Data Engineer jobs at Mastercard - 206 jobs

**Job Purpose** We are looking for individuals with a strong background in statistical modelling and financial engineering to join our research and rapid prototyping team at Intercontinental Exchange. We require candidates to have experience building, enhancing or supporting the pricing of fixed income securities. The role requires individuals to enhance and expand proprietary algorithms designed to bring transparency and standardization to the fixed income market. You will join a fast-paced team of quants and data scientists tasked with evolving modeling techniques to improve precision and scale across millions of bonds. You will also be tasked with researching new techniques of utilizing AI & ML to help further improve precision and operational efficiency. The role will require individuals to work with significantly large data sets spanning decades of historical data. **Responsibilities** + Learn, research, implement and maintain pricing models across fixed income asset classes + Work closely with product, engineering and evaluation teams to procure, analyze and validate data sources + Investigating Ad hoc issues and debugging pricing applications **Knowledge and Experience** + An understanding of fixed income instruments + Strong communications skills + Hands on experience utilizing Python, C++, SQL, Shell Scripting, R + 3+ years of experience doing quantitative analysis + Master's or higher in Computer Science, Math, Physics, Engineering, or related quantitative field, PhD preferred + Experience using AI & ML techniques to solve complex multi-dimensional problems preferred **New York Base Salary Range** The expected base salary for this role, if located in New York, is between $120,000 - 172,300 USD. The base salary range does not include Intercontinental Exchange's incentive compensation. While we provide this range as general guidance, at ICE we compensate employees based on the skillset and experience of the individual. Regular full-time ICE employees are eligible for a suite of competitive employee benefits, including healthcare coverage (medical, dental and vision), a 401(k) plan, life insurance, time off, and paid leave for qualifying circumstances. Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.

Job Purpose We are looking for individuals with a strong background in statistical modelling and financial engineering to join our research and rapid prototyping team at Intercontinental Exchange. We require candidates to have experience building, enhancing or supporting the pricing of fixed income securities. The role requires individuals to enhance and expand proprietary algorithms designed to bring transparency and standardization to the fixed income market. You will join a fast-paced team of quants and data scientists tasked with evolving modeling techniques to improve precision and scale across millions of bonds. You will also be tasked with researching new techniques of utilizing AI & ML to help further improve precision and operational efficiency. The role will require individuals to work with significantly large data sets spanning decades of historical data. Responsibilities * Learn, research, implement and maintain pricing models across fixed income asset classes * Work closely with product, engineering and evaluation teams to procure, analyze and validate data sources * Investigating Ad hoc issues and debugging pricing applications Knowledge and Experience * An understanding of fixed income instruments * Strong communications skills * Hands on experience utilizing Python, C++, SQL, Shell Scripting, R * 3+ years of experience doing quantitative analysis * Master's or higher in Computer Science, Math, Physics, Engineering, or related quantitative field, PhD preferred * Experience using AI & ML techniques to solve complex multi-dimensional problems preferred New York Base Salary Range The expected base salary for this role, if located in New York, is between $120,000 - 172,300 USD. The base salary range does not include Intercontinental Exchange's incentive compensation. While we provide this range as general guidance, at ICE we compensate employees based on the skillset and experience of the individual. Regular full-time ICE employees are eligible for a suite of competitive employee benefits, including healthcare coverage (medical, dental and vision), a 401(k) plan, life insurance, time off, and paid leave for qualifying circumstances. Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description Velocity Black by Capital One harnesses the power of artificial intelligence, the warmth of human experts and the convenience of the latest interfaces to help high-performance people actualize the full potential of their lives. It's concierge, reimagined for the digital age. By harnessing 24/7 chat, AI, and mobile payments, we help our customers do more and be more in the digital age. From access to the hottest restaurants to guaranteed upgrades at the world's finest resorts. Make a custom request through the app and you will be chatting to our team within 1 minute, 24/7/365. Velocity Black is on a mission to leverage technology to improve our operational efficacy and provide an extraordinary member experience. The Velocity Black AI and ML team is building the models that help provide personalized recommendations for our members. Our solutions are both: Reactive: Match member requests to the best possible options based on their stated request parameters, preferences, and historical behavior, as well as incorporating the expertise of our human agents. Proactive: Surface tailored, curated recommendations in-app, where content is filtered and personalized to each individual member, anticipating their needs and inspiring new booking experiences with us. The team is a combination of product managers, engineers, business analysts, and data scientists working in tandem to building AI/ML solutions from the ground up to help scale and improve our Velocity Black services. We are looking for someone passionate about digital servicing, customer experience, and personalization to work on our Velocity Black Concierge product. Role Description In this role, you will: Lead the design, development, and maintenance of personalization and recommendation models. Apply modern AI/ML methods (e.g. collaborative filtering, ensemble retrievers, embeddings, neural networks, LLM as a judge, etc.) to optimize and elevate member experiences Collaborate with product/business and engineering to integrate models into our platform, including model registration and ongoing measurement. Develop evaluation frameworks to monitor performance, bias, and accuracy of recommendations. Champion data-driven decision making across the team. The Ideal Candidate is: Customer first. You love the process of analyzing and creating, and you care about the user of the systems you create. You know at the end of the day it's about providing tooling to support our agents and enhancements to delight our customers. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and brainstorming various technical methods and designs to find the best solutions. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo to advance us to the most cutting edge methods. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with all things model development, including from pulling together model input data from various sources to deciding on the appropriate methodology to helping to implement use cases within thoughtful architecture designs. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. A data guru. “Big data” doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics At least 1 years of experience leveraging open source programming languages for large scale data analysis At least 1 year of experience working with machine learning At least 1 year of experience utilizing relational databases Preferred Qualifications: PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) Strong proficiency in Python and SQL for large scale data analysis At least 1 year of experience preparing and transforming large, messy, or sparse datasets for modeling At least 1 year of experience designing, training, and deploying large-scale models in production At least 1 year of experience in model lifecycle management and ML ops practices (monitoring, feature stores, retraining, experimentation, and A/B testing) At least 1 year of experience collaborating cross-functionally with product and engineering to translate business problems into ML solutions Familiarity with sophisticated ML approaches to personalization models or recommendation systems Demonstrated ability to influence stakeholders and lead technical strategy Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. Capital One is open to hiring a Remote Employee for this opportunity 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. Remote (Regardless of Location): $175,800 - $200,700 for Mgr, Data Science McLean, VA: $193,400 - $220,700 for Mgr, Data Science 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. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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 RecruitingAccommodation@capitalone.com. 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 ********************** 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).

