Data Engineer jobs at The Independent Traveler - 1020 jobs

Be one of the Bedo 100 Albedo is making Very Low Earth Orbit (VLEO) mainstream, building the infrastructure to usher every satellite mission set into this new orbital domain. We build buses, integrated satellites, and turnkey missions for customers to thrive in VLEO, between 200 km - 400 km, where proximity compounds performance & drag self-cleans debris. As part of the first 100 employees at Albedo, you will have a big impact on Albedo's trajectory to proliferating VLEO - whether you're advancing hardware to increase satellite longevity, scaling production for large constellations, building next-gen flight and ground software to push performance, or enabling missions that matter for national security and our day-to-day life here on earth. How We Operate: Albedo takes a first-principles approach - in space and in business. We move with speed, take calculated risks, and learn quickly. We use AI regularly to create leverage in every discipline across the company. We work in-person at our Broomfield CO HQ to maximize team & company productivity. We work hard & with urgency to compound our first-mover advantage. Who We're Looking For: Builders who want to own outcomes, not tasks. Systems thinkers who balance precision with iteration while thinking about the big picture. Individuals who are energized by creating a category rather than competing in an existing one. You'll join a team that has already proven what others said wasn't feasible and is now scaling & upgrading our VLEO buses & payloads to serve mission sets across sensing, communications, and responsive operations. If you can feel the excitement running through your veins, apply to be one of the Bedo 100. Compensation and Benefits: Employee friendly equity compensation 4% direct matching 401k Health Insurance: 100% employee coverage & 75% dependent coverage Parental leave and childcare coverage Flexible vacation and sick time from day one 12 company holidays $100 monthly wellness benefit Relocation package if not based in Denver What You'll Do: Work directly with avionics hardware to develop highly performant software in embedded Linux. Benchmark our solutions to ensure we're meeting our tight timing constraints. Design software solutions that can communicate between real-time operating systems and embedded Linux. Verify our software works end-to-end, from ground communication to spacecraft commanding. Participate in integration and test campaigns to ensure our software is robust. Assist in maintaining automated systems for CI/CD, both software-only and hardware solutions. Your Ideal Skills and Experience: Understand trade-offs when it comes to topics such as memory, processor capabilities, hardware offloading, latency/bandwidth, or build versus re-use. Can use version control, such as Git (hint: we use it), and you might be pedantic about how you version your software (like using SemVer). Demonstrate a core competency in one, or many, of the following: networking communication, distributed computing, Linux driver development, middleware frameworks, state machine modeling, real-time operating systems, software/hardware simulations, or pick your flavor of nerding out and tell us! Most importantly, want to learn, and want to be challenged. Have read all of this and are excited to apply! Even if you feel like you don't meet all of the qualifications, we encourage you to apply! Research shows that while men apply to jobs where they meet an average of 60% of the criteria, women and other marginalized people tend to only apply when they meet 100% of the qualifications. $115,250 - $135,000 a year Salary range aligns with the company's compensation structure, which compensates at market rates of 50th percentile salary and 75th percentile equity. The company uses market data provided by Pave to determine percentiles. The final compensation package is subject to change if the candidate's experience and company need drive a different job level than originally slated for the position. Albedo does not accept agency resumes. Please do not forward resumes to our careers email or to Albedo employees. Albedo is not responsible for any fees or overhead related to unsolicited resumes. Full-Time On-Site Work Environment: This position requires regular in-person engagement by working on-site full-time. Travel to other possible non-Albedo locations may be required. Relocation: Relocation for this position is available Working Conditions: Work is performed in an office environment, laboratory, cleanroom, or production floor. US CITIZENSHIP IS REQUIRED #LI-Onsite Albedo does not accept agency resumes. Please do not forward resumes to Albedo employees. Albedo is not responsible for any fees or overhead related to unsolicited resumes. Additional Requirements: In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. All persons hired will be required to be a U.S. citizen, a lawful permanent resident of the U.S., or protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Equal Opportunity Employer/Veterans/Disabled: Albedo is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Relocation: Relocation for this position is available US CITIZENSHIP IS REQUIRED #LI-Onsite We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Be one of the Bedo 100 Albedo is making Very Low Earth Orbit (VLEO) mainstream, building the infrastructure to usher every satellite mission set into this new orbital domain. We build buses, integrated satellites, and turnkey missions for customers to thrive in VLEO, between 200 km - 400 km, where proximity compounds performance & drag self-cleans debris. As part of the first 100 employees at Albedo, you will have a big impact on Albedo's trajectory to proliferating VLEO - whether you're advancing hardware to increase satellite longevity, scaling production for large constellations, building next-gen flight and ground software to push performance, or enabling missions that matter for national security and our day-to-day life here on earth. How We Operate: Albedo takes a first-principles approach - in space and in business. We move with speed, take calculated risks, and learn quickly. We use AI regularly to create leverage in every discipline across the company. We work in-person at our Broomfield CO HQ to maximize team & company productivity. We work hard & with urgency to compound our first-mover advantage. Who We're Looking For: Builders who want to own outcomes, not tasks. Systems thinkers who balance precision with iteration while thinking about the big picture. Individuals who are energized by creating a category rather than competing in an existing one. You'll join a team that has already proven what others said wasn't feasible and is now scaling & upgrading our VLEO buses & payloads to serve mission sets across sensing, communications, and responsive operations. If you can feel the excitement running through your veins, apply to be one of the Bedo 100. Compensation and Benefits: Employee friendly equity compensation 4% direct matching 401k Health Insurance: 100% employee coverage & 75% dependent coverage Parental leave and childcare coverage Flexible vacation and sick time from day one 12 company holidays $100 monthly wellness benefit Relocation package if not based in Denver What You'll Do: Work directly with avionics hardware to develop reliable embedded Linux flight software. Support board bring-up and system integration alongside senior and staff engineers. Configure and maintain BSPs, device trees, bootloaders, and root filesystem builds (Yocto). Design, implement, and review Linux kernel drivers for FPGA IP and third-party FPGA cores. Extend existing kernel drivers to meet performance, reliability, and timing constraints. Debug low-level issues involving interrupts, DMA, memory-mapped I/O, and concurrency. Create and execute test plans covering kernel, system integration, and application