Data engineer jobs in Edmond, OK

The Big Data Service team under Oracle Analytics has a charter is to offer a managed, cloud-native Big Data Service focused on large-scale data processing and analytics on unstructured data stored in data lakes, and management of the date in data lakes. The service work scope encompasses not just good integration with OCI's native infrastructure (security, cloud, storage, etc.) but also deep integration with other relevant cloud native services in OCI (like Oracle Kubernetes, Data Catalog, ADW, etc.). It includes doing cloud native ways of doing service level patching & upgrades and maintaining high availability of the service in the face of random failures & planned downtimes in the underlying infrastructure (e.g., for things like patching the Linux kernels to take care of a security vulnerability). Developing systems for monitoring and getting telemetry into the service's runtime characteristics and being able to take actions on the telemetry data is a part of the charter. ************************************************* We are interested in senior engineers with expertise and passion for solving difficult problems in distributed systems and highly available services. At Oracle, you can help, shape, design, and build innovative new systems from the ground up. These are exciting times in our space - we are growing fast, still at an early stage, and working on ambitious new initiatives. Engineers at any level can have significant technical and business impact. **Responsibilities** As Senior Big Data Platform Engineer, the responsibilities include the following. + Working on distributed data-intensive systems, often as part of open-source communities. + Taking ownership of critical parts of the cloud service, including shaping its direction. + Code, integrate, and operationalize open and closed source data ecosystem components for Oracle cloud service offerings. + Working with, and supporting customers/users of the Big Data Service + Design, develop, troubleshoot, and debug software programs for Big Data Service and related components + Optionally: Presenting work at conferences, meetups, or via articles. **Qualifications** + BS/MS in Computer Science or equivalent experience + Proven experience implementing, and operating large scale cloud services + Experience with open-source software in the Big Data ecosystem + Experience at an organization with a strong operational/dev-ops culture + Solid understanding of networking concepts, security principles, and best practices. + Strong analysis and troubleshooting skills and experience + Strong proficiency in Java and related technologies. Python experience is also desired. + Experience with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools for managing distributed systems + Familiarity with DevOps automation and tools for continuous integration, deployment, and monitoring (e.g., Terraform, Jenkins, GitLab CI/CD, Prometheus). + Excellent problem-solving skills, with the ability to troubleshoot complex issues and drive resolution in a fast-paced environment. + Strong communication skills, with the ability to work effectively in cross-functional teams. Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range in USD from: $79,200 to $178,100 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC3 **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data. You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale. This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to: + Design and develop models to extract entities, detect intents, and understand document structure + Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs + Evaluate model performance where ground truth is partial, uncertain, or evolving + Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out. **Qualifications** + 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models. + Proficiency with Python + Experience with the latest in language models (transformers, LLMs, etc.) + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow + Industry experience shepherding ML/AI projects from ideation to delivery + Demonstrated ability to influence company KPIs with AI + Demonstrated ability to navigate ambiguity **Bonus Experience** + Experience with document layout analysis (using vision, NLP, or both). + Experience with Spark/PySpark + Experience with Databricks + Experience in the healthcare industry **Responsibilities** + Play a key role in the success of our products by developing models for document understanding tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **After 3 Months, You Will...** + Have a strong grasp of technologies upon which our platform is built. + Be fully integrated into ongoing model development efforts with your team. **After 1 Year, You Will...** + Be independent in reading literature and doing research to develop models for new and existing products. + Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed. + Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. **Technology - Data and Decision Science - Data Engineering - Senior** We are seeking a highly skilled Senior Consultant Data Engineer with expertise in cloud data engineering, specifically Databricks. The ideal candidate will have strong client management and communication skills, along with a proven track record of successful end-to-end implementations in data engineering projects. **The opportunity** In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that technical requirements align with business needs. Your responsibilities will include creating scalable data architecture and modeling solutions that support the entire data asset lifecycle. **Your key responsibilities** As a Senior Data Engineer, you will play a pivotal role in transforming data into actionable insights. Your time will be spent on various responsibilities, including: + Designing, building, and operating scalable on-premises or cloud data architecture. + Analyzing business requirements and translating them into technical specifications. + Optimizing data flows for target data platform designs. + Design, develop, and implement data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP). + Collaborate with clients to understand their data needs and provide tailored solutions that meet their business objectives. + Lead end-to-end data pipeline development, including data ingestion, transformation, and storage. + Ensure data quality, integrity, and security throughout the data lifecycle. + Provide technical guidance and mentorship to junior data engineers and team members. + Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts. + Manage client relationships and expectations, ensuring high levels of satisfaction and engagement. + Stay updated with the latest trends and technologies in data engineering and cloud computing. This role offers the opportunity to work with cutting-edge technologies and stay ahead of industry trends, ensuring you gain a competitive advantage in the market. The position may require regular travel to meet with external clients. **Skills and attributes for success** To thrive in this role, you will need a blend of technical and interpersonal skills. Your ability to communicate effectively and build relationships will be crucial. Here are some key attributes we look for: + Strong analytical and decision-making skills. + Proficiency in cloud computing and data architecture design. + Experience in data integration and security. + Ability to manage complex problem-solving scenarios. **To qualify for the role, you must have** + A Bachelor's degree in Computer Science, Engineering, or a related field required (4-year degree). Master's degree preferred + Typically, no less than 2 - 4 years relevant experience in data engineering, with a focus on cloud data solutions. + 5+ years of experience in data engineering, with a focus on cloud data solutions. + Expertise in Databricks and experience with Spark for big data processing. + Proven experience in at least two end-to-end data engineering implementations, including: + Implementation of a data lake solution using Databricks, integrating various data sources, and enabling analytics for business intelligence. + Development of a real-time data processing pipeline using Databricks and cloud services, delivering insights for operational decision-making. + Strong programming skills in languages such as Python, Scala, or SQL. + Experience with data modeling, ETL processes, and data warehousing concepts. + Excellent problem-solving skills and the ability to work independently and as part of a team. + Strong communication and interpersonal skills, with a focus on client management. **Required Expertise for Senior Consulting Projects:** + **Strategic Thinking:** Ability to align data engineering solutions with business strategies and objectives. + **Project Management:** Experience in managing multiple projects simultaneously, ensuring timely delivery and adherence to project scope. + **Stakeholder Engagement:** Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively. + **Change Management:** Skills in guiding clients through change processes related to data transformation and technology adoption. + **Risk Management:** Ability to identify potential risks in data projects and develop mitigation strategies. + **Technical Leadership:** Experience in leading technical discussions and making architectural decisions that impact project outcomes. + **Documentation and Reporting:** Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients. **Ideally, you'll also have** + Experience with data quality management. + Familiarity with semantic layers in data architecture. + Familiarity with cloud platforms (AWS, Azure, GCP) and their data services. + Knowledge of data governance and compliance standards. + Experience with machine learning frameworks and tools. **What we look for** We seek individuals who are not only technically proficient but also possess the qualities of top performers. You should be adaptable, collaborative, and driven by a desire to achieve excellence in every project you undertake. FY26NATAID **What we offer you** At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $106,900 to $176,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $128,400 to $200,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. **Are you ready to shape your future with confidence? Apply today.** EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. **EY | Building a better working world** EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. **POSITION SUMMARY** We are seeking a highly skilled and experienced Senior Privacy Engineer to join our Data Protection team. The Privacy Engineer will be responsible for embedding privacy by design principles into our systems and data-handling processes. This role requires a strong technical background combined with a deep understanding of privacy regulations. The successful candidate will design, build, and maintain the technical controls that protect personal data and ensure the company's continuous compliance. **_What we expect of you -_** + Act as the technical subject matter expert on privacy, guiding product and engineering teams from the initial design phase through launch to ensure new features and systems are built with privacy controls integrated. + Design and implement privacy-enhancing technologies (PETs), such as data anonymization, pseudonymization, encryption, masking, and differential privacy techniques. + Conduct privacy threat modeling, data flow analysis, technical reviews and Privacy Impact Assessments (PIAs) on systems, architecture, and code to identify and mitigate privacy risks, system vulnerabilities, and regulatory compliance gaps. + Build, maintain, and integrate internal tools for privacy automation, such as automated data discovery, classification, consent management, and policy enforcement across our technology stack. + Work with application and data engineering teams to enforce privacy requirements throughout the entire data lifecycle, including data collection, storage, processing, access, retention, and deletion. + Collaborate with engineering, product, legal, and compliance teams to translate privacy and regulatory requirements (e.g., GDPR, CCPA, HIPAA) into technical designs, policies, and guardrails. + Monitor and research new privacy-enhancing technologies, evolving global regulations, and industry best practices. + Evaluate, prototype, and operationalize advanced privacy technologies (e.g. synthetic data, privacy-preserving analytics, homomorphic encryption, secure multiparty computation). + Provide mentorship and guidance to other engineers on privacy-aware development practices, secure coding, and data lifecycle protection. **REQUIRED QUALIFICATIONS** + 5+ years of hands-on experience in security engineering, privacy engineering, privacy enhancing technologies or related fields. + 5+ years of experience with privacy and data protection regulations (GDPR, CCPA, HIPAA, etc.) and translating them into technical requirements. + 3+ years of experience in one or more programming or scripting languages (e.g. Python, Java, Go, Rust, or similar). + 3+ years of experience in designing and implementing cryptographic or data protection systems (e.g. encryption, tokenization, key management). + 3+ years of experience in performing privacy threat modeling, data flow mapping, and conducting DPIAs/PIAs. + 3+ years of experience in working in CI/CD environments, Infrastructure as Code (IaC), and automating security/privacy checks. **PREFERRED QUALIFICATIONS** + Professional Certifications such as CDPSE, CIPP, CIPT, CIPM, CISSP, or equivalent. + Experience building and scaling privacy platforms or features in a fast-paced environment. + Familiarity with Data Loss Prevention (DLP) systems and data mapping tools. + Familiarity with cloud platforms (AWS, Azure, GCP) and various data technologies (SQL, NoSQL databases, data lakes, etc.). + Excellent communication and ability to explain complex technical and legal concepts to diverse audiences. + Experience in healthcare, insurance, or highly regulated industries. **EDUCATION** Bachelor's degree or equivalent experience (High School Diploma and 4 years relevant experience). **BUSINESS OVERVIEW** Bring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand - with heart at its center - our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities. **Anticipated Weekly Hours** 40 **Time Type** Full time **Pay Range** The typical pay range for this role is: $83,430.00 - $222,480.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. **Great benefits for great people** We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: + **Affordable medical plan options,** a **401(k) plan** (including matching company contributions), and an **employee stock purchase plan** . + **No-cost programs for all colleagues** including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. + **Benefit solutions that address the different needs and preferences of our colleagues** including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit ***************************************** We anticipate the application window for this opening will close on: 12/31/2025 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