Salary Range\: $85,000.00 to $150,000.00 annually + bonus + benefits The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors. We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include: Competitive base salaries Bonus incentives 6% Company Match on retirement savings plan Free financial coaching and financial well-being support Comprehensive medical, dental, vision, life insurance, and disability benefits Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities For a full list of Team Amex benefits, visit our Colleague Benefits Site. American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually. US Job Seekers/Employees - Click here to view the “Know Your Rights” poster and the Pay Transparency Policy Statement. If the links do not work, please copy and paste the following URLs in a new browser window\: https\://********************************** to access the three posters. Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions. You Lead the Way. We've Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you'll learn and grow as we help you create a career journey that's unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, you'll be recognized for your contributions, leadership, and impact-every colleague has the opportunity to share in the company's success. Together, we'll win as a team, striving to uphold our company values and powerful backing promise to provide the world's best customer experience every day. And we'll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex and let's lead the way together. As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers' digital lives. Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems. Amex offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source. And because we understand the importance of keeping your skill fresh and relevant, we give you dedicated time to invest in your professional development. Find your place in technology on #TeamAmex. Let's share success. The Global Infrastructure Cost Transparency team, a part of Global Infrastructure Product Services, aims to establish and reinforce a culture of effective metrics, data-driven business processes, architecture simplification, and cost transparency. A successful Cost Transparency Data Engineer knows that delivering on that promise takes foresight, planning and agility. Metric-driven cost optimization, workload-specific forecasting and robust cost modeling are among the tools and practices required to drive accountability for delivering business solutions that derive maximum value. The result will provide a solid foundation for decision-making around cost, quality and speed. If you have proficiency and experience with designing and building these tools, join our team and build a career with us. Let's build on what you know. If you have deep experience with cost transparency, allocation, show back, and optimization, you'll find a fit within our enterprise-wide Global Infrastructure Cost Transparency team responsible for establishing consistent on-premises workload attribution, unit economics and business value metrics. Here's just some of what you'll do: Design and develop the Technology Infrastructure product cost model and Apptio integration for consistent on-premises workload attribution, unit economics and business value metrics Design, develop, and maintain reports, processes and KPIs that provide detailed usage statistics and cost correlations across the multi-product infrastructure environment Build data models for comparisons of deployments on various platforms, cause and effect scenarios, etc., with the goal of providing reliable data to underpin business value and cost stewardship for enterprise deployments, platform growth, and product lifecycle strategies Function as member of an agile team by contributing to software builds through consistent development practices (tools, common components, and documentation) Debug basic software components and identify code defects for remediation Enable the deployment, support, and monitoring of software across test, integration, and production environment Influence team members with creative changes and continuous improvements Qualifications Are you up for the challenge? Here's what you should have: Keen ability and interest to build financial strategies, frameworks and tools from the ground up Ability to demonstrate increased self-reliance to achieve team goals Familiarity with fundamentals of Technology Cost Management Hands-on experience with ApptioOne and TBM Studio Configuration Demonstrable software development experience in a professional environment and/or comparable experience such as: Familiarity with Agile or DevOps Experience with API design, either as a provider or consumer Confirmed experience with object-oriented design and coding with variety of languages; PowerShell and SQL preferred Experience with Power BI or Tableau is a plus, but not required Backend experience with SQL Server (preferred), or other equivalent relational databases Hands-on expertise with distributed (multi-tiered) systems and relational database design, development, troubleshooting and automated testing Excellent communication skills Bachelor's Degree in Computer Science, Information Technology, Data Science or related experience