workflows. Contribute to and review modern C++ (C++23) application-layer flight software. Participate in architecture discussions, code reviews, integration testing, and deployment workflows. Ensure flight software scales across runtime environments-from desktop faster-than-real-time, to processor-in-the-loop, to hardware-in-the-loop. Your Ideal Skills and Experience: Have strong fundamentals in embedded Linux, including kernel concepts and system-level debugging. Have hands-on experience with Yocto, Linux boot flows, device trees, and root filesystem configuration. Are fluent in C/C++, comfortable with Python, and have working knowledge of CMake (bonus points for Rust). Understand how drivers interact with hardware through interrupts, DMA, and memory-mapped I/O. Can read datasheets, trace problems across the stack, and methodically get to root cause. Use version control like Git without thinking twice (and yes, we use GitLab). Thrive on a tight-knit, cross-functional embedded team that values ownership, humility, and momentum. Are willing to step outside your comfort zone and tackle the problem that needs solving today. Familiarity with OMG DDS is a plus. Even if you feel like you don't meet all of the qualifications, we encourage you to apply! Research shows that while men apply to jobs where they meet an average of 60% of the criteria, women and other marginalized people tend to only apply when they meet 100% of the qualifications. $145,508 - $168,000 a year Salary range aligns with the company's compensation structure, which compensates at market rates of 50th percentile salary and 75th percentile equity. The company uses market data provided by Pave to determine percentiles. The final compensation package is subject to change if the candidate's experience and company need drive a different job level than originally slated for the position. Albedo does not accept agency resumes. Please do not forward resumes to our careers email or to Albedo employees. Albedo is not responsible for any fees or overhead related to unsolicited resumes. Full-Time On-Site Work Environment: This position requires regular in-person engagement by working on-site full-time. Travel to other possible non-Albedo locations may be required. Relocation: Relocation for this position is available Working Conditions: Work is performed in an office environment, laboratory, cleanroom, or production floor. US CITIZENSHIP IS REQUIRED #LI-Onsite Albedo does not accept agency resumes. Please do not forward resumes to Albedo employees. Albedo is not responsible for any fees or overhead related to unsolicited resumes. Additional Requirements: In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. All persons hired will be required to be a U.S. citizen, a lawful permanent resident of the U.S., or protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Equal Opportunity Employer/Veterans/Disabled: Albedo is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Relocation: Relocation for this position is available US CITIZENSHIP IS REQUIRED #LI-Onsite We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Responsible for building and maintaining internal Enterprise Analytics solutions which include but is not limited to database design/modeling, database creation, performance optimization, data loads, reporting and dashboards. Provide senior level technical expertise in overseeing the design, implementation and maintenance of the data architecture function as well as serve as the in-house expert that leads and promotes innovative data designs and data quality improvements. DUTIES & RESPONSIBILITIES Lead and support the analytical content for data related to onboard systems which includes (Fleet) HR data, Hotel/Property Management data, Point of Sale data and Dining System data amongst others. Lead and provide technical guidance for design and implementation of data storage and governance systems. Design and develop highly visual, interactive, and layered Enterprise Analytics solutions using Tableau, Business Objects (utilizing Information Design Tool, Web Intelligence, & Crystal Reports). Triage requests, gather user requirements, and ultimately facilitate ad hoc report/data requests with a quick turn-around time and/or develop production reports originating from the Data Warehouse (Snowflake) to be used by the business for ongoing analytical and operational needs. Responsible for the construction of basic to advanced SQL (Oracle / SQL Server) and basic PLSQL that provide the necessary data to support the business and feed our Enterprise Analytics platforms. Responsible for data preparation, data blending, the creation of data models /sets. Provide application support to internal users of the Enterprise Analytics applications including fleet and shore-side departments. Define and document processes, best practices, and strategies for existing and future Enterprise Analytics solutions, optimizing business efficiencies as it relates to process improvement. Responsible for the education of users on available Enterprise Analytics platform. Design test plans, including definition of test cases and the creation of detailed solution test scripts. Work with other teams and vendors to explore methods for automation of testing. Audit and analyze application data, when requested by management. Act as a liaison between business users, management and application system IT support. Maintain documentation of database workflows, requirements, policies, and procedures as they relate to Enterprise Analytics reporting. Prepare, assist, and conduct presentations to management and team members related to analytical findings across various areas of the business that will be utilizing the data. Support the creation, implementation, communication and ongoing support of data standards and processes to ensure standardized data naming, establishing consistent data definitions and monitoring overall data quality. Assist business and IT areas in developing relevant exception reporting and addressing existing exceptions reports to ensure that mistakes, inaccuracies and discrepancies are highlighted, addressed and ultimately resolved. Interface with Data Warehouse and Architectural staff to provide data requirements to support ongoing Enterprise Analytics initiative. Perform other job-related functions as assigned. QUALIFICATIONS DEGREE TYPE: Bachelor's Degree FIELD(S) OF STUDY: Computer Engineer Science, Statistics, Industry Engineering, Business Administration or related field of study; or any equivalent combination of experience and training. EXPERIENCE Minimum 4 years' experience in Information Technology, Enterprise Analytics and Database, developing data visualizations, end user reports and performing data analysis, using Enterprise Analytics platforms including Tableau, Business Objects (Information Design Tool, Web Intelligence & Crystal Reports). COMPETENCIES/SKILLS Strong ability to use SQL for analyzing data. In-depth Knowledge of Software Development Lifecycle and methodologies. Project management and data warehouse technologies experience, preferred. Strong background developing data visualizations, end user reports and performing data analysis. Strong understanding of design strategies around information display. End to end knowledge of Enterprise Analytics and data warehousing architectures. Fundamental understanding of data management systems and processes within the ecosystem (source systems, data feeds, reference data management, ETL, Data Warehouses and Marts, data cube design, etc.). Strong RDBMS background, have excellent SQL skills. Excellent analytical skills and organizational skills to gather and document business requirements. Strong verbal and written communication skills to thoroughly prepare specifications, make recommendations and effectively work with internal and external members. Self-motivated, quality-oriented, and delivery-oriented.