*****CANDIDATE MUST BE US Citizen (due to contractual/access requirements)***** available within the U.S.** In this role, you will be a key contributor to our data infrastructure, responsible for the design, development, and maintenance of efficient, reliable, and high-quality data flow and storage. Your expertise will drive real-time data ingestion and transformation processes, structuring data from diverse sources using Cloud platforms (Azure, GCP, AWS), Databases (BigQuery, Azure Data Explorer), and streaming technologies like Cribl, Kafka, and Azure Event Hubs. A primary responsibility will be creating impactful visualizations and dashboards for internal and enterprise reporting, leveraging tools like Power BI and Tableau to translate business needs into actionable insights. This role requires strong proficiency in scripting/query languages (KQL, SQL, Python, JavaScript) and strong skills in building and optimizing data pipelines, ensuring data quality and integrity throughout the data lifecycle. **ESSENTIAL RESPONSIBILITIES** + Design, develop, and maintain robust data processes and solutions to ensure the efficient movement and transformation of data across multiple systems + Develop and maintain data models, databases, and data warehouses to support business intelligence and analytics needs + Collaborate with stakeholders across IT, product, analytics, and business teams to gather requirements and provide data solutions that meet organizational needs + Monitor work against production schedule,provide progress updates, and report any issues or technical difficulties to lead developers regularly + Implement and manage data governance practices, ensuring data quality, integrity, and compliance with relevant regulations. + Collaborate on the design and implementation of data security measures, including access controls, encryption, and data masking + Mentor other associate and intermediate data engineers as needed + Perform data analysis and provide insights to support decision-making across various departments + Stay current with industry trends and emerging technologies in data engineering, recommending new tools and best practices as needed + Other duties as assigned or requested. **EXPERIENCE** **Required** + 5 years of experience in design and analysis of algorithms, data structures, and design patterns in the building and deploying of scalable, highly available systems + 5 years of experience in a data engineering, ETL development, or data management role. + 5 years of experience in SQL and experience with database technologies (e.g., MySQL, PostgreSQL, MongoDB). + 5 years of experience in data warehousing concepts and experience with data warehouse solutions (e.g., Snowflake, Redshift, BigQuery) **Preferred** + 7 years of experience with data pipeline and workflow management tools (e.g., Apache Airflow, AWS Glue, Azure Data Factory). + 7 years of experience defining system architectures and exploring technical feasibility trade-offs for optimizing short term execution while planning for long term technical capabilities + 7 years of experience working with a variety of technology systems, designing solutions or developing data solutions in healthcare + 7 years of experience with cloud platforms (AWS, Azure, GCP) and their respective data services + 7 years of experience in data governance, data quality, and data security best practices + 7 years of experience translating requirements, design mockups, prototypes or user stories into technical designs + 7 years of experience in producing data-related code that is fault-tolerant, efficient, and maintainable + 7 years of experience structuring and transforming data from multiple source systems. + 7 years of experience creating data visualizations and dashboards using Power BI or Tableau for internal and external audiences. + 7 years of experience using Cribl as a steaming and transformation solution. **SKILLS** + Demonstrated ability to achieve stretch goals in a highly innovative and fast-paced environment + Adaptability: Strong ability to take on diverse tasks and projects, adapting to the evolving needs of the organization + Analytical Thinking: Strong analytical skills with a focus on detail and accuracy + Interest and ability to learn other data development technologies/languages as needed + Technical Proficiency: Comfortable with a range of data tools and technologies, with a willingness to learn new skills as needed + Strong track record in designing and implementing large-scale data sources + Strong sense of ownership, urgency, and drive + Demonstrated passion for user experience and improving usability + Team Collaboration: A team player who can work effectively in cross-functional environments + Experience and willingness to mentor junior data engineers and help develop their skills and leadership **EDUCATION** **Required** + Bachelor's degree in Computer Science, Information Systems, Data Science, Computer Engineering or related field **Preferred** + Master's degree in Computer Science, Information Systems, Data Science, Computer Engineering or related field **LICENSES or CERTIFICATIONS** **Required** + None **Preferred** + None **Language (Other than English):** None **Travel Requirement:** 0% - 25% **PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS** **Position Type** Office- or Remote-based Teaches / trains others Occasionally Travel from the office to various work sites or from site-to-site Rarely Works primarily out-of-the office selling products/services (sales employees) Never Physical work site required No Lifting: up to 10 pounds Constantly Lifting: 10 to 25 pounds Occasionally Lifting: 25 to 50 pounds Rarely **_Disclaimer:_** _The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job._ **_Compliance Requirement_** _: This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies._ _As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company's Handbook of Privacy Policies and Practices and Information Security Policy._ _Furthermore, it is every employee's responsibility to comply with the company's Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements._ **Pay Range Minimum:** $78,900.00 **Pay Range Maximum:** $147,500.00 _Base pay is determined by a variety of factors including a candidate's qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets._ Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law. We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact the email below. For accommodation requests, please contact HR Services Online at ***************************** California Consumer Privacy Act Employees, Contractors, and Applicants Notice Req ID: J273322