Distinguished Data 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. **About the Team:** You will join the Data Storage & Consumption Platform team within Enterprise Data, serving as a Senior Director-level Individual Contributor (IC). This role demands a visionary and hands-on leader to drive the technical strategy for consumption platforms leveraged by all lines of business. Your focus is on maturing platform scalability, Operational Excellence, Performance, and Resiliency. We require deep expertise in AWS infrastructure ,Lakehouse architecture, Snowflake, Databricks platform and BI tools to mature these enterprise-scale systems and execute technical strategy. **Our Sr. Distinguished Engineers Are:** + 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 **Responsibilities:** + Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in + Identify, benchmark and contribute towards opportunities to improve system availability, security, reliability, cost optimization and performance + 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 innersource 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 experience in software engineering or data engineering + At least 5 years of people management experience + At least 3 years of experience with Big Data and data streaming + At least 3 years of experience with cloud-based data platforms (Amazon Web Services, Microsoft Azure, Google Cloud Platform) + At least 9 years of experience in data engineering writing production quality code with a focus on distributed systems **Preferred Qualifications:** + Masters' Degree + 10+ years of experience in data engineering + 3+ years of experience implementing big data frameworks and processing solutions + 3+ years of data modeling experience + 2+ years of experience with ontology standards for defining a domain + 2+ years of experience using Python, SQL or Scala + 1+ year of experience deploying machine learning models + 5+ years of experience with Agile engineering practices + 8+ years in-depth experience with the Hadoop stack (MapReduce, Pig, Hive, Hbase) + 8+ years experience with NoSQL implementation (Mongo, Cassandra) + 8+ years experience developing Java based software solutions + 8+ years experience in at least one scripting language + 8+ years experience developing software solutions to solve complex business problems + 8+ years experience with Relational Database Systems and SQL + 8+ years experience designing, developing, and implementing ETL + 8+ years experience with UNIX/Linux including basic commands and shell scripting + 8+ years of experience providing technical leadership + 8+ years of experience leading the full life-cycle of IT development and platform support **_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. Chicago, IL: $286,200 - $326,700 for Sr. Dir, Data Engineering McLean, VA: $314,800 - $359,300 for Sr. Dir, Data Engineering New York, NY: $343,400 - $392,000 for Sr. Dir, Data Engineering Richmond, VA: $286,200 - $326,700 for Sr. Dir, Data Engineering San Francisco, CA: $343,400 - $392,000 for Sr. Dir, Data Engineering 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. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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 RecruitingAccommodation@capitalone.com . 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 ********************** 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).