Boyd Gaming Corporation has been successful in gaming jurisdiction in which we operate in the United States and is one of the premier casino entertainment companies in the United States. Never content to rest upon our successes, we will continue to evolve and retain a position of leadership in our industry. Our past success, our current business philosophies and our sound business planning, combine to position Boyd Gaming Corporation to maximize value for our shareholders, our team members and our communities. Job Description The Engineer II is responsible for providing superior service to both the internal and external customer. The position is also responsible for assisting in the performance of the following types of maintenance work: carpentry, plumbing, painting and mechanical. The Engineer II Provides superior customer service, positively effects interactions with customers and employees, and has the resiliency to deal with difficult customers in all types of business conditions and the ability to work harmoniously with coworkers. Fabricates, repairs, and maintains mechanical devices, motors and pumps. Keeps workshop orderly by cleaning tool boxes, putting away tools and parts, and straightening electrical storage area. Assists in building interface or accessory equipment as needed. Responds to customer requests for maintenance assistance in order to provide courteous, timely and expert service. Repairs and installs structural woodwork and equipment; assists in preparing wall surface for painting and wall covering, in order to ensure proper operation of all equipment according to established schedules and department standards. Performs upholstery work as required. Installs and maintains all tile, marble floor materials, carpet, and carpet tiles. Will run milling equipment, lathes and power tools; welds materials. Qualifications Knowledge of paint mixing techniques and airless spraying equipment Knowledge of upholstery techniques, tools, and equipment. Knowledge of materials and installation techniques related to carpet, carpet tiles, stone flooring materials, and hardwood floors. Knowledge of property layout, including sprinklers risers and emergency generator system. Must be able to obtain and maintain all appropriate licenses / certifications per Federal, State, and Gaming regulations. Must be at least 21 years of age. These skills and abilities necessary are typically acquired through the completion of a high school education and a minimum of two (2) years' related experience or through an A.A. degree in a related field or completion of a recognized apprenticeship program. Additional Information All your information will be kept confidential according to EEO guidelines. Boyd Gaming is proud to be an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state, or local protected class.

The Opportunity This is an exciting time at Enigma. We're on the cusp of releasing our next generation of small business intelligence products built on years of learnings in the space. We are seeking an experienced Senior Data Engineer to join our team and help shape the trajectory of these products. Your work will directly impact the accuracy, scalability, and predictive capabilities of our data platform, influencing key business decisions for our customers. The Role As a Senior Data Engineer, you will be responsible for designing, building, and maintaining our core small business data product. You will collaborate with cross-functional teams to build out new product capabilities starting from raw source data, through scalable data pipelines and models to the customer interface. We embrace customer focus and end-to-end ownership so your impact will be measured by the value we deliver and the technical quality and maintainability of our product. What You'll Do Understand the unmet needs of our customers and create capabilities to address these. This usually involves a process of exploring data, prototyping, and evaluation, followed by the build of robust and maintainable data pipelines. Engineer scalable and maintainable data systems that tell the story of millions of U.S. small businesses (we use Databricks SQL, PySpark, and MLFlow). You'll be building on top of our innovative data infrastructure that's designed for iteration and experimentation (uses Dagster for orchestration and LakeFS for data versioning). Apply a data-focused, first-principles approach to problem solving. We value candidates who bias towards simple and elegant solutions but have the capability to implement state-of-the-art models and techniques when required. Inspire your teammates to perform at their best while fostering a collaborative, supportive team culture. What Makes This Role Exciting? Ownership and Impact: Work directly with customers and internal teams to build product capabilities in an environment of high-trust and responsibility. Technical Challenge: Tackle complex data and engineering problems, balancing speed of innovation with scalability and reliability. Learning: Work on unique, high-impact data challenges that require creative problem-solving and cutting-edge techniques. Our Ideal Candidate Must have 5+ years of engineering or data science experience, including 3+ years working on distributed data systems. Has practical experience extracting value from data in a creative way to deliver customer impact. Cares deeply about creating value and wants to learn, ship, and iterate quickly. Strong collaboration skills and a desire to work in a cross-functional environment. A principled, metrics-driven approach to solving complex data problems. Bonus Points If You Have built data products in the entity resolution, sales, marketing, KYB, or credit underwriting space. Prior experience in Python, Spark and Databricks. About Us At Enigma, we're building the single, most reliable source of data on businesses to power the future of financial services. By engineering better data from hundreds of public and third-party sources, we aim to tell the complete story of every business, so that companies of every size can access the financial services they need to grow and thrive. Our core values - generosity, curiosity, ingenuity, & drive - guide everything we do, from how we make our most important product decisions to how we work with and support one another on a daily basis. We're a team of curious, driven individuals with diverse backgrounds and skills, but we're all passionate about engineering deeper understanding through data-together. If this resonates, we would love to hear from you! We are proud to be an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Salary Range: $160,000-$210,000 A note on salary ranges: we pride ourselves on paying competitively for our size and industry. Salary is one piece of a total Enigma compensation package that includes additional benefits and opportunities. All of our compensation packages include equity because we believe 100% of Enigma employees should have the option to purchase ownership in the company and benefit from the value we're creating together.

As a Data Engineer, you will engage in the design, development, and maintenance of data platforms and solutions, including applying data management principles to pipelines and delivering analytical and operational solutions to provide visibility and enable decision-making. You will develop data integration solutions and work with cross-functional teams to build products and services to meet business needs. This role will comprise of 75% Data Engineer and 25% Data Analytics. About the role Identify, investigate and solve data quality issues and ensure data is secure and reliable Develop Extract, Load, Transform (ELT) processes from various data repositories and APIs across the enterprise, ensuring data quality and process efficiency Develop data processing scripts Experienced working in highly cross-functional settings, and in a role that spans data engineering, strategy, and operations Work in a hybrid data environment with on-premises and cloud data warehouses Develop relational and non-relational data models to shape data to meet user needs Monitor performance and scalability issues in a large-scale data lake environment About you Passion for digging deep into data to diagnose business issues, drive operational excellence, and solve problems 3-5 years of experience or equivalent competency building data solutions, including relational and non-relational databases, and supporting implementation and maintenance of batch and real-time data pipelines using cloud services Degree or equivalent competency in computer science, information technology, or a related field 3 years of experience or equivalent competency analyzing data to identify deliverables, gaps and inconsistencies Expertise writing simple and complex SQL queries (Snowflake, AWS, etc.) Technical skills in Python, Airflow, Github, Advanced SQL, Advanced Excel, PowerBI/Tableau Experience accessing and developing REST APIs What you'll get Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We've got your back. Check out our full list of Benefits and Perks. About us Rocket Close is a leading national provider of title insurance, property valuations and settlement services. Here, you'll be given all the resources and support needed to deliver innovative solutions and in turn, your hard work will be rewarded with a competitive compensation package and an array of other amazing benefits. Apply today to join a team that offers career growth, amazing benefits and the chance to work with leading industry professionals. This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. The company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws. Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team, at ****************** . Illinois, Maryland, Minnesota, Massachusetts, Colorado, Cleveland, New York City, New Jersey, Jersey City, California, D.C and Washington Candidates only: the compensation for this position is $87,000.00-$207,000.00. The position may also be eligible for an annual bonus, incentives, and other employment-related benefits including, but not limited to, medical, dental, and vision benefits, 401K retirement plan, and paid-time off. More information regarding these benefits and others can be found here . The information regarding compensation and other benefits included in this paragraph is the company's current, good faith estimate at the time of posting. [Compensation and benefits are subject to modification from time to time as the Company, in its sole and exclusive discretion, deems appropriate.] The Company may determine during its future reviews of the proposed compensation and benefits provided for this position, that the compensation and benefits for such position should be reduced. In no event will the Company reduce the compensation for the position to a level below the applicable jurisdictional minimum wage rate for the position. Los Angeles County and San Francisco Candidates only: qualified applicants with arrest or conviction records will be considered for employment per the Fair Chance Ordinance and the Fair Chance Initiative for Hiring.

