the business if more than 3 days]. The Role As a Data Engineer, you will build industrialized data assets and optimize data pipelines in support of Business Intelligence and Advance Analytic objectives. You will work closely with our forward-thinking Data Scientists, BI Developers, System Architects and Data Architects to deliver value to our vision for the future. Are you ready to join a future facing team? LEVEL EXPECTATIONS: Fully qualified individual contributor who has knowledge and understanding of all aspects of a function and exercises independent discretion and judgment on significant matters based on professional knowledge. Level most professionals can expect to achieve in their career. EXPERTISE Recognized as a fully qualified, experienced professional. Has complete knowledge and full understanding of own area and broad knowledge of related areas. Takes broad challenges and, through independent professionally developed analysis, identifies and analyses options, and breaks them down into initiatives capable of implementation. Identifies opportunities and proposes solutions to improve internal processes, services, and structures to support functional strategies. Uses advanced analytical and problem-solving techniques to resolve a wide range of non-standard problems. Works independently; receives minimal guidance. Acts as a resource for colleagues with less experience. COMPLEXITY Identifies and devises solutions based on limited information and precedent. Uses evaluation and judgement to solve problems that are new to the organization and require a deep level of experience and strategic thought to create a solution. Enhances relationships and networks with senior internal/external partners who are not familiar with subject matter and often require persuasion. Uses data and analysis to demonstrate the value of a project, anticipating, and addressing objections and or concerns. Often effects change in broader functional area without direct exercise of command, using persuasion in situations where reaching agreement may be hindered by differing opinions, past practices, or experiences. SCOPE AND IMPACT Challenges and problems are of a diverse scope with multiple moving parts, where developing a plan and viewing the whole picture is a significant challenge itself. Work is done independently and is reviewed at critical points. Owns the development and delivery of solutions, driving cross team and group efforts. Leads by example, taking responsibility for their own actions, acknowledging mistakes, and holding themselves accountable for achieving goals. Addresses and evaluates a diverse range of issues using innovative methods and proposing alternative approaches. Serves as a mentor to more junior level employees, providing coaching and guidance on difficult issues. Has significant operational impact across their function. What You'll Do Communicates and maintains Master Data, Metadata, Data Management Repositories, Logical Data Models, Data Standards Create and maintain optimal data pipeline architecture You will assemble large, complex data sets that meet functional / non-functional business requirements You will identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build industrialized analytic datasets and delivery mechanisms that utilize the data pipeline to deliver actionable insights into customer acquisition, operational efficiency and other key business performance metrics Work with business partners on data-related technical issues and develop requirements to support their data infrastructure needs Create highly consistent and accurate analytic datasets suitable for business intelligence and data scientist team members Your Skills & Abilities (Required Qualifications) 7+ years with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc. 3+ years of hands on experience with Big Data Tools: Hadoop, Spark, Kafka, etc. You have mastery with databases - Advanced SQL and NoSQL databases, including Postgres and Cassandra Data Wrangling and Preparation: Alteryx, Trifacta, SAS, Datameer Stream-processing systems: Storm, Spark-Streaming, etc. Ability to tackle problems quickly and completely Ability to identify tasks which require automation and automate them A demonstrable understanding of networking/distributed computing environment concepts Ability to multi-task and stay organized in a dynamic work environment What Can Give You a Competitive Advantage (Preferred Qualifications) Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. AWS cloud services: EC2, EMR, RDS, Redshift This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. Compensation: The expected base compensation for this role is: $143,000 - $219,400. Actual base compensation within the identified range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.) #LI-CC1 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

**This role is categorized as hybrid. This means the successful candidate is expected to report to Austin, TX three times per week, at minimum [or other frequency dictated by the business if more than 3 days].** **The Role** Join our GPSC Insight Engineering team, responsible for ideating, incubating, and delivering new data solutions for global purchasing supply chain (GPSC) and our partners. As a Senior Data Engineer, you will design, build, and optimize industrialized data assets and data pipelines in support of Business Intelligence and Advanced Analytics objectives. In this role within the GPSC Insights Engineering organization under the Data organization, you will deliver high-quality, scalable solutions that meet both functional and non-functional business requirements. You will contribute to projects across databases, streaming technology, CI/CD, and cloud platforms. This is a senior-level role that blends strong data engineering skills with modern software engineering practices. You will help lead and deliver innovative, scalable, and maintainable data-driven solutions-writing high-quality, tested, production-ready code that meets customer needs and scales without rework. You will work in a collaborative, cross-disciplinary environment, handle complex challenges, contribute to architectural discussions, and help shape solutions that improve performance, scalability, and maintainability, while also ensuring alignment with business priorities. **What You'll Do** + Assemble large, complex data sets that meet functional and non-functional business requirements. + Identify, design, and implement process improvements, including automation, data delivery optimization, and infrastructure redesign for scalability. + Lead and deliver data-driven solutions across multiple languages, tools, and technologies. + Contribute to architecture discussions, solution design, and strategic technology adoption. + Build and optimize highly scalable data pipelines incorporating complex transformations and efficient code. + Design and develop new source system integrations from varied formats (files, database extracts, APIs). + Design and implement solutions for delivering data that meets SLA requirements. + Work with operations teams to resolve production issues related to the platform. + Apply best practices such as Agile methodologies, design thinking, and continuous deployment. + Develop tooling and automation to make deployments and production monitoring more repeatable. + Collaborate with business and technology partners, providing leadership, best practices, and coaching. + Mentor peers and junior engineers; educate colleagues on emerging industry trends and technologies. **Your Skills & Abilities (Required Qualifications)** + Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent experience + 7+ years of data engineering/development experience, including Python or Scala, SQL, and relational/non-relational data storage. (ETL frameworks, big data processing, NoSQL) + 3+ years of experience in distributed data processing (Spark) and container orchestration (Kubernetes) + Proficiency in data streaming in Kubernetes and Kafka + Experience with cloud platforms - Azure preferred; AWS or GCP also considered. + Solid understanding of CI/CD principles and tools + Familiarity with big data technologies such as Hadoop, Hive, HBase, Object Storage (ADLS/S3), Event Queues. + Strong understanding of performance optimization techniques such as partitioning, clustering, and caching + Proficiency with SQL, key-value datastores, and document stores + Familiarity with data architecture and modeling concepts to support efficient data consumption + Strong collaboration and communication skills; ability to work across multiple teams and disciplines. **What Can Give You a Competitive Advantage (Preferred Qualifications)** + Master's degree in Computer Science, Software Engineering, or related field + Knowledge of data governance, metadata management, or data quality/observability + Familiarity with schema design and data contracts + Experience handling various file formats (video, audio, image) + Experience with Databricks, Snowflake, or similar platforms + Experience designing and implementing robust data ingestion frameworks for heterogeneous data sources (structured/unstructured files, external suppliers, supplier chain systems). This job may be eligible for relocation benefits. Compensation: + The expected base compensation for this role is: $134,000 - $219,400. Actual base compensation within the identified range will vary based on factors relevant to the position. + **Bonus Potential:** An incentive pay program offers payouts based on company performance, job level, and individual performance. + **Benefits** : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.) \#LI-CC1 **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