Distinguished Data 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. **About the Team:** You will join the Data Pipelines team within Enterprise Data, serving as a Senior Director-level Individual Contributor (IC). This role demands a visionary and hands-on leader to drive the technical strategy for data pipelines leveraged by all lines of business inclusive of both internal and external data availability. Your focus is on driving innovation, best practices, engineering / delivery acceleration, platform scalability, Operational Excellence, Performance, Resiliency, and being a beacon for other ICs. We require deep expertise in AWS infrastructure, Lakehouse architecture, Kafka, Flink, Spark, Snowflake, and Databricks mature these enterprise-scale systems and execute technical strategy. You will be both visionary, influential, and hands-on writing Python, SQL, Java, and/or Scala code. **Our Sr. Distinguished Engineers Are:** + 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 **Responsibilities:** + 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 innersource 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 9 years of experience in data engineering + At least 5 years of experience in data architecture + At least 3 years of experience in building applications in AWS + At least 3 years of experience with Python, Scala, Java, or SQL + At least 3 years of experience with Flink or Spark + At least 3 years of experience with Kafka + At least 3 years of experience with Delta Lake or Iceberg + At least 3 years of experience building performant, resilient Big Data solutions **Preferred Qualifications:** + Masters' Degree + 10+ years of experience in data engineering + 3+ years of data modeling experience + 2+ years of experience with ontology standards for defining a domain + 3+ years of experience deploying machine learning models + 1+ year of experience deploying Agentic AI solutions + 3+ years of experience implementing big data processing solutions on AWS or other cloud providers + 3+ years of experience with Snowflake or Databricks + 3+ years of experience with Data Observability tooling (lineage, data quality, monitoring or alerting) **_Capital One will consider sponsoring a new qualified applicant for employment authorization for this positio_** 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. McLean, VA: $314,800 - $359,300 for Sr Distinguished Data Engineer New York, NY: $343,400 - $392,000 for Sr Distinguished Data 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. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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 RecruitingAccommodation@capitalone.com . 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 ********************** 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).

Distinguished Data 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. **About the Team:** Capital One is seeking a Distinguished Data Engineer, to work in our Credit Card Technology Data Engineering Team and build the future of financial services. We are a fast-paced, mission-driven group responsible for managing and leveraging petabytes of sensitive, real-time and batch data that powers everything from fraud detection models and personalized reward systems to regulatory compliance reporting. As a leader in Data Engineering, you won't just move data; you'll architect high-availability that directly influence millions of customer experiences and secure billions in transactions daily. You'll own critical data domains end-to-end, working cross-functionally with ML Scientists, Product Managers, and Business Analysts teams etc to solve complex, high-stakes problems with cutting-edge cloud technologies (like Snowflake, Kafka, and AWS). If you thrive on technical challenges, demand data integrity, and want your work to have a clear, measurable impact on the bank's core profitability and security, this is your team. This leader must have the ability to attract and recruit the industry's best talent, and simultaneously have the technical chops to ensure that we build compelling, customer-oriented solutions in an iterative methodology. Success in the role requires an innovative mind, a proven track record of delivering next generation software and data products, rigorous analytical skills, and a passion for delivering customer value through automation, machine learning and predictive analytics. **Our Distinguished Engineers Are:** + 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 **Responsibilities:** + 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 innersource 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 experience in data engineering + At least 3 years of experience in data architecture + At least 2 years of experience building applications in AWS **Preferred Qualifications:** + Masters' Degree + 9+ years of experience in data engineering + 3+ years of data modeling experience + 2+ years of experience with ontology standards for defining a domain + 2+ years of experience using Python, SQL or Scala + 1+ year of experience deploying machine learning models + 3+ years of experience implementing big data processing solutions on AWS **_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. Chicago, IL: $244,700 - $279,200 for Distinguished Data Engineer McLean, VA: $269,100 - $307,200 for Distinguished Data Engineer New York, NY: $293,600 - $335,100 for Distinguished Data Engineer Richmond, VA: $244,700 - $279,200 for Distinguished Data Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished Data 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. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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 RecruitingAccommodation@capitalone.com . 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 ********************** 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).