Who We Are At Salted, we believe the future of restaurants doesn't look anything like what we see today. The most important brands will be built outside four walls and will find new, innovative ways to build deep relationships with their customers. Currently, Salted is the largest delivery-first restaurant group in the US, with locations in 10 states and 20+ cities. We build, own and operate better-for-you restaurant brands that define how a new generation of customers want to eat. We're looking for a Data Engineer to join as the second member of our Data/Engineering team. This team is responsible for building our internal applications & reporting tools, as well as any other corporate & kitchen IT needs. Your main focus will be ensuring we continue to deliver useful and timely insights across the organization as we grow. The right candidate is a problem solver excited to dive deep into the operational challenges our teams face and the data we have available to help make our managers more effective. There is a lot of opportunity to grow and work on additional parts of our system depending on your skills, experience, and interests. Salary Range $100,000 to $150,000 Benefits Unlimited PTO Medical, Dental, & Vision plan 401k with up to a 4% employer match Career advancement opportunities As the Data Engineer, you will work closely with our Business Operations Engineer to: Become an expert on our dbt pipelines and models, owning all ad-hoc data requests and questions Understand the needs of our various teams and identify opportunities to gather and use new data Design, build, and maintain new pipelines to integrate data from first and third party sources Own data models and quality testing to support internal BI tools and ensure data quality Develop visualizations, reports, and dashboards for use across the organization Document pipelines, systems, and models Understand the tools our teams are using and source data they provide Optimize queries & pipelines to scale with our kitchen growth and reporting needs Work on other corporate IT & system setup tasks and help cover any tech issues in kitchens You will bring: Fluency in SQL Experience with dbt or other data modeling tools and experience building data pipelines Experience with Python or another programming language Experience with data pipelines, cloud data warehouses (ex. BigQuery, Snowflake), and managing data quality & consistency Strong analytical thinking, excellent verbal & written communication Experience using data to solve operational problems Eagerness to learn and deeply understand restaurant operations We understand that there is no such thing as the “perfect prior work experience” and encourage you to apply even if you don't meet all the desired qualifications. One of the most important qualities we're looking for is someone who is driven, eager to learn, and has a growth mindset. This is a remote position reporting to the HQ office in Los Angeles, CA. We highly encourage serious candidates to email us directly at [email protected] with their resumé, a quick paragraph about themself, and why they're interested in the position. We read every single one of these emails! Please include "Data Engineer " in the subject line. Responsibilities and tasks outlined in this document are not exhaustive and may change as determined by the needs of the company.

Cybercrime is rising, reaching record highs in 2024. According to the FBI's IC3 report total losses exceeded $16 billion. With investment fraud and BEC scams at the forefront, the message is clear: the real estate sector remains a lucrative target for cybercriminals. At CertifID, we take this threat seriously and provide a secure platform that verifies the identities of parties involved in transactions, authenticates wire transfer instructions, and detects potential fraud attempts. Our technology is designed to mitigate risks and ensure that every transaction is conducted with confidence and peace of mind. We know we couldn't take on this challenge without our incredible team. We have been recognized as one of the Best Startups to Work for in Austin, made the Inc. 5000 list, and won Best Culture by Purpose Jobs two years in a row. We are guided by our core values and our vision of a world without wire fraud. We offer a dynamic work environment where you can contribute to meaningful impact and be part of a team dedicated to enhancing security and fighting fraud. We're seeking an exceptional Staff Data Engineer to help us take our data platform to the next level. This is a high-impact role where you'll architect and build scalable data infrastructure, empower data-driven decision-making, and help shape the future of fraud prevention. We're scaling fast, and you'll have the chance to shape the future of our data platform. You will collaborate with data scientists, engineers, and business stakeholders to ensure high-quality, actionable data insights to enable business outcomes.What You Will Do Design and build robust, scalable, secure data pipelines and infrastructure to support analytics, product intelligence, and machine learning. Lead data architecture decisions, ensuring high performance, reliability, and maintainability across our platform. Collaborate cross-functionally with product, engineering, and business teams to deliver data solutions that drive strategic insights and operational excellence. Champion data quality and governance, implementing best practices for data validation, lineage, and observability. Mentor and guide other data engineers, fostering a culture of technical excellence and continuous learning. What We're Looking For Proven experience as a staff-level data engineer in a fast-paced, product-driven environment. Engineering experience of 8+ years. Experience in leading teams of other engineers to build a long-term technical vision and plans to achieve it. Deep expertise in cloud data platforms (e.g., Snowflake, BigQuery, Redshift) and orchestration tools (e.g., Airflow, dbt).Strong programming skills in Python or Scala, and proficiency with SQL. Experience with real-time data processing (e.g., Kafka, Spark Streaming) and data modeling for analytics and ML. A growth mindset, strong ownership, and a passion for solving complex problems that matter. Preferred Experience Experience in fintech, cybersecurity, or fraud prevention. Familiarity with data privacy regulations (e.g., SOC 2, GDPR, CCPA). Contributions to open-source data tools or communities. What We Offer Flexible vacation 12 company-paid holidays 10 paid sick days No work on your birthday Health, dental, and vision Insurance (including a $0 option) 401(k) with matching, and no waiting period Equity Life insurance Generous parental paid leave Wellness reimbursement of $300/year Remote worker reimbursement of $300/year Professional development reimbursement Competitive pay An award-winning culture Not sure if you check all the boxes? Apply anyway! We know that great talent comes in many forms, and we value potential just as much as experience. If you're excited about this role and believe you can grow into it, we'd love to hear from you. We're looking for people who are eager to learn, adapt, and solve challenges-so if that sounds like you, don't let a checklist hold you back! Change doesn't happen overnight, and the same goes for us here at CertifID. We PROGRESS collectively and individually as we grow, abiding by our core values. Protect the Customer, Raise the Bar, Operate with Urgency, Grow with Grit, Ride the Wave, Enthusiasm Spreads, Stay Connected, Send It.