This role is categorized as hybrid. This means the successful candidate is expected to report to Austin, TX three times per week, at minimum [or other frequency dictated by the business if more than 3 days]. The Role Join our GPSC Insight Engineering team, responsible for ideating, incubating, and delivering new data solutions for global purchasing supply chain (GPSC) and our partners. As a Senior Data Engineer, you will design, build, and optimize industrialized data assets and data pipelines in support of Business Intelligence and Advanced Analytics objectives. In this role within the GPSC Insights Engineering organization under the Data organization, you will deliver high-quality, scalable solutions that meet both functional and non-functional business requirements. You will contribute to projects across databases, streaming technology, CI/CD, and cloud platforms. This is a senior-level role that blends strong data engineering skills with modern software engineering practices. You will help lead and deliver innovative, scalable, and maintainable data-driven solutions-writing high-quality, tested, production-ready code that meets customer needs and scales without rework. You will work in a collaborative, cross-disciplinary environment, handle complex challenges, contribute to architectural discussions, and help shape solutions that improve performance, scalability, and maintainability, while also ensuring alignment with business priorities. What You'll Do * Assemble large, complex data sets that meet functional and non-functional business requirements. * Identify, design, and implement process improvements, including automation, data delivery optimization, and infrastructure redesign for scalability. * Lead and deliver data-driven solutions across multiple languages, tools, and technologies. * Contribute to architecture discussions, solution design, and strategic technology adoption. * Build and optimize highly scalable data pipelines incorporating complex transformations and efficient code. * Design and develop new source system integrations from varied formats (files, database extracts, APIs). * Design and implement solutions for delivering data that meets SLA requirements. * Work with operations teams to resolve production issues related to the platform. * Apply best practices such as Agile methodologies, design thinking, and continuous deployment. * Develop tooling and automation to make deployments and production monitoring more repeatable. * Collaborate with business and technology partners, providing leadership, best practices, and coaching. * Mentor peers and junior engineers; educate colleagues on emerging industry trends and technologies. Your Skills & Abilities (Required Qualifications) * Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent experience * 7+ years of data engineering/development experience, including Python or Scala, SQL, and relational/non-relational data storage. (ETL frameworks, big data processing, NoSQL) * 3+ years of experience in distributed data processing (Spark) and container orchestration (Kubernetes) * Proficiency in data streaming in Kubernetes and Kafka * Experience with cloud platforms - Azure preferred; AWS or GCP also considered. * Solid understanding of CI/CD principles and tools * Familiarity with big data technologies such as Hadoop, Hive, HBase, Object Storage (ADLS/S3), Event Queues. * Strong understanding of performance optimization techniques such as partitioning, clustering, and caching * Proficiency with SQL, key-value datastores, and document stores * Familiarity with data architecture and modeling concepts to support efficient data consumption * Strong collaboration and communication skills; ability to work across multiple teams and disciplines. What Can Give You a Competitive Advantage (Preferred Qualifications) * Master's degree in Computer Science, Software Engineering, or related field * Knowledge of data governance, metadata management, or data quality/observability * Familiarity with schema design and data contracts * Experience handling various file formats (video, audio, image) * Experience with Databricks, Snowflake, or similar platforms * Experience designing and implementing robust data ingestion frameworks for heterogeneous data sources (structured/unstructured files, external suppliers, supplier chain systems). This job may be eligible for relocation benefits. Compensation: * The expected base compensation for this role is: $134,000 - $219,400. Actual base compensation within the identified range will vary based on factors relevant to the position. * Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. * Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.) #LI-CC1 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Austin Innovation Technical Center, three times per week. We are the Physical eCommerce Software Engineering team within the Digital Products Engineering (DPE) organization at GM. Our team is responsible for the GM Global B2C and B2B eCommerce solution for physical products (Parts & Accessories), and provide backend services for the sales of GM Energy Products (Home Charger and Charger Adapters). We collaborate closely with Accessories marketing and CCA businesses driving online sales through our platform, providing an end to end digital and innovative experience at scale while providing meaningful value to our customers through a seamless customer experience. Our main goals are improving the customer experience, driving sales, and expanding our solution to other potential lines of business for physical products with the opportunity to explore Market Place approaches. As a Software Engineering team our mission is to rapidly and relentlessly ideate, iterate, and launch the innovative solutions to connect GM with current and future customers. Our team comprises industry-leading software, quality, dev ops and data engineers, who utilize a variety of innovative development methodologies and technologies to achieve breakthrough results, drive innovation, delight customers, and keep our environments available to help business to achieve revenue goals. The Role We're seeking a passionate and experienced Senior Data Engineer to lead design, implementation, and improvements to the database schemas and ETL processes. You will play a key role in performance optimization, managing data across environments, and debugging complex issues. You will also be responsible for detection and resolution of production data issues, along with root cause analysis and preventative measures. You will be responsible for helping to lead our engineering efforts through planning, design and architecture, and execution. As a technical leader on the team, you will drive best practices, mentor less experienced engineers, build strong relationships with technical leaders on other teams, and facilitate a strong team culture. What You'll do Drive the design, implementation, and optimization of database schemas Own our ETL processes for Parts and Accessories catalogs, pricing, fitment, and related data Identify gaps and improvement opportunities in existing processes, and design/implement new solutions Improve reliability of ETL processes, reducing incidents counts and time to detect/resolve issues Performance tuning of SQL queries and ETL processes Work with data, development, and operations teams to design solutions and debug complex issues Plan and lead production database and ETL activities with zero disruption or downtime Identify gaps and improvement opportunities in monitoring systems Lead efforts in migrating to new platforms and technologies Work closely with junior data engineers to grow their skillsets Understand and adhere to Autocare industry standards Initiate, plan, and execute large-scale, cross functional, and org-wide critical programs Leverage your technical leadership to ensure we adhere to engineering best practices, and evangelize opportunities to improve engineering productivity and craftsmanship Lead code reviews, establish best practices, and contribute to a culture of continuous improvement. Required Qualifications Bachelor's degree in computer science or related field or related practical experience 5+ years of professional experience with a focus in data engineering Master level proficiency in Java, Python, and BASH scripting Mastery in comprehension and application of data architecture standards and design patterns. Mastery of table and query tuning, data loading, and data management techniques Expert Knowledge of data replication and/or disaster recovery capabilities Mastery in identifying gaps in data to support requests and deliver business value Mastery in breaking down deliverables into tasks with estimates and dependencies Mastery in core set of relational or NoSQL databases (i.e Oracle and Postgres) Ability to drive architecture change in order to provide world class data solutions Excellent oral and written communication skills Preferred Qualifications: 10+ years of professional experience in software industry 5+ years of experience contributing to the architecture, documentation and design of new and existing systems (architecture, design patterns, reliability, and scaling) Professional experience in an eCommerce space Professional experience working with HCL Commerce Professional experience with Datadog Professional experience integrating with Coveo search platform Experience with automotive industry standards GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. This job may be eligible for relocation benefits. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

**This role is categorized as hybrid. This means the successful candidate is expected to report to Austin, TX three times per week, at minimum [or other frequency dictated by the business if more than 3 days].** **The Role** Join our GPSC Insight Engineering team, responsible for ideating, incubating, and delivering new data solutions for global purchasing supply chain (GPSC) and our partners. As a Staff Data Engineer, you'll be a technical lead for a small team of data engineers in designing and building scalable, high-performant data solutions to support the increasing needs of the GPSC organization. As a senior level Data Engineer, you will design and build industrialized data assets and pipelines to support Business Intelligence and Advanced Analytics objectives. In this senior-level technical leadership role, you'll bring a passion for quality, efficiency, and reliability, along with proven experience leading complex data engineering initiatives from concept to production. You will work in a highly collaborative environment across databases, streaming technology, CI/CD, cloud platforms, and modern data engineering tools-to create large, complex data sets that meet both functional and non-functional business requirements. Beyond strong data engineering skills, you should have a solid foundation in modern software engineering principles-including code quality, design patterns, testing, and CI/CD-to deliver robust, maintainable, and production-ready systems. The ideal candidate combines a data-driven mindset with a strong understanding of business priorities, demonstrating creativity, sound decision-making, and the ability to influence and collaborate across teams. **What You'll Do** + Provide technical leadership for complex data engineering initiatives from concept through production, ensuring solutions are high-quality, efficient, and reliable. + Assemble large, complex data sets that meet both functional and non-functional business requirements. + Identify, design, and implement process improvements, including automation, data delivery optimization, and redesign for greater scalability. + Architect, build, and optimize highly scalable data pipelines that incorporate complex transformations and efficient, maintainable code. + Design and develop new source system integrations from a variety of formats including files, database extracts, and APIs. + Lead and deliver data-driven solutions across multiple languages, tools, and technologies, contributing to architecture discussions, solution design, and strategic technology adoption. + Develop solutions for delivering data that consistently meets SLA requirements and supports operational excellence. + Partner closely with operations teams to troubleshoot and resolve production issues, ensuring platform stability. + Drive engineering excellence by applying Agile methodologies, design thinking, continuous deployment, CI/CD best practices, and performance tuning strategies. + Build tooling and automation to make deployments, production monitoring, and operational support more repeatable and efficient. + Collaborate with business and technology partners, providing strategic guidance, leadership, and coaching to influence outcomes and align with enterprise goals. + Actively mentor peers and junior engineers, fostering a culture of learning, innovation, and continuous improvement, while educating colleagues on emerging industry trends and technologies. + Represent the team in executive-level forums to communicate status, risks, opportunities, and the strategic value of data engineering initiatives. **Your Skills & Abilities (Required Qualifications)** + Bachelor's degree in Computer Science, Software Engineering, or related field + 10+ years of experience in data engineering, including Python or Scala, SQL, and relational/non-relational storage (ETL frameworks, big data processing, NoSQL) + 5+ years of experience in distributed, petabyte-scale data processing with Spark and container orchestration (Kubernetes) + Hands-on experience with real-time data streaming in Kubernetes and Kafka + Expertise in performance tuning (partitioning, clustering, caching, serialization techniques) + Proficiency with SQL, key-value datastores, and document stores + Strong CI/CD expertise and best practices + Background in data architecture and modeling for optimized consumption patterns + Proven experience developing data models and schemas for efficient storage, retrieval, and analytics, with query performance optimization + Cloud experience with at least one major platform (Azure preferred; AWS or GCP acceptable) + Strong teamwork and leadership skills to collaborate and influence across product, program, and engineering teams + Commitment to ensuring data security, privacy, and regulatory compliance **What Can Give You a Competitive Advantage (Preferred Qualifications)** + Master's degree in Computer Science, Software Engineering, or related field + Background in data governance, metadata management, and/or data quality/observability + Knowledge of schema design and data contracts + Experience processing and storing media file formats (video, audio, image) + Experience with tools such as Databricks or Snowflake + Experience designing and implementing robust data ingestion frameworks for heterogeneous data sources, including structured and unstructured files (e.g., CSV, JSON, XML, log files, sensor data) This job may be eligible for relocation benefits. Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. Compensation: + The expected base compensation for this role is: $165,000 - $270,900. Actual base compensation within the identified range will vary based on factors relevant to the position. + **Bonus Potential:** An incentive pay program offers payouts based on company performance, job level, and individual performance. + **Benefits** : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.) **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