Distinguished Data 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. About the Team: You will join the Data Storage & Consumption Platform team within Enterprise Data, serving as a Senior Director-level Individual Contributor (IC). This role demands a visionary and hands-on leader to drive the technical strategy for consumption platforms leveraged by all lines of business. Your focus is on maturing platform scalability, Operational Excellence, Performance, and Resiliency. We require deep expertise in AWS infrastructure ,Lakehouse architecture, Snowflake, Databricks platform and BI tools to mature these enterprise-scale systems and execute technical strategy. Our Sr. Distinguished Engineers Are: * 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 Responsibilities: * Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in * Identify, benchmark and contribute towards opportunities to improve system availability, security, reliability, cost optimization and performance * 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 innersource 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 experience in software engineering or data engineering * At least 5 years of people management experience * At least 3 years of experience with Big Data and data streaming * At least 3 years of experience with cloud-based data platforms (Amazon Web Services, Microsoft Azure, Google Cloud Platform) * At least 9 years of experience in data engineering writing production quality code with a focus on distributed systems Preferred Qualifications: * Masters' Degree * 10+ years of experience in data engineering * 3+ years of experience implementing big data frameworks and processing solutions * 3+ years of data modeling experience * 2+ years of experience with ontology standards for defining a domain * 2+ years of experience using Python, SQL or Scala * 1+ year of experience deploying machine learning models * 5+ years of experience with Agile engineering practices * 8+ years in-depth experience with the Hadoop stack (MapReduce, Pig, Hive, Hbase) * 8+ years experience with NoSQL implementation (Mongo, Cassandra) * 8+ years experience developing Java based software solutions * 8+ years experience in at least one scripting language * 8+ years experience developing software solutions to solve complex business problems * 8+ years experience with Relational Database Systems and SQL * 8+ years experience designing, developing, and implementing ETL * 8+ years experience with UNIX/Linux including basic commands and shell scripting * 8+ years of experience providing technical leadership * 8+ years of experience leading the full life-cycle of IT development and platform support 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. Chicago, IL: $286,200 - $326,700 for Sr. Dir, Data Engineering McLean, VA: $314,800 - $359,300 for Sr. Dir, Data Engineering New York, NY: $343,400 - $392,000 for Sr. Dir, Data Engineering Richmond, VA: $286,200 - $326,700 for Sr. Dir, Data Engineering San Francisco, CA: $343,400 - $392,000 for Sr. Dir, Data Engineering 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. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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 RecruitingAccommodation@capitalone.com. 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 ********************** 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).

Distinguished Data 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. About the Team: You will join the Data Pipelines team within Enterprise Data, serving as a Senior Director-level Individual Contributor (IC). This role demands a visionary and hands-on leader to drive the technical strategy for data pipelines leveraged by all lines of business inclusive of both internal and external data availability. Your focus is on driving innovation, best practices, engineering / delivery acceleration, platform scalability, Operational Excellence, Performance, Resiliency, and being a beacon for other ICs. We require deep expertise in AWS infrastructure, Lakehouse architecture, Kafka, Flink, Spark, Snowflake, and Databricks mature these enterprise-scale systems and execute technical strategy. You will be both visionary, influential, and hands-on writing Python, SQL, Java, and/or Scala code. Our Sr. Distinguished Engineers Are: * 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 Responsibilities: * 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 innersource 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 9 years of experience in data engineering * At least 5 years of experience in data architecture * At least 3 years of experience in building applications in AWS * At least 3 years of experience with Python, Scala, Java, or SQL * At least 3 years of experience with Flink or Spark * At least 3 years of experience with Kafka * At least 3 years of experience with Delta Lake or Iceberg * At least 3 years of experience building performant, resilient Big Data solutions Preferred Qualifications: * Masters' Degree * 10+ years of experience in data engineering * 3+ years of data modeling experience * 2+ years of experience with ontology standards for defining a domain * 3+ years of experience deploying machine learning models * 1+ year of experience deploying Agentic AI solutions * 3+ years of experience implementing big data processing solutions on AWS or other cloud providers * 3+ years of experience with Snowflake or Databricks * 3+ years of experience with Data Observability tooling (lineage, data quality, monitoring or alerting) Capital One will consider sponsoring a new qualified applicant for employment authorization for this positio 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. McLean, VA: $314,800 - $359,300 for Sr Distinguished Data Engineer New York, NY: $343,400 - $392,000 for Sr Distinguished Data 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. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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 RecruitingAccommodation@capitalone.com. 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 ********************** 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).