Cybercrime is rising, reaching record highs in 2024. According to the FBI's IC3 report total losses exceeded $16 billion. With investment fraud and BEC scams at the forefront, the message is clear: the real estate sector remains a lucrative target for cybercriminals. At CertifID, we take this threat seriously and provide a secure platform that verifies the identities of parties involved in transactions, authenticates wire transfer instructions, and detects potential fraud attempts. Our technology is designed to mitigate risks and ensure that every transaction is conducted with confidence and peace of mind. We know we couldn't take on this challenge without our incredible team. We have been recognized as one of the Best Startups to Work for in Austin, made the Inc. 5000 list, and won Best Culture by Purpose Jobs two years in a row. We are guided by our core values and our vision of a world without wire fraud. We offer a dynamic work environment where you can contribute to meaningful impact and be part of a team dedicated to enhancing security and fighting fraud. We're seeking an exceptional Staff Data Engineer to help us take our data platform to the next level. This is a high-impact role where you'll architect and build scalable data infrastructure, empower data-driven decision-making, and help shape the future of fraud prevention. We're scaling fast, and you'll have the chance to shape the future of our data platform. You will collaborate with data scientists, engineers, and business stakeholders to ensure high-quality, actionable data insights to enable business outcomes.What You Will Do Design and build robust, scalable, secure data pipelines and infrastructure to support analytics, product intelligence, and machine learning. Lead data architecture decisions, ensuring high performance, reliability, and maintainability across our platform. Collaborate cross-functionally with product, engineering, and business teams to deliver data solutions that drive strategic insights and operational excellence. Champion data quality and governance, implementing best practices for data validation, lineage, and observability. Mentor and guide other data engineers, fostering a culture of technical excellence and continuous learning. What We're Looking For Proven experience as a staff-level data engineer in a fast-paced, product-driven environment. Engineering experience of 8+ years. Experience in leading teams of other engineers to build a long-term technical vision and plans to achieve it. Deep expertise in cloud data platforms (e.g., Snowflake, BigQuery, Redshift) and orchestration tools (e.g., Airflow, dbt).Strong programming skills in Python or Scala, and proficiency with SQL. Experience with real-time data processing (e.g., Kafka, Spark Streaming) and data modeling for analytics and ML. A growth mindset, strong ownership, and a passion for solving complex problems that matter. Preferred Experience Experience in fintech, cybersecurity, or fraud prevention. Familiarity with data privacy regulations (e.g., SOC 2, GDPR, CCPA). Contributions to open-source data tools or communities. What We Offer Flexible vacation 12 company-paid holidays 10 paid sick days No work on your birthday Health, dental, and vision Insurance (including a $0 option) 401(k) with matching, and no waiting period Equity Life insurance Generous parental paid leave Wellness reimbursement of $300/year Remote worker reimbursement of $300/year Professional development reimbursement Competitive pay An award-winning culture Not sure if you check all the boxes? Apply anyway! We know that great talent comes in many forms, and we value potential just as much as experience. If you're excited about this role and believe you can grow into it, we'd love to hear from you. We're looking for people who are eager to learn, adapt, and solve challenges-so if that sounds like you, don't let a checklist hold you back! Change doesn't happen overnight, and the same goes for us here at CertifID. We PROGRESS collectively and individually as we grow, abiding by our core values. Protect the Customer, Raise the Bar, Operate with Urgency, Grow with Grit, Ride the Wave, Enthusiasm Spreads, Stay Connected, Send It.

Compensation Range $140,000 - $156,000 / Year Eligible for a hybrid work schedule split between home & office, with a minimum of 3 days in the office each week. You may know us as a company with great food. You may also know us from 'Fortune's 100 Best Companies to Work For' list. The Senior Data Engineer will be an integral part of the Integrations team within our Information Technology department. They will have the responsibility to design, develop, support, and optimize data pipelines and architectures using modern iPaaS solutions and other cloud-based data processing and storage solutions. They will collaborate with various stakeholders to identify data needs and utilize best practices to integrate with disparate systems for data sharing. You'll thrive in this position if you are: * Deadline Driven: you understand that deliverables are due by a specific date and time, and your time management and work ethic gets you there with ease. * A Team Player: you're a collaborative team player who shows respect for the views and contributions of others while building team spirit across the department. * Highly Organized: in a dynamic work environment with many moving parts, you easily prioritize your responsibilities while maintaining deadlines. * Adaptable: you're at ease in a fast-paced environment and you're able to change direction rapidly when priorities, deadlines, or personalities shift. * Accountable/Responsible: you're able and willing to take initiative and ownership for getting things done (within a supportive team environment). Here's more of what you'll get to do: * Design, develop, and maintain scalable, fault-tolerant data pipelines using ETL/ELT frameworks to support ingestion, transformation, and integration of structured and unstructured data. * Implement integration solutions with external systems via REST APIs, SOAP services, and message queues (e.g., RabbitMQ and Kafka) to enable real-time and batch data exchange. * Partner cross-functionally with Business Analysts, BI teams, and stakeholders to translate business requirements into technical designs, data contracts, and production-ready solutions. * Optimize and troubleshoot data systems (Azure SQL Database, Azure Data Factory, SSIS) for performance tuning, query optimization, and cost efficiency. * Design and implement robust data models for analytical and transactional systems ensuring referential integrity and scalability. * Implement best practices for data management, including data governance, security (RBAC, password less auth), compliance, and auditing using Azure Purview or similar tools. * Maintain comprehensive documentation of data