This role is categorized as hybrid. This means the successful candidate is expected to report to Austin, TX three times per week, at minimum [or other frequency dictated by the business if more than 3 days]. The Role Join our GPSC Insight Engineering team, responsible for ideating, incubating, and delivering new data solutions for global purchasing supply chain (GPSC) and our partners. As a Staff Data Engineer, you'll be a technical lead for a small team of data engineers in designing and building scalable, high-performant data solutions to support the increasing needs of the GPSC organization. As a senior level Data Engineer, you will design and build industrialized data assets and pipelines to support Business Intelligence and Advanced Analytics objectives. In this senior-level technical leadership role, you'll bring a passion for quality, efficiency, and reliability, along with proven experience leading complex data engineering initiatives from concept to production. You will work in a highly collaborative environment across databases, streaming technology, CI/CD, cloud platforms, and modern data engineering tools-to create large, complex data sets that meet both functional and non-functional business requirements. Beyond strong data engineering skills, you should have a solid foundation in modern software engineering principles-including code quality, design patterns, testing, and CI/CD-to deliver robust, maintainable, and production-ready systems. The ideal candidate combines a data-driven mindset with a strong understanding of business priorities, demonstrating creativity, sound decision-making, and the ability to influence and collaborate across teams. What You'll Do * Provide technical leadership for complex data engineering initiatives from concept through production, ensuring solutions are high-quality, efficient, and reliable. * Assemble large, complex data sets that meet both functional and non-functional business requirements. * Identify, design, and implement process improvements, including automation, data delivery optimization, and redesign for greater scalability. * Architect, build, and optimize highly scalable data pipelines that incorporate complex transformations and efficient, maintainable code. * Design and develop new source system integrations from a variety of formats including files, database extracts, and APIs. * Lead and deliver data-driven solutions across multiple languages, tools, and technologies, contributing to architecture discussions, solution design, and strategic technology adoption. * Develop solutions for delivering data that consistently meets SLA requirements and supports operational excellence. * Partner closely with operations teams to troubleshoot and resolve production issues, ensuring platform stability. * Drive engineering excellence by applying Agile methodologies, design thinking, continuous deployment, CI/CD best practices, and performance tuning strategies. * Build tooling and automation to make deployments, production monitoring, and operational support more repeatable and efficient. * Collaborate with business and technology partners, providing strategic guidance, leadership, and coaching to influence outcomes and align with enterprise goals. * Actively mentor peers and junior engineers, fostering a culture of learning, innovation, and continuous improvement, while educating colleagues on emerging industry trends and technologies. * Represent the team in executive-level forums to communicate status, risks, opportunities, and the strategic value of data engineering initiatives. Your Skills & Abilities (Required Qualifications) * Bachelor's degree in Computer Science, Software Engineering, or related field * 10+ years of experience in data engineering, including Python or Scala, SQL, and relational/non-relational storage (ETL frameworks, big data processing, NoSQL) * 5+ years of experience in distributed, petabyte-scale data processing with Spark and container orchestration (Kubernetes) * Hands-on experience with real-time data streaming in Kubernetes and Kafka * Expertise in performance tuning (partitioning, clustering, caching, serialization techniques) * Proficiency with SQL, key-value datastores, and document stores * Strong CI/CD expertise and best practices * Background in data architecture and modeling for optimized consumption patterns * Proven experience developing data models and schemas for efficient storage, retrieval, and analytics, with query performance optimization * Cloud experience with at least one major platform (Azure preferred; AWS or GCP acceptable) * Strong teamwork and leadership skills to collaborate and influence across product, program, and engineering teams * Commitment to ensuring data security, privacy, and regulatory compliance What Can Give You a Competitive Advantage (Preferred Qualifications) * Master's degree in Computer Science, Software Engineering, or related field * Background in data governance, metadata management, and/or data quality/observability * Knowledge of schema design and data contracts * Experience processing and storing media file formats (video, audio, image) * Experience with tools such as Databricks or Snowflake * Experience designing and implementing robust data ingestion frameworks for heterogeneous data sources, including structured and unstructured files (e.g., CSV, JSON, XML, log files, sensor data) This job may be eligible for relocation benefits. Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. Compensation: * The expected base compensation for this role is: $165,000 - $270,900. Actual base compensation within the identified range will vary based on factors relevant to the position. * Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. * Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.) About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary We are seeking a Staff Data Engineer to drive the advancement of our Large Driving Model (LDM). The successful candidate will be responsible for the end-to-end data strategy that fuels our models, from mining and curation to experimental collaboration. You will build the pipelines that surface high-value examples, refine evaluation benchmarks, and partner closely with modeling teams to accelerate model performance. Your work will directly influence the intelligence and safety of our autonomous capabilities, serving as a critical pillar in our mission. If you are an independent technical leader, highly analytical, and passionate about data-centric AI, we would like to talk with you! Responsibilities Build scalable data mining pipelines to extract rare and critical driving scenarios from fleet data. Curate and analyze large-scale training datasets to improve the robustness and generalization of the Large Driving Model. Design and enhance evaluation frameworks to rigorously measure model performance against complex real-world baselines. Collaborate closely with modeling engineers to define data requirements and iterate on rapid experimental loops. Identify trends, anomalies, and data distribution shifts that impact model training and validation. Serve as a key technical authority within the department, offering guidance on current and future data infrastructure and strategy. Navigate complex tradeoffs between data quality, scale, and compute budgets, ensuring architectural decisions align with company priorities. Empower fellow engineers by crafting easily extendable and collaborative designs and code. Display the ability to influence and foster consensus across data and modeling teams, even during challenging technical discussions. Qualifications B.S. or M.S. in Computer Science, Data Science, Robotics, Engineering, or a related field. 8+ years of experience as a Data Engineer or Machine Learning Engineer, preferably within the autonomous driving, robotics, or LDM space. Demonstrated potential or experience in technical leadership (TLM), capable of mentoring engineers and managing project roadmaps. Demonstrated ability to set direction and guide the team towards it. Expert level knowledge and experience in Python, SQL, and distributed data processing frameworks. Solid understanding of data-centric AI, dataset curation strategies, and model evaluation methodologies. Experience with large-scale sensor data (LiDAR, Camera) or complex robotics systems. Excellent problem-solving skills and attention to detail. Capable of working in a fast-paced development environment. Good team player with excellent communication skills that can build team consensus. Passionately motivated to take ideas from experimental validation to a verified product. Hands-on approach: Proactively identifies and fills in gaps where needed. Pay Disclosure Salary Range for California Based Applicants: $228,000.00 - $285,000.00 (actual compensation will be determined based on experience, location, and other factors permitted by law). Benefits Summary: Rivian provides robust medical/Rx, dental and vision insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment. Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services. B.S. or M.S. in Computer Science, Data Science, Robotics, Engineering, or a related field. 8+ years of experience as a Data Engineer or Machine Learning Engineer, preferably within the autonomous driving, robotics, or LDM space. Demonstrated potential or experience in technical leadership (TLM), capable of mentoring engineers and managing project roadmaps. Demonstrated ability to set direction and guide the team towards it. Expert level knowledge and experience in Python, SQL, and distributed data processing frameworks. Solid understanding of data-centric AI, dataset curation strategies, and model evaluation methodologies. Experience with large-scale sensor data (LiDAR, Camera) or complex robotics systems. Excellent problem-solving skills and attention to detail. Capable of working in a fast-paced development environment. Good team player with excellent communication skills that can build team consensus. Passionately motivated to take ideas from experimental validation to a verified product. Hands-on approach: Proactively identifies and fills in gaps where needed. Build scalable data mining pipelines to extract rare and critical driving scenarios from fleet data. Curate and analyze large-scale training datasets to improve the robustness and generalization of the Large Driving Model. Design and enhance evaluation frameworks to rigorously measure model performance against complex real-world baselines. Collaborate closely with modeling engineers to define data requirements and iterate on rapid experimental loops. Identify trends, anomalies, and data distribution shifts that impact model training and validation. Serve as a key technical authority within the department, offering guidance on current and future data infrastructure and strategy. Navigate complex tradeoffs between data quality, scale, and compute budgets, ensuring architectural decisions align with company priorities. Empower fellow engineers by crafting easily extendable and collaborative designs and code. Display the ability to influence and foster consensus across data and modeling teams, even during challenging technical discussions.