At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. We are Boeing Global Services (BGS) Engineering team creating and implementing innovative technologies that make the impossible possible and enabling the future of aerospace. We provide engineering design and support, including aftermarket modifications, and are innovating to make product and services safety even stronger. Join us and put your passion, determination, and skill to work building the future! #TheFutureIsBuiltHere #ChangeTheWorld Join an exciting and growing team in performing complex analysis of aviation data. As modern aircraft produce increasing amounts of data in operations and maintenance, analytics are used to turn that data into insights to improve performance, enable smarter services, increase productivity, and make flying safer. The Boeing Company is currently seeking an Experienced/Lead Engineering Data Scientist to join the Boeing Global Services (BGS) Government Services Analytics team located in Hazelwood, MO, Colorado Springs, CO, or Oklahoma City, OK. In this position you will work with an industry-leading team of data scientists, support US and international customers, and collaborate with engineering teams to create innovative health management solutions for government aircraft platforms. As an experienced/lead data scientist, you will play a crucial role in creating new analytics models that provide aftermarket services for our military customers. Your primary responsibility will be leading the design and development of machine learning models using a wide array of methods to empower aircraft users with valuable insights. This role requires a resourceful, self-driven, outcome-oriented individual with the ability to collaborate respectfully and communicate effectively. The ideal candidate will have advanced knowledge and work history in machine learning, natural language processing (NLP), and retrieval augmented generation (RAG), proven experience in leading data science projects, and a successful track record of deploying machine learning models in a production environment. This position is onsite. The selected candidate will be required to perform work onsite at one of the listed location options. Position Responsibilities: * Lead the design and development of advanced machine learning models and algorithms to solve complex problems as aftermarket services for military customers. * Collaborate with cross-functional teams to identify and define data requirements, data collection methods, and data quality standards. * Conduct data analysis and exploration to identify patterns, trends, and insights that drive decision-making and improve aircraft health management. * Apply advanced statistical techniques and predictive modeling to develop predictive maintenance strategies and optimize aircraft performance. * Utilize natural language processing, data cleansing, and preprocessing techniques to ensure data quality and integrity for accurate analysis and modeling. * Evaluate and apply modern RAG techniques to generate domain-specific insights from complex customer data, enhancing decision-making and user experience. * Implement and deploy machine learning models into production systems, working closely with software engineering teams to integrate into customer environments. * Collaborate with subject matter experts to understand engineering domain knowledge and incorporate it into data analysis and modeling efforts. * Continuously evaluate and improve existing models and algorithms to enhance their accuracy, efficiency, and scalability. * Ensure data security, privacy, and compliance with relevant regulations and policies throughout the data analysis lifecycle. * Stay up-to-date with the latest advancements in data science, machine learning, and aerospace technologies to drive innovation and maintain a competitive edge. * Communicate findings, insights, and recommendations to technical and non-technical stakeholders through clear and concise reports, presentations, and visualizations. * Mentor and provide guidance to junior data scientists and contribute to the development of best practices and standards for data science within the organization. This position requires the ability to obtain a SECRETUS Security Clearance Post-Start for which the US Government requires US Citizenship. To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Our teams are currently searching for a broad range of levels including Experienced and Lead. Basic Qualifications (Required Skills/Experience): * Bachelor's degree from an accredited course of study in Mathematics, Data Science, Computer Science, Engineering, Physics or similar discipline * 5+ years of professional experience in data science, artificial intelligence, or machine learning * 5+ years of experience in Python for data science applications * Experience leading technical teams or projects Preferred Qualifications (Desired Skills/Experience): * Advanced degree (Master's or Doctorate) in Data Science, Engineering, Computer Science, Mathematics, or another similar technical background * 10+ years of professional experience in data science, artificial intelligence, or machine learning * 3+ years of experience in natural language processing * 3+ years of experience in SQL * Proficient with data visualization tools, such as Tableau. * Proficient in deep learning frameworks such as PyTorch and TensorFlow * Experience with generative AI models, including LLMs and RAG, for building knowledge-driven solutions. * Engineering domain knowledge relating to aircraft maintenance, design, or testing * Experience integrating models into customer environments, both on-prem and in cloud environments * Experience working in an agile software development team Relocation: This position offers relocation assistance. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. All information provided will be checked and may be verified. Shift: This position is for 1st shift. At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: Experienced: $106,250 - $154,100 Lead: $124,100 - $180,550 Export Control Requirements: U.S. Government Export Control Status: This position must meet export control compliance requirements. To meet export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. Applications for this position will be accepted until Dec. 23, 2025 Export Control Requirements: This position must meet export control compliance requirements. To meet export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. Read more Shows the full job description for sighted users Apply Now Save JobRemove Job

Home (***************************** »Job Details **Data Architect** Information Technology (************************************************************ Technology) Language English Apply Now (*********************************************************************************************************** **Summary** We're Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled. The global technology and services leader that powers the world's best brands, today and into the future. We're solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we're the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent. The Concentrix Technical Products and Services team is the driving force behind Concentrix's transformation, data, and technology services. We integrate world-class digital engineering, creativity, and a deep understanding of human behavior to find and unlock value through tech-powered and intelligence-fueled experiences. We combine human-centered design, powerful data, and strong tech to accelerate transformation at scale. You will be surrounded by the best in the world providing market leading technology and insights to modernize and simplify the customer experience. Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients. Hence achieving our vision. Our game-changers around the world have devoted their careers to ensuring every relationship is exceptional. And we're proud to be recognized with awards such as "World's Best Workplaces," "Best Companies for Career Growth," and "Best Company Culture," year after year. Join us and be part of this journey towards greater opportunities and brighter futures. **Description** **Data Architect** **Job Location:** USA, East Coast (or) Remote - willing to work in EST timings **Job Summary:** We are seeking an experienced Data Architect to design and build the unified data model supporting our Operational Data Store (ODS) initiative. This is a working architect role requiring both strategic data modeling expertise and hands-on technical execution. The ideal candidate will bridge domain-level data ownership (Data Mesh principles) with enterprise-wide integration (Data Fabric patterns), creating a unified data layer that respects source system context while enabling cross-domain analytics and operations. This role requires someone who can define the architectural vision while personally building data models, writing transformation logic, and validating implementations against source systems. This is a remote, work at home opportunity in the US. **Key Responsibilities:** + Design and build the unified data model for the Operational Data Store, balancing domain-specific context with enterprise integration requirements. + Define the architectural approach for federating domain data products into a cohesive enterprise data layer without creating monolithic dependencies. + Develop data transformation specifications, mapping rules, and working examples that preserve domain semantics while enabling cross-domain consistency. + Establish canonical data models that integrate across domain boundaries while respecting source system ownership and business context. + Perform source system analysis, data profiling, and gap assessments to understand domain data products and their integration requirements. + Write and validate SQL queries, transformation logic, and data quality rules to prove out architectural decisions before handoff. + Define system of record ownership across domains and maintain accurate data lineage documentation for federated data sources. + Design integration patterns that allow domains to evolve independently while maintaining enterprise data consistency. + Collaborate directly with Data Engineers during implementation, troubleshooting data quality issues and refining transformation logic. + Partner with domain stakeholders and enterprise architects to align domain data products with cross-domain analytics and operational needs. + Establish federated data governance standards that balance domain autonomy with enterprise consistency requirements. + Conduct architecture reviews focusing on data integrity, performance optimization, and scalability of the ODS. + Ensure compliance with data privacy regulations, security standards, and audit requirements in financial services. + Stay current with industry trends in Data Mesh, Data Fabric, and regulatory changes in the FinTech sector. **Required Qualifications:** + Bachelor's or master's degree in computer science, Information Systems, Data Science, or related field. + 10+ years of experience in data management with at least 5+ years in data architecture roles. + Strong understanding of Data Mesh principles (domain ownership, data as product, federated governance) and Data Fabric concepts (unified access, integration layer, cross-domain visibility). + Proven expertise in logical and physical data modeling using tools such as ERwin, PowerDesigner, or similar. + Experience designing canonical data models that integrate multiple domain data sources while preserving business context. + Strong hands-on SQL skills with ability to write complex queries for data profiling, validation, and transformation. + Experience building Operational Data Stores, data warehouses, or enterprise data hubs with multiple source system integrations. + Demonstrated ability to perform data profiling, source system analysis, and data quality assessments independently. + Hands-on experience developing data transformation specifications and mapping documentation that engineers can implement. + Working knowledge of ETL/ELT patterns and data pipeline architecture. + Familiarity with event streaming platforms (Kafka, Kinesis) for real time data ingestion scenarios. + Solid understanding of data governance, metadata management, and data lineage practices. **Preferred Qualifications:** + Demonstrates judgment and flexibility - positively deals with shifting priorities and rapid change of environments. + Experience in financial services, insurance, or large scale enterprise data platforms. + Experience implementing Data Mesh architectures or federated data governance models. + Proficiency with Python or similar scripting language for data analysis and validation. + Familiarity with cloud data services (AWS Glue, Azure Data Factory, Snowflake, Databricks). + Knowledge of data catalog and lineage tools (Collibra, Alation, Apache Atlas). + Exposure to domain-driven design principles applied to data architecture. + Understanding of regulatory requirements (SOX, GDPR, CCPA) as they apply to data management. + Experience mentoring Data Engineers and establishing team technical standards. At Concentrix, we provide customer experience solutions that may involve handling sensitive data. As part of our hiring process, all candidates must undergo a background check in accordance with applicable law, which will include identity verification and employment eligibility. The base salary for this position is $106,087-$197,020 , plus incentives that align with individual and company performance. Actual salaries will vary based on work location, qualifications, skills, education, experience, and competencies. Benefits available to eligible employees in this role include medical, dental, and vision insurance, comprehensive employee assistance program, 401(k) retirement plan, paid time off and holidays and paid learning days. The deadline to apply for this position is: 12/15/2025 \#LI-Remote \#Remote