workflows, architecture diagrams, and integration patterns. * Mentor and support junior engineers through code reviews, design guidance, and troubleshooting, helping raise overall engineering quality and delivery consistency. * Lead proofs of concept (POCs) and evaluate tools such as Snowflake, Databricks, and Airflow, providing recommendations to improve architecture, scalability, and operational maturity. * Leverage CI/CD pipelines for Azure functions, data factory and SSIS using GitHub Actions to ensure automated deployments and version control. * Work with cloud-native storage and compute services (Azure Blob Storage, Data Lake Gen2, Functions, Logic Apps, SSIS,ADF) for scalable data processing and integration. * Develop automation scripts in Python and PowerShell for data processing, orchestration, and operational efficiency. What we require: * 5+ years of hands-on experience with Azure Data Factory, Azure SQL offerings, and SSIS. * Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field * Proficiency in SQL, Python, stored procedures and other data transformation techniques. * Expertise in optimizing SQL queries using query optimization techniques and other performance tuning strategies. * Scripting experience utilizing Python/PowerShell. * Experience with system design and data architecture, including scalable integration patterns. * Exposure to modern data platforms such as Databricks, Synapse, BigQuery, or Snowflake. * Experience with iPaaS tools (e.g., SnapLogic, TIBCO, Adeptia) and external system integrations. * Strong problem-solving and data debugging skills. * Demonstrated ability to learn and adapt to new technologies and methodologies. * Excellent communication skills and teamwork abilities. What we prefer: * Restaurant industry experience. * Familiarity with other cloud-based technologies and services on Azure e.g. Logic Apps, Functions. * Experience building frameworks and utilities that standardize implementation of data quality, logging, monitoring etc. * Azure certifications e.g. Azure Fundamentals, Azure Data Fundamentals, Azure Data Engineer. * Experience mentoring engineers, setting standards, and contributing to technical roadmaps. What we offer: * Vacation and sick time * Medical, Dental & Vision * 401K with company match * Tuition reimbursement * 25%-35% discount when dining as a guest * Annual stipend for dining in our restaurant About the Company: Named to FORTUNE Magazine's "100 Best Companies to Work For" list every year since 2014, The Cheesecake Factory Incorporated is a leader in experiential dining. We are culinary-forward and relentlessly focused on hospitality. Delicious, memorable experiences created by passionate people-this defines who we are and where we are going. We currently own and operate 353 restaurants throughout the United States and Canada under brands including The Cheesecake Factory, North Italia, Flower Child and a collection of other FRC brands. Internationally, 34 The Cheesecake Factory restaurants operate under licensing agreements. Our bakery division operates two facilities that produce quality cheesecakes and other baked products for our restaurants, international licensees and third-party bakery customers. We are committed to creating an inclusive and welcoming workplace for all. We welcome applicants from a wide variety of identities, ideas, perspectives, backgrounds and experiences to apply. The Cheesecake Factory offers reasonable accommodations to job applicants with disabilities. #SoCheesecake #LifeAtCheesecake To notify of a non-compliant job posting, please send a notice to ****************************. * 5+ years of hands-on experience with Azure Data Factory, Azure SQL offerings, and SSIS. * Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field * Proficiency in SQL, Python, stored procedures and other data transformation techniques. * Expertise in optimizing SQL queries using query optimization techniques and other performance tuning strategies. * Scripting experience utilizing Python/PowerShell. * Experience with system design and data architecture, including scalable integration patterns. * Exposure to modern data platforms such as Databricks, Synapse, BigQuery, or Snowflake. * Experience with iPaaS tools (e.g., SnapLogic, TIBCO, Adeptia) and external system integrations. * Strong problem-solving and data debugging skills. * Demonstrated ability to learn and adapt to new technologies and methodologies. * Excellent communication skills and teamwork abilities. What we prefer: * Restaurant industry experience. * Familiarity with other cloud-based technologies and services on Azure e.g. Logic Apps, Functions. * Experience building frameworks and utilities that standardize implementation of data quality, logging, monitoring etc. * Azure certifications e.g. Azure Fundamentals, Azure Data Fundamentals, Azure Data Engineer. * Experience mentoring engineers, setting standards, and contributing to technical roadmaps. * Design, develop, and maintain scalable, fault-tolerant data pipelines using ETL/ELT frameworks to support ingestion, transformation, and integration of structured and unstructured data. * Implement integration solutions with external systems via REST APIs, SOAP services, and message queues (e.g., RabbitMQ and Kafka) to enable real-time and batch data exchange. * Partner cross-functionally with Business Analysts, BI teams, and stakeholders to translate business requirements into technical designs, data contracts, and production-ready solutions. * Optimize and troubleshoot data systems (Azure SQL Database, Azure Data Factory, SSIS) for performance tuning, query optimization, and cost efficiency. * Design and implement robust data models for analytical and transactional systems ensuring referential integrity and scalability. * Implement best practices for data management, including data governance, security (RBAC, password less auth), compliance, and auditing using Azure Purview or similar tools. * Maintain comprehensive documentation of data workflows, architecture diagrams, and integration patterns. * Mentor and support junior engineers through code reviews, design guidance, and troubleshooting, helping raise overall engineering quality and delivery consistency. * Lead proofs of concept (POCs) and evaluate tools such as Snowflake, Databricks, and Airflow, providing recommendations to improve architecture, scalability, and operational maturity. * Leverage CI/CD pipelines for Azure functions, data factory and SSIS using GitHub Actions to ensure automated deployments and version control. * Work with cloud-native storage and compute services (Azure Blob Storage, Data Lake Gen2, Functions, Logic Apps, SSIS,ADF) for scalable data processing and integration. * Develop automation scripts in Python and PowerShell for data processing, orchestration, and operational efficiency.