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary We are seeking a Staff Data Engineer to drive the advancement of our Large Driving Model (LDM). The successful candidate will be responsible for the end-to-end data strategy that fuels our models, from mining and curation to experimental collaboration. You will build the pipelines that surface high-value examples, refine evaluation benchmarks, and partner closely with modeling teams to accelerate model performance. Your work will directly influence the intelligence and safety of our autonomous capabilities, serving as a critical pillar in our mission. If you are an independent technical leader, highly analytical, and passionate about data-centric AI, we would like to talk with you! Responsibilities Build scalable data mining pipelines to extract rare and critical driving scenarios from fleet data. Curate and analyze large-scale training datasets to improve the robustness and generalization of the Large Driving Model. Design and enhance evaluation frameworks to rigorously measure model performance against complex real-world baselines. Collaborate closely with modeling engineers to define data requirements and iterate on rapid experimental loops. Identify trends, anomalies, and data distribution shifts that impact model training and validation. Serve as a key technical authority within the department, offering guidance on current and future data infrastructure and strategy. Navigate complex tradeoffs between data quality, scale, and compute budgets, ensuring architectural decisions align with company priorities. Empower fellow engineers by crafting easily extendable and collaborative designs and code. Display the ability to influence and foster consensus across data and modeling teams, even during challenging technical discussions. Qualifications B.S. or M.S. in Computer Science, Data Science, Robotics, Engineering, or a related field. 8+ years of experience as a Data Engineer or Machine Learning Engineer, preferably within the autonomous driving, robotics, or LDM space. Demonstrated potential or experience in technical leadership (TLM), capable of mentoring engineers and managing project roadmaps. Demonstrated ability to set direction and guide the team towards it. Expert level knowledge and experience in Python, SQL, and distributed data processing frameworks. Solid understanding of data-centric AI, dataset curation strategies, and model evaluation methodologies. Experience with large-scale sensor data (LiDAR, Camera) or complex robotics systems. Excellent problem-solving skills and attention to detail. Capable of working in a fast-paced development environment. Good team player with excellent communication skills that can build team consensus. Passionately motivated to take ideas from experimental validation to a verified product. Hands-on approach: Proactively identifies and fills in gaps where needed. Pay Disclosure Salary Range for California Based Applicants: $228,000.00 - $285,000.00 (actual compensation will be determined based on experience, location, and other factors permitted by law). Benefits Summary: Rivian provides robust medical/Rx, dental and vision insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment. Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services. B.S. or M.S. in Computer Science, Data Science, Robotics, Engineering, or a related field. 8+ years of experience as a Data Engineer or Machine Learning Engineer, preferably within the autonomous driving, robotics, or LDM space. Demonstrated potential or experience in technical leadership (TLM), capable of mentoring engineers and managing project roadmaps. Demonstrated ability to set direction and guide the team towards it. Expert level knowledge and experience in Python, SQL, and distributed data processing frameworks. Solid understanding of data-centric AI, dataset curation strategies, and model evaluation methodologies. Experience with large-scale sensor data (LiDAR, Camera) or complex robotics systems. Excellent problem-solving skills and attention to detail. Capable of working in a fast-paced development environment. Good team player with excellent communication skills that can build team consensus. Passionately motivated to take ideas from experimental validation to a verified product. Hands-on approach: Proactively identifies and fills in gaps where needed. Build scalable data mining pipelines to extract rare and critical driving scenarios from fleet data. Curate and analyze large-scale training datasets to improve the robustness and generalization of the Large Driving Model. Design and enhance evaluation frameworks to rigorously measure model performance against complex real-world baselines. Collaborate closely with modeling engineers to define data requirements and iterate on rapid experimental loops. Identify trends, anomalies, and data distribution shifts that impact model training and validation. Serve as a key technical authority within the department, offering guidance on current and future data infrastructure and strategy. Navigate complex tradeoffs between data quality, scale, and compute budgets, ensuring architectural decisions align with company priorities. Empower fellow engineers by crafting easily extendable and collaborative designs and code. Display the ability to influence and foster consensus across data and modeling teams, even during challenging technical discussions.