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00

Job Details Experienced Oklahoma City Office - Oklahoma City, OK Full Time 4 Year Degree NoneDescription The Company Founded in 2006, Revenue Management Solutions has a bold mission to change the healthcare technology landscape by delivering innovative solutions to help solve the complex challenges facing our customers. Our pursuit of this mission is the driving force that brings us to work each day. We believe in embracing new ideas, challenging ourselves and failing forward. We have assembled a team and created a culture where we respect and celebrate individual talents and team wins. With 15+ years in the business of Healthcare Remittance Processing, RMS has continued to advance the Healthcare Revenue Cycle with automated solutions that have put us at the top of our field. If you are looking to join a team where your work can be personally and professionally rewarding, don't just join a company with a mission. Join a mission with a company behind it. We offer top health, dental, vision and 401k benefits Location Revenue Management Solutions, LLC is based in Oklahoma City, Oklahoma. Oklahoma City is a great place to live because it offers affordable living, limited traffic, and wonderful people. Key Responsibilities and Qualifications Job Description The Data Scientist will apply statistical theory and methods to collect, interpret, and summarize data as well as make predictions and recommend actions based on data. Key Responsibilities Conducts statistical analyses to develop strategies Builds predictive models and machine-learning algorithms Identifies data patterns and trends Proposes solutions and strategies to business challenges Presents information using data visualization techniques Documents all processes and research Other duties and responsibilities as assigned Qualifications Excellent verbal and written communication skills Excellent organizational skills and attention to detail Able to multitask, prioritize, and manage time effectively Strong math skills Problem-solving aptitude Education/Experience Bachelor's degree in computer science, statistics, applied math or related field required. Master's degree preferred Extensive background in data mining and statistical analysis At least two years' experience with SQL and statistical software packages (Python, R, SAS) required Experience using business intelligence tools and data frameworks Physical Requirements While performing the duties of this Job, the employee is regularly required to communicate verbally and in the written form. The employee is physically required to utilize a laptop and other electronic devices effectively. The employee must lift and/or move up to 20 pounds (laptop computer, bag, and accessories). Specific vision abilities required by this job include close vision and distance vision. Why Should You Apply? Great benefits Work-life Balance Exciting atmosphere Industry leading technology All candidates are subject to background and drug screens per company policy

Benefits: * Fuel Your Growth with Love's - company funded tuition assistance * Paid Time Off * 401(k) - 100% Match up to 5% * Medical/Dental/Vision Insurance after 30 days * Competitive Pay * Career Development * *Applicants must be legally authorized to work in the United States. We do not provide sponsorship for employment visas now or in the future.* Welcome to Love's: The Lead Data Scientist is a hands-on analytics leader responsible for advancing marketing and customer analytics across Love's convenience store network. This role blends deep technical expertise with people leadership, owning high-impact analytical initiatives that influence revenue growth, customer experience, and marketing effectiveness. Job Functions: Develop deep understanding of Love's business, including products, strategy, customers, and performance, and guide your team in aligning analytics initiatives with business priorities Collaborate with Marketing and other business units to understand needs and design analytical approaches, then lead your team in implementing advanced analytics and machine learning solutions for key domains such as marketing and operations to deliver actionable insights Contribute to the development of enterprise-wide analytics strategy and roadmap, representing the team's perspective Utilize statistical programming languages (R, Python, SAS) to manipulate data and extract insights from large datasets, ensuring team members follow best practices Apply advanced statistical techniques (e.g., A/B testing) and machine learning methods (e.g., time series forecasting, clustering) to solve business problems Supervise and develop a team of data scientists, analysts, and/or analytics engineers by setting goals, managing performance, providing feedback, and fostering a collaborative, high-performing environment Promote best practices in data science methodologies, modeling, experimentation, documentation, and model governance across the team Prioritize team workload and manage delivery timelines in alignment with strategic objectives Identify gaps in measurement and data solutions and lead efforts to recommend and implement improvements that maximize analytics impact Communicate complex insights clearly to stakeholders through presentations, reports, and visualizations, coaching team members on effective storytelling Partner with data engineering to ensure scalable and robust data infrastructure that supports team objectives Stay current with industry trends and emerging tools, introducing innovative techniques into the team's practice Experience and Qualifications: BA/BS minimum, Masters preferred, in a relevant field, such as business analytics, mathematics, statistics, finance, economics, management information systems, computer science, engineering or other quantitative fields. 6+ years of experience preferred in retail, sales, marketing, data, IT, or operations with exposure to reporting and analytics In-depth, hands-on knowledge of data science tools preferred Proven experience with troubleshooting principles and issue resolution technique Skills and Physical Demands: 6+ years of experience querying data from relational databases using SQL, using advanced algorithms, programming languages, or technologies in the development of technical analytics solutions or capabilities, and extracting insights from large databases, translating data and insights into actionable solutions and presenting findings Competency using R, Python, or other similar statistical software to develop analytical solutions Experience with data wrangling, data cleaning and prep Proven ability to juggle multiple workstreams as needed Data modelling and business analytics experience especially within the retail or marketing domain Excel proficiency including simple formulas and pivot tables Understanding of data warehouse principles and database structures Data visualization skills and ability to present technical solutions to non-technical audience 1+ years of experience with mentoring or leading analytical projects Natural curiosity that welcomes and embraces change and willingness to try new things Excellent written, oral and interpersonal skills Ability to devise an analytical approach to solving business problems Capacity to explain and simplify complex analytics for a wide range of audiences Work effectively within a team-oriented and collaborative environment Keen attention to detail Highly motivated self-starter Must be authorized to work in the U.S. without sponsorship Our Culture: Fueling customers' journeys since 1964, innovation leads the way for this family-owned and operated business headquartered in Oklahoma City. With nearly 40,000 team members, travel stops are the core business along with products and services that provide value for professional drivers, fleets, traveling public, RVers, alternative energy and wholesale fuel customers. Giving back to communities and an inclusive workplace are hallmarks of the award-winning culture. Love's is an Equal Opportunity Employer. Veterans encouraged to apply. Job Category: Corporate