Jobs for Humanity is partnering with Capital One to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals. This position is open to candidates who reside in and have the legal right to work in the country where the job is located. Company Name: Capital One Job Description Locations: VA - McLean, United States of America, McLean, Virginia Distinguished Engineer - Data Architecture Come join my teams in the Enterprise Data & Machine Learning group to build a highly scalable, well governed, data ecosystem that scales across 1000's of AWS accounts, tens of thousands of database instances, and millions of files stored across enterprise. You will also have the opportunity to shape the future of the platform that exchanges terabytes of data daily between Capital One and partners. Distinguished Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions. Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and inner source solutions where possible Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: Bachelor's Degree At least 7 years of Data Architecture or Enterprise Architecture experience At least 5 years of experience in design patterns At least 5 years of AWS cloud experience At least 3 years of experience building data products At least 3 years of experience with enterprise level data governance Preferred Qualifications: Masters' Degree 8+ years of data governance, data access, data lineage, data monitoring, and security controls experience 7+ years of experience developing in Python, Java, Scala or Node 6+ years of experience dealing with large number of cross AWS account communications 5+ years of experience in software architecture 3+ years of rich experience in modern database technology evaluation and data modeling 3+ years of experience in building highly resilient distributed data systems 3+ years in data engineering including experience in distributed data pipelines and test data engineering 3+ years of experience in Agile practices 1+ year of experience with developing strategy and implementing target architectures AWS Solution Architect - Professional or AWS Certified Data Analytics - Specialty certified Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $269,400 - $307,500 for Distinguished Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Company DescriptionJobs for Humanity is partnering with Capital One to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals. This position is open to candidates who reside in and have the legal right to work in the country where the job is located. Company Name: Capital One Job DescriptionLocations: VA - McLean, United States of America, McLean, VirginiaDistinguished Engineer - Data Architecture Come join my teams in the Enterprise Data & Machine Learning group to build a highly scalable, well governed, data ecosystem that scales across 1000's of AWS accounts, tens of thousands of database instances, and millions of files stored across enterprise. You will also have the opportunity to shape the future of the platform that exchanges terabytes of data daily between Capital One and partners. Distinguished Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions. Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and inner source solutions where possible Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: Bachelor's Degree At least 7 years of Data Architecture or Enterprise Architecture experience At least 5 years of experience in design patterns At least 5 years of AWS cloud experience At least 3 years of experience building data products At least 3 years of experience with enterprise level data governance Preferred Qualifications: Masters' Degree 8+ years of data governance, data access, data lineage, data monitoring, and security controls experience 7+ years of experience developing in Python, Java, Scala or Node 6+ years of experience dealing with large number of cross AWS account communications 5+ years of experience in software architecture 3+ years of rich experience in modern database technology evaluation and data modeling 3+ years of experience in building highly resilient distributed data systems 3+ years in data engineering including experience in distributed data pipelines and test data engineering 3+ years of experience in Agile practices 1+ year of experience with developing strategy and implementing target architectures AWS Solution Architect - Professional or AWS Certified Data Analytics - Specialty certified Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $269,400 - $307,500 for Distinguished Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Company DescriptionJobs for Humanity is partnering with Capital One to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals. This position is open to candidates who reside in and have the legal right to work in the country where the job is located. Company Name: Capital One Job DescriptionLocations: VA - McLean, United States of America, McLean, VirginiaDistinguished Engineer - Data Architecture Come join my teams in the Enterprise Data & Machine Learning group to build a highly scalable, well governed, data ecosystem that scales across 1000's of AWS accounts, tens of thousands of database instances, and millions of files stored across enterprise. You will also have the opportunity to shape the future of the platform that exchanges terabytes of data daily between Capital One and partners. Distinguished Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions. Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and inner source solutions where possible Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: Bachelor's Degree At least 7 years of Data Architecture or Enterprise Architecture experience At least 5 years of experience in design patterns At least 5 years of AWS cloud experience At least 3 years of experience building data products At least 3 years of experience with enterprise level data governance Preferred Qualifications: Masters' Degree 8+ years of data governance, data access, data lineage, data monitoring, and security controls experience 7+ years of experience developing in Python, Java, Scala or Node 6+ years of experience dealing with large number of cross AWS account communications 5+ years of experience in software architecture 3+ years of rich experience in modern database technology evaluation and data modeling 3+ years of experience in building highly resilient distributed data systems 3+ years in data engineering including experience in distributed data pipelines and test data engineering 3+ years of experience in Agile practices 1+ year of experience with developing strategy and implementing target architectures AWS Solution Architect - Professional or AWS Certified Data Analytics - Specialty certified Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $269,400 - $307,500 for Distinguished Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Data Engineer on the Data Enablement team, you'll help build the infrastructure that powers how teams across DraftKings discover, understand, and trust their data. You'll design scalable solutions to improve metadata accuracy, data quality, and governance ensuring analytics and reporting are not only reliable but impactful. This role sits at the intersection of data engineering and usability, giving you the chance to shape how data is documented, monitored, and accessed across the business. You'll collaborate with engineering and business partners alike to unlock new ways of delivering trusted data at scale. What You'll Do Build and support scripts, APIs, and data integrations that connect internal tools and data sources. Partner with Data Engineering, IT, and business teams to help implement data quality rules, monitoring, and alerting processes. Contribute to the curation and maintenance of the enterprise data catalog, helping ensure metadata is accurate, discoverable, and useful for end users. Support data governance efforts focused on protecting customer personal information, helping ensure data is handled, documented, and used responsibly across data platforms. Help define and implement reusable patterns for collecting, validating, and maintaining metadata across data platforms. Contribute to foundational work that supports DraftKings' Semantic Data Layer, including consistent definitions, lineage, and metadata that can be leveraged by analytics tools and AI-powered experiences. What You'll Bring Bachelor's Degree in Computer Science or any suitable combination of education, experience, and training. At least one year of working with data pipelines and integrations using Python. Familiarity with analyzing data flows and dependencies, and contributing to reliable data solutions. Exposure to modern data platforms and tools such as Snowflake, Databricks, Kafka, Terraform, PagerDuty, Datadog, Jira, Confluence, and Bitbucket. Working knowledge of data warehousing concepts, data lakes, and basic data modeling principles. Familiarity with ETL/ELT concepts and data pipeline development. Interest in how metadata, semantics, and governance enable AI-driven analytics and intelligent data discovery. Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 101,600.00 USD - 127,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Senior Data Scientist Engineer, you'll join a high-impact team solving some of the most complex analytical challenges in sports and entertainment. You'll work closely with machine learning engineers to develop new product capabilities and uncover insights from massive datasets using our advanced infrastructure. In this role, you'll apply advanced analytics and machine learning to create innovative solutions that drive business outcomes and shape the future of our products. What You'll Do: * Lead end-to-end modeling projects to improve customer engagement and retention, from ideation to production deployment. * Build, test, and optimize machine learning models to forecast user behavior, personalize promotions, and enhance Casino product engagement. * Partner with engineers, analysts, product managers, and marketers to translate insights into scalable solutions embedded within customer-facing systems. * Mentor junior data scientists and share modeling and engineering best practices across the team. * Clearly communicate findings and the impact of your models to stakeholders to influence product and marketing strategy. What You'll Bring: * Bachelor's degree or advanced degree in Data Science, Computer Science, Statistics, or related discipline * Proven experience applying machine learning and statistical modeling to solve real-world business problems, ideally in marketing or customer lifecycle contexts. * Strong proficiency in Python (or R) and experience working with large datasets using SQL and distributed computing platforms. * Ability to independently structure and execute data science projects and deliver business value through production-ready models. * Excellent communication and collaboration skills to work effectively across technical and non-technical teams. #LI-EN1 Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role.