Inside the Role The TT/S Process, Methods, Tools, and Operations team is seeking a specialist with hands-on experience in software development pipeline metrics, complex ETL workflows, and cross-functional data interpretation. This role requires someone who has previously worked with TT/S's internal data systems, understands existing metric definitions, and can independently maintain and enhance our current visualization ecosystem. This group is part of the Process, Methods, Tools, and Operations (PMTO) department within TT/S. Established in 2021, TT/S is a global software and electronics group that is responsible for all global SW & EE development to deliver world-class software and features. TT/S is a global organization with over 1,400 people across the US, Germany, and India. This position is located in Portland and reports the local PMTO manager. Posting Information We provide a scheduled posting end date to assist our candidates with their application planning. While this date reflects our latest plans, it is subject to change, and postings may be extended or removed earlier than expected. We Take Care of Our Team Position offers a starting salary range of $71,000 - $91,000 USD Pay offered dependent on knowledge, skills, and experience. Benefits include annual bonus program; 401k company contribution with company match up to 6% as well as non-elective company contribution of 3 - 7% depending on age; starting at 4 weeks paid vacation; 13+ calendar holidays; 8 weeks paid parental leave; employee assistance program; comprehensive healthcare plans and wellness programs; onsite fitness (at some locations); tuition assistance and volunteer paid time off; short-term and long-term disability plans. What You Drive At DTNA 1. Software Development Metrics Expertise · Build and maintain data pipelines specifically for software development lifecycle (SDLC) metrics, including backlog flow, cycle time, throughput, defect metrics, and team performance indicators. · Apply knowledge of DTNA's current SDLC tooling, workflows, and metadata structures to ensure metric accuracy and consistency. 2. Advanced Visualization & Reporting · Design dashboard suites currently used within TTS leadership, ensuring continuity with existing visual standards, business rules, and naming conventions. · Maintain and extend existing Tableau/Power BI dashboards that are already deployed to internal teams. 3. Tools & Technologies · Utilize: o SAP HANA + custom SQL tuned for large-scale metric calculations o Alteryx for pipeline automation o AQT for troubleshooting and validating existing data models o Python scripting for metric calculation, anomaly detection, and reproducibility · Maintain and optimize existing ETL workflows built for current DTNA pipeline metrics. 4. Data Integration & ETL Ownership · Independently manage ETL processes already in production, ensuring stability and accuracy. · Integrate with established APIs, internal databases, and SDLC tools (such as Jira or internal equivalents). 5. User Experience & Adoption · Work directly with business owners who rely on the current dashboards and pipelines, incorporating feedback that maintains continuity in design and workflow. · Ensure dashboards remain intuitive for existing stakeholders and align with their current methods of data consumption. 6. Collaboration & Stakeholder Alignment · Work closely with DTNA's global data owners and engineering leadership, leveraging established relationships and existing knowledge of team structures. · Translate metric definitions and data issues into actionable solutions with minimal onboarding. 7. Predictive Analytics & Trend Modeling · Apply domain knowledge of DTNA's historical metric patterns to create forecasting or anomaly-detection models. · Use prior experience with DTNA data to identify realistic trends and noise. Knowledge You Should Bring Bachelor's or Master's in Data Science, Computer Science, Information Systems, or a related field. 5-7 years of related experience Demonstrated prior experience working with DTNA data environments, SDLC metrics, or equivalent enterprise-scale engineering metrics programs. Proven record of building software development metric dashboards using Tableau or Power BI. Proficiency with SAP HANA SQL, Alteryx, and Python for ETL and metric calculations. Strong communication skills for interacting with engineering leadership and cross-functional teams. Experience maintaining existing dashboards, ETL flows, and metric definitions in a production environment. Exceptional Candidates Might Have Direct prior experience supporting TT/S or similar internal groups. Familiarity with established DTNA naming conventions, metric definitions, and internal data sources. Ability to work autonomously with minimal onboarding due to prior exposure to DTNA/DT/TTS systems. Experience collaborating with global data owners across DT Network within TT/S, locally and/or globally. Exposure to a Sr Sw Developer and Agile Coaching Methods Where We Work This position is open to applicants who can work in (or relocate to) the following location(s)- Portland, OR US. Relocation assistance is not available for this position. Schedule Type: Hybrid (4 days per week in-office / 1 day remote). This schedule builds our #OneTeamBestTeam culture, provides an unparalleled customer experience, and creates innovative solutions through in-person collaboration. At Daimler Truck North America, we recognize our world is changing faster than ever before. By listening to the needs of today, we're building to solve with cutting-edge solutions in sustainability and future driving technology across electric, hydrogen and autonomous. These solutions, backed by years of innovative success and achievement, continue DTNA's legacy as the undisputed industry leader. Our evolving brand portfolio is second to none, including Freightliner Trucks, Western Star, Demand Detroit, Thomas Built Buses, Freightliner Custom Chassis, and Financial Services. Together, we work as one team towards our envisioned future - building a cleaner, safer and more efficient tomorrow for all. That is what we are working toward - for all who keep the world moving. Additional Information This position is not open for Visa sponsorship or to existing Visa holders Applicants must be legally authorized to work permanently in the country the position is located in at the time of application Final candidate must successfully complete a criminal background check Final candidate may be required to successfully complete a pre-employment drug screen Contractors, professional services, or other contingent workers should confirm with their local agency if they are eligible to apply for FTE positions EEO - Disabled/Veterans Daimler Truck North America is committed to workforce inclusion and providing an environment where equal employment opportunities are available to all applicants and employees without regard to race, color, sex (including pregnancy), religion, national origin, age, marital status, family relationship, disability, sexual orientation, gender identity and expression (including transgender and transitioning status), genetic information, or veteran status. For an accommodation or special assistance with applying for a posted position, please contact our Human Resources department at ************ or toll free ************. For TTY/TDD enabled call ************ or toll free ************.

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation. Enterprise Technology plays a critical part in shaping the future of mobility. If you're looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people's lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are. Responsibilities What you'll be able to do: Full Stack Data Engineer - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a hybrid position whereby the employee will work both from home and from the Dearborn office. Hence, the employee must live within a reasonable commuting distance from Dearborn, MI. Develop scalable big data pipeline solutions in the Ford GCP Data Factory. Advanced knowledge of the GCP ecosystem with a focus on Big Query and Dataflow. Design and code Big Query to ingest data collections. Analyze user needs to determine how software should be built or if existing software should be modified. Participate in design, delivery estimates and code reviews. Develop and/or perform software automated testing procedures, solutions, and frameworks to ensure software functions as needed. Translate business requirements and specifications into usable and scalable software. Process and understand capabilities and limitations of data outputs from the software. Determine and execute the software deployment process and troubleshoot performance issues. Develop data quality and validation routines. Build distributed reliable and scalable data pipelines to ingest and process data in real-time and other unstructured data. Build data model, data flow diagrams, design test cases, and own development tasks for assigned products. Generate code artifacts and user version control such as Github. Qualifications You'll have… Master's degree or foreign equivalent in Information Technology, Computer Science, Computer Engineering, Electrical Engineering, or related field and 3 years of experience in the job offered or related occupation. Alternatively, employer will accept a Bachelor's degree or foreign equivalent in Information Technology, Computer Science, Computer Engineering, Electrical Engineering, or related field and 5 years of progressive, post-baccalaureate experience in the job offered or related occupation. Any suitable combination of education, training, or experience is acceptable. 3 years of experience with the following skill is required: 1. Java or Python programming to build large scalable data pipelines or data products. 2 years of experience with each of the following skills is required: 1. Real time streaming including Kafka or pub/sub. 2. Support building data pipeline using one of the following Databases: MSSQL, SQL Server, PGSQL, or BigQuery. 1 year of experience with each of the following skills is required: 1. Agile Methodology. 2. Connected vehicle data management or similar large data. We are offering a salary of $138,486.00 - $176,800.08/yr. You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all the above? No matter what you choose, we offer a work life that works for you, including: • Immediate medical, dental, and prescription drug coverage • Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more • Vehicle discount program for employees and family members, and management leases • Tuition assistance • Established and active employee resource groups • Paid time off for individual and team community service • A generous schedule of paid holidays, including the week between Christmas and New Year's Day • Paid time off and the option to purchase additional vacation time. For a detailed look at our benefits, click here: ******************************* Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call **************. #LI-DNI #DNP

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation. The people of Ford Motor Credit Company have a 60-year commitment to helping put people behind the wheels of great Ford and Lincoln vehicles. By partnering with dealerships, we provide financing, personalized service and professional expertise to five thousand dealers and more than four million customers in over 100 countries around the world. If you're customer-focused, driven and seeking the opportunity to experience exciting challenges and growth, look no further. Responsibilities What you'll be able to do: Senior Data Engineer - positions offered by Ford Motor Credit Company LLC (Dearborn, Michigan). Note, this is a hybrid position whereby the employee will work both from home and from the Dearborn office. Hence, the employee must live within a reasonable commuting distance from Dearborn, MI. Build data products on a cloud analytics platform. Work on ingesting, transforming, and analyzing large datasets to support the Enterprise in the Data Factory on Google Cloud Platform (GCP). Perform software engineering duties in a collaborative environment that leverages paired programming. Support a small agile team to deliver curated data products. Coordinate effectively with fellow data engineers, product owners, data champions, and other technical experts. Demonstrate technical knowledge and communication skills with the ability to advocate for well-designed solutions. Develop exceptional analytical data products using both streaming and batch ingestion patterns on Google Cloud Platform with solid data warehouse principles. Serve as the Subject-Matter-Expert in Data Engineering with a focus on GCP native services and other well integrated third-party technologies, including analyzing complex data, organizing raw data, and integrating massive datasets from multiple data sources to build analytical domains and reusable data products, as well as evaluate and productionalize data pipelines for data ingestion, curation, and consumption. Implement methods for automation of all parts of the pipeline to minimize labor in development and production. Qualifications You'll have... Bachelor's degree or foreign equivalent in Computer Science, Computer Engineering, Information Technology or related field and 5 years of experience in the job offered or related occupation. 5 years of experience with each of the following skills is required: 1. Designing, developing, integrating, and implementing Data Warehouses, Data mart and application development. 2. Handling SQLs to fulfill analytics needs. 3. Data Warehousing, using Teradata, to perform data validation from the legacy Teradata data warehouse. 4. Analyzing data, organizing raw data, and integrating massive datasets from multiple data sources to build analytical domains and reusable data products. 2 years of experience with each of the following skills is required: 1. At least 3 of the native GCP services: Big Query, Dataflow, Data Proc, Kafka, Pub sub, Cloud run, Terraform, Data Prep, Airflow, Astronomer, or Google Cloud Storage. 2. Working with Terraform to provision Infrastructure as Code. We are offering a salary of $140,629.00 - $176,800.08/yr. You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Credit Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all the above? No matter what you choose, we offer a work life that works for you, including: • Immediate medical, dental, and prescription drug coverage • Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more • Vehicle discount program for employees and family members, and management leases • Tuition assistance • Established and active employee resource groups • Paid time off for individual and team community service • A generous schedule of paid holidays, including the week between Christmas and New Year's Day • Paid time off and the option to purchase additional vacation time. For a detailed look at our benefits, click here: ******************************* Candidates for positions with Ford Motor Credit Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call **************. #LI-DNI #DNP