Responsible for department data analytics, collecting large amounts of data, interpreting data, aiding in departmental data issues, and other data-driven initiatives for the department. * Meets with team members regarding projects * Collects and interprets data and aid in all department data needs * Automates and integrates processes * Develops processes for formulation of data-driven solutions for improvements * Develops complex models that integrate business rules and requirements * Creates machine learning models * Communicates and meets with teams and interested parties * Shares complex ideas verbally and visually in an understandable manner with non-technical stakeholders * Performs other duties as needed to successfully fulfill the functions of the position. Required Education: Bachelor's degree in related field, AND: * 48 months experience in Data Science, Predictive, or Advanced Analytics or related experience. Equivalency/Substitution: Will accept 48 months of experience in lieu of the Bachelor's degree for a total of 96 months of related experience. Skills: * Ability to use data visualization tools * Advanced knowledge of data querying languages, and statistical or mathematical software * Advanced knowledge in writing algorithms, and knowing when to apply them * Ability to understand statistics, multi-variable calculus, and linear algebra * Ability to communicate verbally and in writing * Ability to lead other employees Certifications: None Working Conditions: * Physical: * Sits for prolonged periods of time. * Ability to engage in repetitive motion. * Manual dexterity. * Communicate effectively. * Environmental: * Standard Office Work Environment. Departmental Preferences: * Experience with data visualization tools (Tableau, Power BI, etc.). * Knowledge of machine learning or predictive modeling techniques in a healthcare context. * Familiarity with quality improvement methodologies (e.g., Six Sigma, Lean). * Prior experience supporting grant-funded clinical research or academic medical centers * Master of Science degree in Data Science, Biostatistics, Epidemiology, Health Informatics, or other related field. Why You Belong at the University of Oklahoma: The University of Oklahoma values our community's unique talents, perspectives, and experiences. At OU, we aspire to harness our innovation, creativity, and collaboration for the advancement of people everywhere. You Belong Here! Equal Employment Opportunity Statement: The University, in compliance with all applicable federal and state laws and regulations, does not discriminate on the basis of race, color, national origin, sex, sexual orientation, marital status, genetic information, gender identity/expression (consistent with applicable law), age (40 or older), religion, disability, political beliefs, or status as a veteran in any of its policies, practices, or procedures. This includes but is not limited to admissions, employment, housing, financial aid, and educational services.

**A Day in the Life:** We are seeking a talented **Sr Data Engineer, Palantir (experience required)** to join our Strategic Data & Analytics team working on Hertz's strategic applications and initiatives. This role will work in multi-disciplinary teams rapidly building high-value products that directly impact our financial performance and customer experience. You'll build cloud-native, large-scale, employee facing software using modern technologies including React, Python, Java, AWS, and Palantir Foundry. The ideal candidate will have strong development skills across the full stack, a growth mindset, and a passion for building software at a sustainable pace in a highly productive engineering culture. Experience with Palantir Foundry is highly preferred but not required - we're looking for engineers who are eager to learn and committed to engineering excellence. We expect the starting salary to be around $135k but will be commensurate with experience. **What You'll Do:** Day-to-Day Responsibilities + Work in balanced teams consisting of Product Managers, Product Designers, and engineers + Test first - We strive for Test-Driven Development (TDD) for all production code + CI (Continuous Integration) everything - Automation is core to our development process + Architect user-facing interfaces and design functions that help users visualize and interact with their data + Contribute to both frontend and backend codebases to enhance and develop projects + Build software at a sustainable pace to ensure longevity, reliability, and higher quality output Frontend Development + Design and develop responsive, intuitive user interfaces using React and modern JavaScript/TypeScript + Build reusable component libraries and implement best practices for frontend architecture + Generate UX/UI designs (no dedicated UX/UI designers on team) with considerations for usability and efficiency + Optimize applications for maximum speed, scalability, and accessibility + Develop large-scale, web and mobile software utilizing appropriate technologies for use by our employees Backend Development + Develop and maintain RESTful APIs and backend services using Python or Java + Design and implement data models and database schemas + Deploy to cloud environments (primarily AWS) + Integrate with third-party services and APIs + Write clean, maintainable, and well-documented code Palantir Foundry Development (Highly Preferred) + Build custom applications and integrations within the Palantir Foundry platform + Develop Ontology-based applications leveraging object types, link types, and actions + Create data pipelines and transformations using Python transforms + Implement custom widgets and user experiences using the Foundry SDK + Design and build functions that assist users to visualize and interact with their data Product Development & Delivery + Research problems and break them into deliverable parts + Work with a Lean mindset and deliver value quickly + Participate in all stages of the product development and deployment lifecycle + Conduct code reviews and provide constructive feedback to team members + Work with product managers and stakeholders to define requirements and deliverables + Contribute to architectural decisions and technical documentation **What We're Looking For:** + Experience with Palantir Foundry platform, required + 5+ years in web front-end or mobile development + Bachelor's or Master's degree in Computer Science or other related field, preferred + Strong proficiency in React, JavaScript/TypeScript, HTML, and CSS for web front-end development + Strong knowledge of one or more Object Oriented Programming or Functional Programming languages such as JavaScript, Typescript, Java, Python, or Kotlin + Experience with RESTful API design and development + Experience deploying to cloud environments (AWS preferred) + Understanding of version control systems, particularly GitHub + Experience with relational and/or NoSQL databases + Familiarity with modern frontend build tools and package managers (e.g., Webpack, npm, yarn) + Experience with React, including React Native for mobile app development, preferred + Experience in Android or iOS development, preferred + Experience with data visualization libraries (e.g., D3.js, Plotly, Chart.js), preferred + Familiarity with CI/CD pipelines and DevOps practices, preferred + Experience with Spring framework, preferred + Working knowledge of Lean, User Centered Design, and Agile methodologies + Strong communication skills and ability to collaborate effectively across teams + Growth mindset - Aptitude and willingness to learn new technologies + Empathy - Kindness and empathy when building software for end users + Pride - Takes pride in engineering excellence and quality craftsmanship + Customer obsession - Obsessed with the end user experience of products + Strong problem-solving skills and attention to detail + Ability to work independently and as part of a balanced, multi-disciplinary team + Self-motivated with a passion for continuous learning and improvement **What You'll Get:** + Up to 40% off the base rate of any standard Hertz Rental + Paid Time Off + Medical, Dental & Vision plan options + Retirement programs, including 401(k) employer matching + Paid Parental Leave & Adoption Assistance + Employee Assistance Program for employees & family + Educational Reimbursement & Discounts + Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness + Perks & Discounts -Theme Park Tickets, Gym Discounts & more The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world. **US EEO STATEMENT** At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company. Individuals are encouraged to apply for positions because of the characteristics that make them unique. EOE, including disability/veteran

**Employment Type:** FullTime Remote **Department** Finance & Operations, Data **Compensation:** $160.1K - $188.1K - Offers Equity _At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click_ here (****************************** _._ **Overview** We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. **About the Role:** As a Marketing Data Scientist at Confluent, you will be a key player in analyzing lead funnel efficiency, marketing measurement and pipeline management. In this role, you will collaborate with Marketing, Growth, Sales & Finance stakeholders. Your focus will include data exploration, conducting in-depth analyses, and generating actionable insights to optimize and sustain healthy marketing funnel. **What You Will Do:** + Identify high-impact opportunities through data exploration, and generate strategic insights by collaborating with cross-functional teams, contributing to improvement amongst top of the funnel conversion metrics. + Define marketing metrics to measure success, develop scalable reporting to monitor the health of our pipeline, and analyze drivers for company KPIs + Share actionable insights and recommendations with leadership at various levels, playing a pivotal role in determining marketing campaign and pipeline strategy + Design and execute A/B tests to measure the impact of product features and launches, providing insights that guide iterative improvements. + Provide deep understanding of customer journey phases, from awareness to conversion with expertise in analyzing metrics like ROI, CLTV etc. to identify opportunities for growth and optimization + Collaborate with other data scientists across our organization to share best practices, learn new analytical techniques, and champion an organizational culture where data is central to decision making **What You Will Bring:** + 3+ years of experience in Data Science supporting a marketing function, preferably at a B2B SaaS company + Strong proficiency in data manipulation, especially using SQL (3+ years of experience) and a scripting language (Python/R) + Proficiency in data visualization and building dashboards with tools such as Tableau + Excellent communication skills, and ability to collaborate effectively with technical and non-technical stakeholders + Experience with marketing attribution models across a variety of channels (SEO, Paid Search, Social, etc.) and A/B testing frameworks + Exceptional problem solving skills and detail-oriented mindset + Bachelor or advanced degree in a quantitative discipline: computer science, engineering, statistics, economics, etc. **What Gives You an Edge:** + Familiarity with lead funnel, marketing attribution models, and marketing measurement using causal inference and other advanced analytical methods. + Understanding of the B2B Marketing Stack, Salesforce objects **Ready to build what's next? Let's get in motion.** **Come As You Are** Belonging isn't a perk here. It's the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what's possible. We're proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law.