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Senior Data Engineer, Platform you will be a key contributor to a data team centered around the mission of providing a best-in-class experience for our products and customers. In this role, you'll be leveraging your technical expertise in all aspects of "Infrastructure as Code" (IaC) with a focus on building ingestion frameworks that support real time and batch pipelines into our lakehouse with high availability. You will be working across teams, informing business decisions, helping to expand our platform, and define standards and best practices for platform use. What You'll Do * Demonstrate leadership and ownership of the platform to deliver services for projects and users. * Demonstrate expertise on platform and ingestion patterns that accommodate a variety of business and technical use cases * Leverage your strong communication skills to keep users informed and provide excellent quality of service. * Automate and manage ingestion pipeline provisioning, including connector setup, schema handling, metadata registration, and infrastructure components * Configure and manage monitoring/alerting around replication latency, performance (cluster & query), and Airflow. * Coordinate and collaborate with dependent infrastructure and AWS services to implement Snowflake integration with services, such as S3, IAM, SSO, etc. * Provide technical expertise, troubleshooting, and support for change management, governance compliance, internal audits, and remediations. What You'll Bring * A proven track record of working in AWS, Terraform, Python, Kubernetes, and database replication tools/services (e.g., AWS DMS). * Familiarity with Snowflake Snowpipes, Secure Data Sharing, and dynamic data masking. * The ability to leverage new technologies to test, build, and optimize data pipelines, transformations, architectures, and data sets. * Strong experience with SQL and knowledge in a variety of data engines (for example, SQL Server, MySQL, Amazon Aurora, Redshift) is a big plus. * Excellent communication skills and interpersonal skills to effectively communicate and collaborate with both business and technical teams. * Experience with real time or micro batch ingestion technologies (Kafka, Kinesis, Pub/Sub, or Dataflow) and data logging/monitoring tools (e.g., Datadog) is preferred. Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 116,800.00 USD - 146,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Jobs for Humanity is partnering with Capital One to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals. This position is open to candidates who reside in and have the legal right to work in the country where the job is located. Company Name: Capital One Job Description Locations: VA - McLean, United States of America, McLean, Virginia Distinguished Engineer - Data Architecture Come join my teams in the Enterprise Data & Machine Learning group to build a highly scalable, well governed, data ecosystem that scales across 1000's of AWS accounts, tens of thousands of database instances, and millions of files stored across enterprise. You will also have the opportunity to shape the future of the platform that exchanges terabytes of data daily between Capital One and partners. Distinguished Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions. Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and inner source solutions where possible Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: Bachelor's Degree At least 7 years of Data Architecture or Enterprise Architecture experience At least 5 years of experience in design patterns At least 5 years of AWS cloud experience At least 3 years of experience building data products At least 3 years of experience with enterprise level data governance Preferred Qualifications: Masters' Degree 8+ years of data governance, data access, data lineage, data monitoring, and security controls experience 7+ years of experience developing in Python, Java, Scala or Node 6+ years of experience dealing with large number of cross AWS account communications 5+ years of experience in software architecture 3+ years of rich experience in modern database technology evaluation and data modeling 3+ years of experience in building highly resilient distributed data systems 3+ years in data engineering including experience in distributed data pipelines and test data engineering 3+ years of experience in Agile practices 1+ year of experience with developing strategy and implementing target architectures AWS Solution Architect - Professional or AWS Certified Data Analytics - Specialty certified Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $269,400 - $307,500 for Distinguished Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Company DescriptionJobs for Humanity is partnering with Capital One to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals. This position is open to candidates who reside in and have the legal right to work in the country where the job is located. Company Name: Capital One Job DescriptionLocations: VA - McLean, United States of America, McLean, VirginiaDistinguished Engineer - Data Architecture Come join my teams in the Enterprise Data & Machine Learning group to build a highly scalable, well governed, data ecosystem that scales across 1000's of AWS accounts, tens of thousands of database instances, and millions of files stored across enterprise. You will also have the opportunity to shape the future of the platform that exchanges terabytes of data daily between Capital One and partners. Distinguished Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions. Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and inner source solutions where possible Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: Bachelor's Degree At least 7 years of Data Architecture or Enterprise Architecture experience At least 5 years of experience in design patterns At least 5 years of AWS cloud experience At least 3 years of experience building data products At least 3 years of experience with enterprise level data governance Preferred Qualifications: Masters' Degree 8+ years of data governance, data access, data lineage, data monitoring, and security controls experience 7+ years of experience developing in Python, Java, Scala or Node 6+ years of experience dealing with large number of cross AWS account communications 5+ years of experience in software architecture 3+ years of rich experience in modern database technology evaluation and data modeling 3+ years of experience in building highly resilient distributed data systems 3+ years in data engineering including experience in distributed data pipelines and test data engineering 3+ years of experience in Agile practices 1+ year of experience with developing strategy and implementing target architectures AWS Solution Architect - Professional or AWS Certified Data Analytics - Specialty certified Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $269,400 - $307,500 for Distinguished Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours Our Sports Modeling team comprises sports modeling experts and data science technologists, coming together to develop innovative products that deliver incremental value across our Sportsbook platform. As a Senior Data Scientist on the Sports Modeling team, you will develop models and data-driven solutions that enhance the Sportsbook experience for our users. In this role, you will work on implementing advanced sports models, refining data assets, and ensuring seamless integration into applications. What you'll do as a Senior Data Scientist, Football Create statistical and machine learning models and integrate them into data science applications. Collect and engineer sports data assets to assist in model development. Implement the sports models and pricing engines in Python. Create automatic tests to ensure model and pricing engine accuracy. Collaborate closely with Trading, Product, Engineering, and QA teams to move projects from ideation to deployment. Test data flows and model integration in a larger business context. Coach and support more junior data scientists within the team. What you'll bring Demonstrated passion for sports and a strong understanding of relevant leagues and their dynamics. A college degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or another related field. Proficiency in Python, with experience building statistical or machine learning models across various sports. Solid grasp of data science principles, statistical modeling techniques, and object-oriented programming concepts. Familiarity with tools and practices such as Kubernetes, Kafka, version control, and MLOps principles. Self-motivation and eagerness to expand knowledge and understanding of Sportsbook products and related technologies. Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 120,800.00 USD - 151,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.