In this role… We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves? Ford's Electric Vehicles, Digital and Design (EVDD) team is charged with delivering the company's vision of a fully electric transportation future. EVDD is customer-obsessed, entrepreneurial, and data-driven and is dedicated to delivering industry-leading customer experience for electric vehicle buyers and owners. You'll join an agile team of doers pioneering our EV future by working collaboratively, staying focused on only what matters, and delivering excellence day in and day out. Join us to make positive change by helping build a better world where every person is free to move and pursue their dreams. Ford's Electric Vehicles, Digital and Design (EVDD) Connected Vehicle Services Quality Team is looking for Data Analytics Engineers to manage connected vehicle data indicators supporting key vehicle launches and current vehicle quality issues. The engineer will manage and support triage of primarily Diagnostic Trouble Code (DTC) related issues during vehicle launches, develop Connected Vehicle data solutions for internal customers, and work with the engineering teams on use of data for problem solving. We are looking for team members who have a passion for growing their skills, tackling exciting “leading edge” work, have a passion for customer quality, and like problem solving potential concerns. Responsibilities What you'll do… Work with PD teams to extract, summarize, and analyze Connected Vehicle data to further understand and problem solve potential issues Work with program launch teams, plant resident engineers, and program software/hardware engineers to triage vehicle faults (DTCs) setting at the plant, dealership, or customer with the goal of implementing corrective actions avoiding warranty issues Enhance the use of Connected Vehicle data (e.g., battery SOC data, door ajar, warning lights, etc.) through the ideation and development of tools/methods for problem solving Use and develop processes, tools and methods to obtain insight from large files of Connected Vehicle data Apply project management disciplines by making sure that risks are identified, mitigated, or escalated Promote and use Agile Data Collection methods (RDR, PARSED and CARMon) in support engineering problem solving and data-driven decisions Build strong and trusting relationships with business partners across Ford North American organizations Qualifications You'll Have… Bachelor's Degree in Mechanical/Mechatronics Engineering, Electrical Engineering or Computer Science related field 2+ year of experience in Big Data Analytics manipulating data to form unified data sets for analysis 2+ years of experience in automotive ECUs design/Systems/integration/validation. 1+ year of experience in vehicle's network communication (CAN, LIN & Ethernet communication). 1+ year experience in query languages, SQL, HiveQL, Google BigQuery, or Spark Even better, you may have… 3+ years of experience in Big Data Analytics 2+ years of experience in query languages, SQL, HiveQL, Google BigQuery, or Spark. Ability to understand how to ingest large data sets from a variety of sources (SQL, Python, Java, Hadoop, Alteryx, Qlik Sense, etc) Knowledge of data management Experience with Automotive systems, features, and/or components 2+ years of experience in vehicle's network communication (CAN, LIN & Ethernet communication). Proficient with GitHub and JIRA Strong visualize skills in communicating data insights to make data analysis measurable and understandable by business partners Ability to take complex problems and break them down to build and implement an action plan Strong collaboration and communication skills, ability to engage with upper management, and peers Self-motivated individual with a high level of initiative Ability to prioritize in a fast-paced, sophisticated, global environment Strong organizational and time management skills with the ability to coordinate multiple teams and projects Ability to consistently perform at a high level of technical competence, showing composure and decisiveness under pressure Excellent interpersonal, written, and oral communication skills You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including: • Immediate medical, dental, vision and prescription drug coverage • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more • Vehicle discount program for employees and family members and management leases • Tuition assistance • Established and active employee resource groups • Paid time off for individual and team community service • A generous schedule of paid holidays, including the week between Christmas and New Year's Day • Paid time off and the option to purchase additional vacation time. For more information on salary and benefits, click here: ***************************** This position is a range of salary grades 6-8 . Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call **************. This position is hybrid. Candidates will be required to be onsite four or more days per week. #LI-Hybrid #LI-CS2

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves? Subscription Services play a critical part in shaping the future of Ford, enhancing vehicle sales and improving customer loyalty. If you're looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance subscription services capabilities and deliver a first-class customer experience, this is the opportunity for you. The Subscription Data Engineer is responsible for designing, building and maintaining robust data and analytics solutions through a blend of business acumen, data and analytics proficiency and technology. **What you'll do...** + Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making + Own the design, implementation and maintenance of ongoing metrics, reports, analyses and end-user tools to drive key decisions and platform operations + Collaborate with stakeholders to understand current and future data requirements + Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow + Partner with Data Science and Data Management teams to improve data completeness, usability, and reporting + Use advanced visualization and business intelligence tools + Use data modeling tools, data analysis tools, advanced programming languages like R, Python, SQL, etc. + Support an environment that enables continuous improvement and contribute to establishing a learning organization **You'll have...** + Bachelor's degree in Computer Science, Information Technology, Software Engineering or related field + 5+ years of hands-on data engineering and subscription management experience + Experience and proficiency in SQL, including writing complex queries, performing joins, aggregating data, and optimizing queries to extract data + Experience with a data analysis programming language (e.g., Python or R) + Proficiency with data visualization and Business Intelligence (BI) Tools + Proven ability to Clean, Transform, and Prepare Data for Analysis: Understanding common data issues (missing values, inconsistencies, outliers) and techniques to address them efficiently. + Strong Analytical and Critical Thinking Skills, including the ability to understand business problems, formulate relevant analytical questions, interpret data, identify trends and patterns, and draw actionable conclusions. **Even better, you may have...** + Previous experience with Cloud Data Platforms (e.g., AWS S3, Redshift, Azure Data Lake/Synapse, Google BigQuery), including familiarity with accessing, querying, or working with data stored in cloud environments. + Experience with version control systems, particularly Git for collaborating on code, managing changes, and maintaining project history + Understanding of common metrics, challenges, and data sources specific to subscription management + Experience presenting and communicating data or insights to senior leadership You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including: - Immediate medical, dental, vision and prescription drug coverage - Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more - Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more - Vehicle discount program for employees and family members and management leases - Tuition assistance - Established and active employee resource groups - Paid time off for individual and team community service - A generous schedule of paid holidays, including the week between Christmas and New Year's Day - Paid time off and the option to purchase additional vacation time. For a detailed look at our benefits, click here: ******************************* This position is a range of salary grades 8. Visa sponsorship is available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call **************. \#LI-Hybrid **Requisition ID** : 53489