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team. KPMG is currently seeking a Manager of Data Engineering to join our Digital Nexus technology organization. This is a hybrid work opportunity. Responsibilities: * Lead a team of Azure Data Lake and business intelligence engineers in designing and delivering ADL Pipelines, Notebooks and interactive Power BI dashboards that clearly communicate actionable insights to stakeholders; contribute strategic thought leadership to shape the firm's business intelligence vision and standards * Design and maintain scalable data pipelines using Azure Data Factory and Databricks to ingest, transform, and deliver data across medallion architecture layers; develop production-grade ETL/ELT solutions using PySpark and SQL to produce analytics-ready Delta Lake datasets aligned with enterprise standards * Apply critical thinking and creativity to design innovative, non-standard BI solutions that address complex and evolving business challenges; design, build, and optimize data models to support analytics, ensuring accuracy, reliability, and efficiency * Stay ahead of emerging technologies including Generative AI and AI agents to identify novel opportunities that improve analytics, automation, and decision-making across the enterprise * Manage and provide technical expertise and strategic guidance to counselees (direct reports), department peers, and cross-functional team members; set goals, participate in strategic initiatives for the team, and foster the development of high-performance teams * Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications: * Minimum seven years of recent experience designing and building ADL Pipelines and Data bricks notebooks and interactive dashboards using modern business intelligence tools (preferably Power BI); minimum two years of recent experience designing scalable data pipelines using Azure Data Factory and Azure Databricks to support ingestion, transformation, and delivery of data across medallion architecture layers * Bachelor's degree from an accredited college or university is preferred; minimum of a high school diploma or GED is required * Demonstrated analytical and problem-solving abilities, with a creative and methodical approach to addressing complex challenges * Advanced knowledge of SQL, DAX, and data modeling concepts; proven track record in defining, managing, and delivering BI projects; ability to participate in the development of resource plans and influence organizational priorities * Excellent written and verbal communication skills, including the ability to effectively present proposals and vision to executive leadership * Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa) KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work. Follow this link to obtain salary ranges by city outside of CA: ********************************************************************** KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Job Title Canoo Data Platform - Data Engineer About Canoo Canoo's mission is to bring EVs to Everyone and build a world-class team to deploy this sustainable mobility revolution. We have developed breakthrough electric vehicles that are reinventing the automotive landscape with pioneering technologies, award-winning designs, and a unique business model that spans all owners in the full lifecycle of the vehicle. Canoo is starting production and is distinguished by its pioneering and experienced team of technologists, engineers, and designers. With offices around the country, the company is scaling quickly and seeking candidates who love to challenge themselves, are motivated by purpose, and possess a strong desire to get things done. The “Canoo Way” Canoo's success is the direct result of our disciplined application of our core operating principles and drills, which are based on three main principles: Think 80/20 (“Important versus less important”), Act 30/30 (“Reduce waste and increase output”), and Live 90/10 (“We have each other's back”). We hire based on “MET” - Mindset, Equipment and willingness to Train - and seek individuals that take accountability and deliver results being Humble, Hungry to succeed, and Hunting for opportunities to win. We train our team to engage with each other by modulating between their intellect (iQ) and emotional intelligence (eQ) applying Facts, Finesse, and Force when they communicate. The principles and drills of the CANOO Way have been fundamental to our success, our ability to grow, continuously improve, innovate and are at the core of our day-to-day operations. Job Purpose As a Data Engineer, you will be responsible for developing and maintaining highly scalable data pipelines that enable data transformation and load between internal systems, IoT devices (electric vehicles), external backend systems, and frontend user interfaces. You will design and implement data streams ensuring data quality, data integrity, security, and high performance. Additionally, you will collaborate with cross-functional teams to continually integrate all company systems. Responsibilities (80s of the Position) Work with stakeholders to gather data and reporting requirements, to build dashboards and data flows. Create infrastructure-as-code, deployment pipelines, developer tools, and other automations. Understand product requirements, engage with team members and customers to define solutions, and estimate the scope of work required. Deliver solutions that can keep up with a rapidly evolving product in a timely fashion. Required Experience Google Cloud Platform (GCP), GCS, BigQuery Expertise with one or more back-end languages such as Python, Go, TypeScript, JavaScript, etc. SQL expertise - DBT experience a plus. Experience with cloud services like GCP, AWS or Azure. Kafka Dashboarding and Reporting - Superset, Looker Git - BitBucket/Gitlab *Kubernetes - Mid-Level Experience Preferred Experience Python Python dependency management and custom packages Expertise with Google Cloud Platform (GCP) Data Warehousing - partitioning, segmentation Internet of Things (IoT) and MQTT Docker Terraform - experience a plus CI/CD tooling - Jenkins/git-ci Understanding of automotive and embedded software systems Travel Requirements Onsite presence in the office, this is not a remote or hybrid role. Travel may be required on an occasional basis for events such as team meetings or working with manufacturers or subject-matter experts on particular tasks ( Physical Requirements for Non-Physical Positions While performing the duties of this job, employees may be required to sit for prolonged periods of time, occasionally bending or stooping, lifting up to 10 pounds, and prolonged periods of computer use. Reasonable Accommodations Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the position. What's Cool About Working Here... Meaningful, challenging work that will redefine automotive landscape and make EVs available to everyone Comprehensive Health Insurance Equity Compensation Flexible Paid Time Off Casual workplace with an unbelievable feeling of energy Canoo is an equal opportunity-affirmative action employer and considers all qualified applicants for employment based on business needs, job requirements and individual qualifications, without regard to race, color, religion, sex, age, disability, sexual orientation, gender identity or expression, marital status, past or present military service or any other status protected by the laws or regulations in the locations where we operate. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Any unsolicited resumes or candidate profiles submitted in response to our job posting shall be considered the property of Canoo Inc. and its subsidiaries and are not subject to payment of referral or placement fees if any such candidate is later hired by Canoo unless you have a signed written agreement in place with us which covers the applicable job posting. Canoo maintains compliance with the OFCCP. As such, please feel free to review the following information: ****************************************** ************************************************************************* If you are a person with a disability needing assistance with the application process, please call ************** or email us at *************************** Equal Employment Opportunity Posters Equal Employment Opportunity Posters | U.S. Department of Labor (dol.gov)