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves? Subscription Services play a critical part in shaping the future of Ford, enhancing vehicle sales and improving customer loyalty. If you're looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance subscription services capabilities and deliver a first-class customer experience, this is the opportunity for you. The Subscription Data Engineer is responsible for designing, building and maintaining robust data and analytics solutions through a blend of business acumen, data and analytics proficiency and technology. You'll have... Bachelor's degree in Computer Science, Information Technology, Software Engineering or related field 5+ years of hands-on data engineering and subscription management experience Experience and proficiency in SQL, including writing complex queries, performing joins, aggregating data, and optimizing queries to extract data Experience with a data analysis programming language (e.g., Python or R) Proficiency with data visualization and Business Intelligence (BI) Tools Proven ability to Clean, Transform, and Prepare Data for Analysis: Understanding common data issues (missing values, inconsistencies, outliers) and techniques to address them efficiently. Strong Analytical and Critical Thinking Skills, including the ability to understand business problems, formulate relevant analytical questions, interpret data, identify trends and patterns, and draw actionable conclusions. Even better, you may have… Previous experience with Cloud Data Platforms (e.g., AWS S3, Redshift, Azure Data Lake/Synapse, Google BigQuery), including familiarity with accessing, querying, or working with data stored in cloud environments. Experience with version control systems, particularly Git for collaborating on code, managing changes, and maintaining project history Understanding of common metrics, challenges, and data sources specific to subscription management Experience presenting and communicating data or insights to senior leadership You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including: • Immediate medical, dental, vision and prescription drug coverage • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more • Vehicle discount program for employees and family members and management leases • Tuition assistance • Established and active employee resource groups • Paid time off for individual and team community service • A generous schedule of paid holidays, including the week between Christmas and New Year's Day • Paid time off and the option to purchase additional vacation time. For a detailed look at our benefits, click here: ******************************* This position is a range of salary grades 8. Visa sponsorship is available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call **************. #LI-Hybrid What you'll do... Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Own the design, implementation and maintenance of ongoing metrics, reports, analyses and end-user tools to drive key decisions and platform operations Collaborate with stakeholders to understand current and future data requirements Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow Partner with Data Science and Data Management teams to improve data completeness, usability, and reporting Use advanced visualization and business intelligence tools Use data modeling tools, data analysis tools, advanced programming languages like R, Python, SQL, etc. Support an environment that enables continuous improvement and contribute to establishing a learning organization

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves? Subscription Services play a critical part in shaping the future of Ford, enhancing vehicle sales and improving customer loyalty. If you're looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance subscription services capabilities and deliver a first-class customer experience, this is the opportunity for you. The Subscription Data Engineer is responsible for designing, building and maintaining robust data and analytics solutions through a blend of business acumen, data and analytics proficiency and technology. Subscription services play a critical part in shaping the future of Ford, enhancing vehicle sales and improving customer loyalty. If you're looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance subscription services capabilities and deliver a first-class customer experience, this is the opportunity for you. What you'll do... * Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making * Own the design, implementation and maintenance of ongoing metrics, reports, analyses and end-user tools to drive key decisions and platform operations * Collaborate with stakeholders to understand current and future data requirements * Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow * Partner with Data Science and Data Management teams to improve data completeness, usability, and reporting * Use advanced visualization and business intelligence tools * Use data modeling tools, data analysis tools, advanced programming languages like R, Python, SQL, etc. * Support an environment that enables continuous improvement and contribute to establishing a learning organization What you'll do... * Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making * Own the design, implementation and maintenance of ongoing metrics, reports, analyses and end-user tools to drive key decisions and platform operations * Collaborate with stakeholders to understand current and future data requirements * Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow * Partner with Data Science and Data Management teams to improve data completeness, usability, and reporting * Use advanced visualization and business intelligence tools * Use data modeling tools, data analysis tools, advanced programming languages like R, Python, SQL, etc. * Support an environment that enables continuous improvement and contribute to establishing a learning organization

MAG Aerospace is staffing for a **Artificial Intelligence / Machine Learning Data Engineer.** This position will lead the development of intelligent systems that transform multi-modal sensor data into actionable intelligence for tactical operations. You'll leverage COTS, FOSS/OSS, and custom development to build or integrate everything from edge computer vision to conversational AI assistants, while managing the data pipelines that feed these systems in the most challenging environments. While you'll have a core expertise in either data engineering or model development, you have a passion for mastering the full stack of AI systems. US Citizens Only Former US Defense Contractor / US Gov / US Military Experience Only This is a Hybrid Position - Remote mainly - but as well on call to come into a MAG office when requested We are seeking candidates who live in proximity to our corporate HQ in Fairfax, VA primarily but will entertain persons living near our satellite offices in: Aberdeen, MD - Titusville, FL - Newport News, VA - Carthage NC **Essential Duties and Responsibilities** **Duties include, but not limited to:** **Primary Responsibilities:** + Develop and optimize data-centric AI solutions such as computer vision pipelines for object detection, tracking, and classification + Implement advanced AI capabilities including RAG systems, agentic workflows, and fine-tuned LLMs + Design and deploy edge-optimized models using TensorRT, ONNX, and quantization techniques + Build data engineering pipelines for ETL, feature engineering, and model training + Create analytics dashboards and business intelligence solutions for operational insights + Implement multi-modal sensor fusion algorithms (visual, thermal, acoustic, RF) + Design and maintain data lakes, warehouses, and real-time streaming architectures + Develop conversational AI interfaces using open-source LLMs (Llama, Mistral, etc.) + Establish and enforce data quality standards, validation checks, and governance procedures throughout the data lifecycle + Develop and implement robust testing and validation strategies for AI/ML models, including performance under degraded data conditions, adversarial testing, and operational scenarios **Secondary Responsibilities:** + Optimize AI workloads for embedded platforms (Jetson, Intel Neural Compute Stick) + Implement hardware acceleration using CUDA and TensorRT + Profile and optimize memory/power consumption for edge devices + Support embedded systems team with AI-specific hardware integration + Design distributed inference systems for degraded network conditions **Requirements** **Minimum Requirements:** **Primary Experience / Qualifications:** + 5+ years' experience in machine learning, AI, and data engineering + Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, JAX) + Experience with modern AI paradigms (transformers, diffusion models, neural ODEs) + Hands-on experience with LLM deployment and optimization (vLLM, TGI, llama.cpp) + Proficiency with data engineering tools (Apache Spark, Airflow, dbt, etc.) + Experience with both SQL and NoSQL databases at scale + Knowledge of vector databases and embedding systems (Pinecone, Weaviate, pgvector) + Experience with computer vision libraries (OpenCV, PIL) and video processing + Understanding of MLOps practices and model lifecycle management **Preferred Qualifications** + Experience with military/defense AI applications + Knowledge of agentic AI frameworks (LangChain, AutoGPT, CrewAI) + Familiarity with federated learning and edge-cloud hybrid architectures + Experience with business intelligence tools (Tableau, PowerBI, Grafana) + Knowledge of time-series analysis and anomaly detection + Experience with knowledge graphs and semantic reasoning + Understanding of explainable AI and model interpretability + Experience with MLOps platforms and tools (e.g., MLflow, Kubeflow, Weights & Biases) + Published research or patents in relevant areas **Education & Experience:** + Bachelor's degree in CS, EE, or related field; + Master's preferred **Clearance:** + Must be eligible for Secret security clearance **Other Qualifications:** + Must be a US citizen **Special Note** **What Makes You Successful Here** + You can build anything from a computer vision pipeline to a conversational AI assistant + You treat data engineering as seriously as model development + You understand the tradeoffs between cloud-scale and edge deployment + You can explain complex AI concepts to operators and executives alike + You see AI as a tool for augmenting human decision-making, not replacing it **Why Join MAG:** + Work on meaningful problems that directly impact national security + Small, elite team where your contributions matter immediately + Access to cutting-edge hardware and technologies + Rapid prototyping environment - see your ideas deployed in weeks + Direct interaction with end users and field deployments + Professional development and conference attendance support + Flexible work arrangements with occasional field exercises + Opportunity to shape the future of tactical edge computing **Company Policy** _MAG Aerospace (MAG) is an Equal Opportunity/Affirmative Action Employer and is committed to Diversity and Inclusion. We encourage diverse candidates to apply to our positions._ _All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status._ _Click below for the "EEO is The Law" and "Pay Transparency Nondiscrimination" supplement posters._ _******************************************* _MAG Aerospace (MAG) is committed to providing an online application process that is accessible to all, including individuals with a disability, by offering an alternative way to apply for job openings. This alternative method is available for those who cannot otherwise complete the online application due to a disability or need for accommodation._ _MAG provides reasonable accommodation to applicants under the guidance of the Americans with Disabilities Act (ADA), Section 503 of the Rehabilitation Act of 1973, the Vietnam-Era Veterans' Readjustment Assistance Act of 1974, and certain state and/or local laws._ _If you need assistance due to a disability, please contact the MAG Aerospace Recruiting email:_ _****************************_ _or call **************._ **Need help finding the right job?** We can recommend jobs specifically for you! **Job Locations** _VA-Fairfax_ **ID** _2025-7921_ **Work Region** _CONUS_ **Category** _Information Technology_ **Type** _Regular Full-Time_ **Clearance** _Ability to Obtain Secret_