Country: United States of America Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract. Security Clearance: None/Not Required Pratt & Whitney is working to once again transform the future of flight-designing, building and servicing engines unlike any the world has ever seen. And because transformation begins from within, we're seeking the people to drive it. So, calling all curious. Come ready to explore and you'll find a place where your talent takes flight-beyond the borders of title, a country or your comfort zone. Bring your passion and commitment and we'll welcome you into a tight-knit team that takes our mission personally. Channel your drive to make a difference into shaping an organization and an industry that's evolving fast to the future. At Pratt & Whitney, the difference you make is on display every day. Just look up. Are you ready to go beyond? You will be an integral part of Pratt & Whitney's Sustainment Operational Excellence Data Engineering & Analytics team. This team supports the global aftermarket maintenance and overhaul of engines for the F117, F119, and F135 programs. We are looking for a Data Engineer II to advance the digital and data capability of the Military Engines Global Depot Network organization. You will be working on exciting new technologies like cloud and open-source tools among others, and be responsible for cleaning, standardizing, transforming, and configuring data products within our emerging data mesh. What You Will Do: * Create and maintain scripts written in Spark SQL or Pyspark in Databricks Notebooks. Also, work with SMEs to understand complex datasets for next generation data products and data visualizations to create data mesh tables. * Develop scalable and sustainable data product transformations that curate, clean and store data efficiently; perform statistical analysis to quantify completeness and validity; perform bug fixes and apply enhancements to the models when the need arises. * Ensure high performance and reliability of data transformation processes and pipelines. * Collaborate cross-functionally to gather insights, refine requirements, and ensure alignment between product goals and team efforts. * Document data processes, logic, and data sources to ensure transparency and knowledge sharing as well as support the overall team with any ad-hoc data related tasks. * Work to convert our existing data visualizations in Power BI to use Databricks instead of Azure Synapse. * Keep up to date with technologies and use advanced cloud data warehouse and data transformation techniques to build innovative solutions. Qualifications You Must Have: * A degree in Science, Technology, Engineering or Mathematics (STEM) with 2+ years of experience in the use of SQL and/or Python to transform, clean, and integrate data from a variety of source pipelines. * U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract. Qualifications We Prefer: * Experience with transformation tools such as dbt, Databricks pipelines, or relevant tools such as SSIS, ADF, or Matillion. * Demonstrated experience with Git/GitHub; experience working in cloud data warehouses like Databricks. * Familiarity with agile methodologies and Kanban boards. * Self-motivated, team player with good communication skills. Ability to focus on results and successfully manage multiple tasks/projects. * An astute individual, with the ability to build strong cross-functional relationships; excited at the prospect of developing and implementing new data products that add organizational value & improve decision making capabilities. * Business experience with Aerospace or other heavy manufacturing industry. * An understanding of ER Diagrams for data modeling. * Demonstrated understanding of data mesh design principles and data engineering best practices. Learn More & Apply Now! What is my role type? In addition to transforming the future of flight, we are also transforming how and where we work. We've introduced role types to help you understand how you will operate in our blended work environment. This role is: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance workers, as they are essential to the development of our engines. Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee's personal responsibility. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 66,000 USD - 130,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms

Additional Information: Show/Hide Must apply online. To complete application, click "apply" box to the right and above. open until filled Job Title: Data Engineer Department: Information Technology Services, Rockwell Campus Reports Directly To: Director of Information Technology Services Job Group: Y, Exempt Salary Range: *$63,208 - $80,302 (12 mo, 8hr Schedule) Position Closing Date: Open until filled Primary Function of Position: Francis Tuttle Technology Center is seeking a motivated and detail-oriented entry to intermediate-level Data Engineer to support the design, development, and maintenance of enterprise data solutions. The ideal candidate is naturally curious, eager to learn, and able to collaborate effectively with ITS staff and cross-functional teams to ensure organizational data remains accurate, accessible, and secure. The successful candidate will embody Francis Tuttle's core values of Service, Trust, Aspiration, Responsibility, and Respect while developing technical skills and contributing to impactful projects. Embrace the Francis Tuttle Culture as reflected in the Mission and Vision statements, and continually portray the Core Values: Service, Trust, Aspiration, Respect and Responsibility. Essential Job Functions: * Support current and future data integration tasks from multiple sources (databases, APIs, flat files, cloud services, etc.) using the district's enterprise tools and systems. * Monitor data pipelines and scheduled jobs, diagnosing and resolving issues in a timely manner. * Perform data quality checks to ensure accurate, consistent, and reliable reporting. * Support Microsoft Active Directory (AD) tasks related to data access and security, including user/group provisioning, permissions management, and troubleshooting authentication issues. * Serve as a "control tower" for data-related issues by facilitating requests from application owners and end users, tracking multiple issues simultaneously, resolving problems when possible, and escalating when necessary. Maintain visibility into issue status through a ticketing or support system. * Assist with the administration of cloud or on-premises data infrastructure (e.g., storage, permissions, connectivity). * Participate in team meetings and cross-functional projects to gain exposure to business operations and technology strategies. * Document processes, workflows, and troubleshooting steps to support operational knowledge sharing. * Ability to be present on the job as described under working conditions and contract details. * Other duties as assigned. Knowledge, Skills, and Abilities * Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field; equivalent experience considered. * Foundational knowledge of SQL and relational database concepts. * Familiarity with data integration concepts and ETL/ELT processes. * Exposure to cloud platforms (e.g., Azure, AWS, or GCP) is a plus. * Familiarity with data visualization tools (e.g., Power BI, Tableau) preferred. * Knowledge of Microsoft Windows Server and Microsoft Active Directory, or similar identity management systems, preferred. * Understanding of data governance, compliance, or security frameworks is a plus. * Strong problem-solving skills and attention to detail. * Excellent communication skills, both written and verbal. * Strong organizational skills with the ability to manage multiple tasks and priorities. * Eagerness to learn new tools, technologies, and best practices in data engineering. Working Conditions: This position requires the employee to work on site. This is not a remote work position. Long periods of sitting and concentrated visual effort is required. Extensive communication with internal customers. Reliable, dependable and punctual attendance. This is not an exhaustive list and reasonable accommodations will be made as needed. Organizational Relationship: Full-time, exempt personnel position reports directly to the Director of Information Technology Services. Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Contract Details: Twelve-month contract subject to annual renewal. Working day and hours are Monday through Friday, 8:00 a.m. - 4:30 p.m. Benefits: Francis Tuttle offers a comprehensive benefit package for full-time employment to include paid health and dental insurance, monthly supplemental benefit compensation of $465, employee leave plan with family friendly work calendar and 100% contribution into Oklahoma Teachers Retirement System. The district will match up to 2% of monthly, base salary with a 403b or 457 retirement plan (base salary does not include stipends or extra duty). * Starting salary represents individuals who are in early stages of career, newer to the role, working toward increasing proficiency. This range represents individuals who are fully experienced and qualified, demonstrate sustained performance for a period of time and exhibit full proficiency in all aspects of their role. Contact: Human Resources 12777 N. Rockwell Avenue Oklahoma City, Oklahoma 73142 ************** Only persons of interest will be contacted. Disclaimer: "The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. This information is not intended to be an exhaustive list of all responsibilities, duties, and skills required of personnel so classified." Equal Opportunity E-Verify Employer