Company Cox Communications, Inc. Job Family Group Engineering / Product Development Job Profile Lead Data Engineer Management Level Manager - Non People Leader Flexible Work Option Hybrid - Ability to work remotely part of the week Travel % No Work Shift CCI CORPORATE SERVICES LLC Lead Data Engineer Job Description: Lead Data Engineer positions offered by CCI Corporate Services LLC (Atlanta, GA). Exercise responsibility over technology solutions to support the performance, tracking and measurement of paid media and SEM. Build and maintain environments (in cloud platforms and on-prem), processes, functionalities, and tools to improve all stages of AdTech solution development, including proof of concepts, prototypes, and production. Define data requirements in collaboration with digital, marketing, and external teams. Automate manual processes into repeatable capabilities. Create and maintain containers to deploy AdTech applications in cloud-based and on-prem platforms. Engineer media data and online data transfers to and from Snowflake and Cox's Enterprise Data Warehouse using SQL, HighTouch and custom Python scripts. Develop and follow data engineering best practices with considerations for high data availability, computational efficiency, cost, and quality. Provide hands-on technical leadership in data engineering design and implementations including data ingestion, data models, data structures, data storage, high-throughput data processing, data pipelines, and data monitoring at scale. Evaluate and make recommendations on new technologies, tools, and data. Manage timelines and milestones for solution implementations, launches, and QA. Oversee third party data onboarding efforts with technology platforms. Provide guidance/mentorship to keep the team up to date on new technologies, standards and practices. Work closely with external consultants to develop and/or modify existing Python scripts for data ETL. Manage all direct database match efforts including list pulls and match rates by partners. Set up and manage prospect and customer lists. Re-target logic set up and maintenance across media partners and integration into Cox's Lead Gen system. Present opportunities and communicate insights to cross-functional teams, including senior leadership. Exercise responsibility over daily maintenance and set up of segment logic, definition of offline-to-online capabilities with segments, and integration with other AdTech data stacks. Minimum Requirements: Requires a bachelor's or foreign equivalent degree in Computer Science, Engineering, Business Analytics, or related field and 6 years of experience in the position offered or 6 years of experience programming with SQL, Python, R, AWS, Snowflake, Oracle or Microsoft DB programming language. Also requires 6 years of experience: utilizing data management platforms, 3rd party data onboarding solutions, and direct database data management synchronizations; working in data warehousing, data engineering, databases, AdTech, APIs and ETL; working with cloud vendors; functionally managing outside technology, vendors, and agency partners; utilizing tag management systems; working with ICOMS; integrating APIs in the telecommunications space; and communicating insights to cross-functional teams including senior leadership. In lieu of a bachelor's degree and 6 years of experience as stated, the employer will accept a master's or foreign equivalent degree in the aforementioned fields and 4 years of experience as stated, or a Ph.D. or foreign equivalent degree in the aforementioned fields and 1 year of experience as stated. Employee reports to office in Atlanta, GA. Position may work from home, but must live within commuting distance of stated office. Compensation includes a base salary of $134,227 - $181,400. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program. The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave. #GMREQ About Us Cox Communications is all about creating moments of real human connection; and for employees, that's true both in the workplace and in the problems we solve for customers. From building advertising solutions to unleashing IoT technologies to creating an exceptional experience for customers in our retail locations and online, we're creating a world that is smarter and more connected. Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page. Cox is an Equal Employment Opportunity employer - All qualified applicants/employees will receive consideration for employment without regard to that individual's age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Cox provides reasonable accommodations when requested by a qualified applicant or employee with disability, unless such accommodations would cause an undue hardship.

We are seeking a driven Data Scientist to join our Analytics team. In this role, you will work on high-impact projects that leverage machine learning, AI, and data engineering techniques focused on the Service Solutions and Commercial organization. This is an excellent opportunity for early-career professionals and will work closely with experienced data scientists and engineers who will mentor and guide your development. A passion for learning, a collaborative mindset, and a bias toward innovation are key to success in this role. Responsibilities * Support the development of predictive and prescriptive models using machine learning and statistical techniques to address key business problems in electrification and supply chain. * Assist in building data pipelines and workflows to ingest, clean, and prepare large datasets from various internal and external sources. * Collaborate on the development and deployment of analytics solutions using cloud platforms such as Databricks and Azure ML. * Develop clear and compelling data visualizations and dashboards to communicate insights to both technical and non-technical stakeholders. * Work within an agile team environment, contributing to code repositories, sprint planning, and solution documentation. * Stay up to date with emerging trends in data science, generative AI, and commercial mobility innovation. * Participate in innovation initiatives, brainstorming new ways to apply AI and analytics to improve operations and customer experience. Minimum Requirements * Currently pursuing a Bachelor's degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field and no experience and will obtain degree prior to first day of employment OR * Bachelor's degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field Additional Requirements * Qualified candidates, excluding current employees, must be legally authorized on an unrestricted basis (US Citizen, Legal Permanent Resident, Refugee or Asylee) to be employed in the United States. We do not anticipate providing employment related work sponsorship for this position (e.g., H-1B status) Desired Skills * Familiarity with SQL and working with structured data. * Exposure to cloud-based tools (e.g., Azure, AWS, GCP), particularly for data science or engineering tasks. * Understanding of key machine learning concepts such as classification, regression, clustering, or time series forecasting. * Strong interest in applying AI and analytics to solve real-world business problems. * Comfortable using data visualization tools such as Power BI, matplotlib, seaborn, or Streamlit. * Exposure to agile ways of working, including version control (Git) and working in cross-functional teams, is a plus. * A growth mindset and willingness to learn from feedback and challenges. Benefits and Compensation We provide a competitive total rewards package which ensures job satisfaction both on and off the job. We offer market-based compensation, health benefits, 401(k) match, tuition assistance, EAP, legal insurance, an employee discount program, and more. For this position, the expected salary range will be commensurate with the candidate's applicable skills, knowledge and experience. You can learn more about our comprehensive benefits package at ******************************************** Company Overview ABOUT TRATON With its brands Scania, MAN, International, and Volkswagen Truck & Bus, TRATON SE is the parent and holding company of the TRATON GROUP and one of the world's leading commercial vehicle manufacturers. The Group's product portfolio comprises trucks, buses, and light-duty commercial vehicles. "Transforming Transportation Together. For a sustainable world.": this intention underlines the Company's ambition to have a lasting and sustainable impact on the commercial vehicle business and on the Group's commercial growth. ABOUT INTERNATIONAL From a one-man company built on the world-changing invention of the McCormick reaper in 1831, to the 15,000-person-strong company we are today, few companies can lay claim to a history like International. Based in Lisle, Illinois, International Motors, LLC* creates solutions that deliver greater uptime and productivity to our customers throughout the full operation of our commercial vehicles. We build International trucks and engines and IC Bus school and commercial buses that are as tough and as smart as the people who drive them. We also develop Fleetrite aftermarket parts. In everything we do, our vision is to accelerate the impact of sustainable mobility to create the cleaner, safer world we all deserve. As of 2021, we joined Scania, MAN and Volkswagen Truck & Bus in TRATON GROUP, a global champion of the truck and transport services industry. To learn more, visit ********************** * International Motors, LLC is d/b/a International Motors USA in Illinois, Missouri, New Jersey, Ohio, Texas, and Utah. EEO Statement We are an Equal Opportunity Employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. If you are a qualified individual with a disability and require a reasonable accommodation to access the online application system or participate in the interview process due to your disability, please email ********************* to request assistance. Kindly specify Job Requisition Number / Job Title and Location in response. Otherwise, your request may not be considered.