**Our Company** At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. **What You'll Do** Teradata is seeking an exceptional Principle Data & AI Architect to join our newly formed Data and AI organization. This is a transformational role that will shape the future of AI and machine learning at enterprise scale, both within Teradata and for our customers globally. As a Principal Data Science & AI Architect, you will be responsible for designing and implementing AI, data science, and machine learning solutions at enterprise scale. This role uniquely leverages Teradata's 'customer zero' approach, where you will innovate using Teradata's own data and AI infrastructure, enabling direct customer engagement and positioning of Teradata's products and services based on real-world implementation experience. This position offers a rare opportunity to drive innovation from within, validate solutions in production environments, and directly influence how enterprises worldwide adopt and scale AI technologies. Key Responsibilities AI & Data Science Architecture + Design and architect enterprise-scale AI and machine learning solutions that demonstrate best practices for data science model development, deployment, and governance + Lead the evolution of Teradata's AI platform capabilities, including model lifecycle management, MLOps frameworks, and AI governance structures + Define architectural patterns and reference implementations for AI workloads across cloud, hybrid, and on-premises environments + Establish technical standards for model development, testing, validation, and deployment that can be replicated across customer implementations Customer Zero Innovation + Leverage Teradata as 'customer zero' to develop, test, and validate AI solutions using our own enterprise data and infrastructure + Create compelling proof points and case studies from internal implementations that demonstrate the value and scalability of Teradata's AI capabilities + Transform internal AI initiatives into reusable patterns, frameworks, and best practices that can be packaged for customer adoption + Identify product gaps and enhancement opportunities through hands-on implementation experience Enterprise AI Enablement + Develop comprehensive AI enablement strategies that accelerate enterprise adoption of machine learning and advanced analytics + Design and implement scalable MLOps pipelines that support the full model lifecycle from experimentation to production deployment + Build frameworks for responsible AI that ensure model explainability, fairness, bias detection, and compliance with regulatory requirements + Create architectural blueprints for integrating generative AI, large language models, and traditional ML within enterprise data ecosystems Customer Engagement & Positioning + Engage directly with strategic customers to share insights, best practices, and lessons learned from Teradata's internal AI implementations + Position Teradata's AI and analytics platforms through technical workshops, executive briefings, and industry events + Collaborate with sales and pre-sales teams to translate technical capabilities into business value propositions + Contribute to thought leadership through whitepapers, technical blogs, conference presentations, and industry publications What Makes This Role Unique The Principle Data Science & AI Architect role at Teradata offers a distinctive opportunity that sets it apart from traditional data science leadership positions: + Customer Zero Advantage: You'll innovate using Teradata's own data and infrastructure, allowing you to build, test, and validate solutions in a real enterprise environment before taking them to market. This creates authentic proof points and eliminates the typical gap between theory and practice. + Direct Customer Impact: Your work will directly shape how enterprises worldwide implement AI at scale. You'll engage with customers from a position of credibility, sharing firsthand experience rather than theoretical frameworks. + Product Influence: Your implementation experience will directly influence Teradata's product roadmap. You'll work hand-in-hand with engineering and product teams to ensure our platforms meet real-world enterprise needs. + Thought Leadership Platform: Teradata's brand and market position provide a global platform for your expertise. You'll have opportunities to speak at major industry events, contribute to influential publications, and shape the broader conversation around enterprise AI. + Scale and Complexity: Work on challenges that few organizations face-processing petabytes of data, supporting thousands of concurrent users, ensuring mission-critical reliability, and enabling AI at true enterprise scale. **Who You'll Work With** + Partner with Product Management to influence roadmap priorities based on real-world implementation experience + Collaborate with Engineering teams to provide feedback on platform capabilities and help shape future AI features + Work with Professional Services and Customer Success teams to codify best practices into repeatable methodologies + Mentor data scientists, ML engineers, and architects across the organization on AI best practices **What Makes You a Qualified Candidate** + S. or higher in Computer Science, Data Science, Machine Learning, Statistics, or related technical field + 10+ years of experience in data science, machine learning, and AI with at least 5 years in architecture or technical leadership roles + Proven track record of designing and implementing enterprise-scale ML/AI solutions in production environments + Deep expertise in machine learning frameworks and MLOps platforms + Strong foundation in distributed computing, big data technologies, and cloud platforms (AWS, Azure, GCP) + Experience with modern data architectures including data lakes, lakehouses, and cloud data warehouses + Demonstrated ability to translate complex technical concepts into business value for executive audiences + Excellent communication skills with experience presenting to technical and business stakeholders + Experience working in customer-facing roles such as consulting, solutions architecture, or technical evangelism Technical Competencies + Machine Learning: Supervised and unsupervised learning, deep learning, reinforcement learning, ensemble methods, feature engineering + AI Technologies: Natural language processing, computer vision, generative AI, LLMs, retrieval-augmented generation + Programming: Python, R, SQL, Scala, Java; proficiency with notebooks + MLOps & DevOps: CI/CD pipelines, containerization (Docker, Kubernetes), model versioning, experiment tracking, monitoring + Model Governance: Model risk management, bias detection, explainability (SHAP, LIME), compliance frameworks **What You Will Bring** + Prior experience with Teradata or other enterprise analytical platforms + Hands-on experience with generative AI, large language models, and foundation model integration + Knowledge of responsible AI practices, model governance, and regulatory compliance (GDPR, CCPA, AI Act) + Experience building and scaling data science teams or centers of excellence + Publications, patents, or open-source contributions in the AI/ML space + Industry recognition through speaking engagements, thought leadership, or technical community involvement + Domain expertise in specific industries such as financial services, healthcare, retail, or telecommunications **Why We Think You'll Love Teradata** We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are. \#LI-OC1 Teradata is proud to be an equal opportunity employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. We welcome and encourage individuals from all backgrounds to apply and join our team, bringing their unique perspectives and experiences to help us innovate and grow. Pay Rate: 199500.0000 - *********** - *********** Annually Starting pay for the successful applicant will depend on geographic location, internal equity, job-related knowledge, skills, and candidate experience. Sales roles will be eligible for commission payments tied to quota achievement. All other permanent roles will be eligible for one of our annual incentive plans, which are based on company financial attainment and individual performance. Employees in this position are also eligible to participate in the Company's comprehensive benefits programs, which include healthcare, life and disability insurance plans, a 401(k)-retirement savings plan, and time-off programs. Specific details of these benefits, including eligibility criteria and plan options, will be provided during the hiring process and can be reviewed here: **************************************************

We Are: Accenture's Salesforce practice, and we live to see what this platform can do. Since we were one of the first on the scene, we're the largest global Salesforce practice, not to mention one of the best. In fact, we are the industry leader for building Salesforce solutions, and we are Master Certified in all 12 industries and clouds. We use tech like Lightning, Einstein, and Bolt to build stronger, better relationships with customers. And we are always learning. We're building the most resourceful team on the planet, and helping our people with new skills, training, and support to get over 4,200 certifications including Certified Technical Architect (CTA). Visit us here (******************************************************************** to find out more about Accenture's Salesforce practice. You Are: A strong Veeva Data/Integration Architect with strong leadership skills and a talent for shepherding projects along in a timely and efficient manner so that companies can do more. Communication and relationship-building skills? You have both in spades and you use them to identify requirements, craft solutions, and get clients to green light proposals. You're not daunted by complex problems, thanks to your next-level analytical, organizational, and time-management skills, and you are a great at bringing out the best in team members. The Work: + Define the Veeva solutions across commercial, R&D, and quality for clients + Configure the Vault platform and interfaces to support E2E business processes + Define the data and integration architecture to support the Vault solution + Design and develop the data integrations between Vault platform and interfacing applications + Migrate the data from source applications to Vault platform + Drive the design of industry accelerators and assets to support differentiation and delivery excellence + Work with delivery team in mapping integration and technical requirements to solutions + Mentoring more junior team members in business analysis, project management, and Salesforce standard methodologies + Travel may be required for this role. The amount of travel will vary from 0 - 100% depending on business need and client requirements Here's What You Need + A minimum of 5 years of progressive experience in project management, business analysis, and technology implementation in full life-cycle Cloud engagements + A minimum of 3 years of experience in Veeva Vault or Salesforce Life Sciences data integration / architecture either through work at industry participants or consulting to the industry + A minimum of 3 years of experience in the life sciences vertical is required + A minimum of 3 years of experience in commercial, R&D, or quality functional domains + Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associates Degree, must have minimum 6 years' work experience) Bonus Points If + You have experience in Cloud Computing project implementation - Well rounded in both functional and technical aspects of a SaaS/digital engagement + You have experience with leading Teams - Proven ability to build, manage and foster a team-oriented environment + You have the knowledge of the life sciences vertical and sub-verticals (pharma, biotech, med tech) and ability to apply that to solution architecture + You can articulate Veeva value proposition to the life sciences space + You have exceptional communication and presentation skills + You are customer oriented and great at building client relationships + You have the desire to work in a dynamic work environment and be creative within a team + You have proven ability to work creatively and analytically in a problem-solving environment + You have the desire to work in an information systems environment + You have excellent communication (written and oral) and interpersonal skills + You have excellent leadership and management skills Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply . Information on benefits is here. (************************************************************ Role Location Annual Salary Range California $73,800 to $218,800 Cleveland $68,300 to $175,000 Colorado $73,800 to $189,000 District of Columbia $78,500 to $201,300 Illinois $68,300 to $189,000 Maryland $73,800 to $189,000 Massachusetts $73,800 to $201,300 Minnesota $73,800 to $189,000 New York/New Jersey $68,300 to $218,800 Washington $78,500 to $201,300 Requesting an Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at **************** or send us an email or speak with your recruiter. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Equal Opportunity Statement (******************************************************************************************************************************************** Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. 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