Distinguished Data 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. About the Team: Capital One is seeking a Distinguished Data Engineer, to work in our Credit Card Technology Data Engineering Team and build the future of financial services. We are a fast-paced, mission-driven group responsible for managing and leveraging petabytes of sensitive, real-time and batch data that powers everything from fraud detection models and personalized reward systems to regulatory compliance reporting. As a leader in Data Engineering, you won't just move data; you'll architect high-availability that directly influence millions of customer experiences and secure billions in transactions daily. You'll own critical data domains end-to-end, working cross-functionally with ML Scientists, Product Managers, and Business Analysts teams etc to solve complex, high-stakes problems with cutting-edge cloud technologies (like Snowflake, Kafka, and AWS). If you thrive on technical challenges, demand data integrity, and want your work to have a clear, measurable impact on the bank's core profitability and security, this is your team. This leader must have the ability to attract and recruit the industry's best talent, and simultaneously have the technical chops to ensure that we build compelling, customer-oriented solutions in an iterative methodology. Success in the role requires an innovative mind, a proven track record of delivering next generation software and data products, rigorous analytical skills, and a passion for delivering customer value through automation, machine learning and predictive analytics. Our Distinguished Engineers Are: 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 Responsibilities: 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 innersource 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 experience in data engineering At least 3 years of experience in data architecture At least 2 years of experience building applications in AWS Preferred Qualifications: Masters' Degree 9+ years of experience in data engineering 3+ years of data modeling experience 2+ years of experience with ontology standards for defining a domain 2+ years of experience using Python, SQL or Scala 1+ year of experience deploying machine learning models 3+ years of experience implementing big data processing solutions on AWS 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. Chicago, IL: $244,700 - $279,200 for Distinguished Data Engineer McLean, VA: $269,100 - $307,200 for Distinguished Data Engineer New York, NY: $293,600 - $335,100 for Distinguished Data Engineer Richmond, VA: $244,700 - $279,200 for Distinguished Data Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished Data 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. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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 RecruitingAccommodation@capitalone.com. 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 ********************** 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).

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. **Team Description:** The Alternate Data Strategy team works on bringing new innovative data for underwriting and decisioning. This role in the Alternative Data Strategy team, focuses on developing innovative and reliable solutions for evaluating alternative datasets, engineering features, ensuring data integrity, and enabling impact. The scope includes feature engineering, designing scalable systems for data processing and monitoring, and building challenger models to enhance existing ones across US Card using new data and involves cross-functional collaboration and various learning opportunities. **Role Description** **In this role, you will:** + Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love + Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data + Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation + Flex your interpersonal skills to translate the complexity of your work into tangible business goals **The Ideal Candidate is:** + Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. + A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. + Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. + A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. **Basic Qualifications:** + Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: + A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics + A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics + A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics + At least 1 year of experience leveraging open source programming languages for large scale data analysis + At least 1 year of experience working with machine learning + At least 1 year of experience utilizing relational databases **Preferred Qualifications:** + PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics + At least 1 year of experience working with AWS + At least 4 years' experience in Python, Scala, or R for large scale data analysis + At least 4 years' experience with machine learning + At least 4 years' experience with SQL 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. McLean, VA: $197,300 - $225,100 for Mgr, Data Science New York, NY: $215,200 - $245,600 for Mgr, Data Science 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. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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 RecruitingAccommodation@capitalone.com . 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 ********************** 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).

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. The _External Data Strategy_ team builds the data pipelines, advanced analytics, and models that enable Capital One to understand our customer's financial lives. We lead the full data lifecycle from sourcing new data, designing and implementing features pipelines, to providing support to our data users across the business. We leverage Python, Spark, SQL, Databricks, and other AWS capabilities to deliver powerful data for our customers. **In this role, you will:** + Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver data and insights that drive the business + Leverage a broad stack of technologies - Python, Conda, AWS, Databricks, Spark, and more - to reveal the insights hidden within huge volumes of data + Build machine learning models and data pipelines through all phases of development, from design through training, evaluation, validation, and implementation + Develop deep subject matter expertise in consumer financial data and how that data enables Capital One to make the right decisions for our customers. + Lead a team of 10-15 data scientists as a leader-of-leaders by setting a strategic agenda, providing technical oversight and guidance, and developing talented individual contributors and managers. + Flex your interpersonal skills to translate the complexity of your work into tangible business goals **The Ideal Candidate is:** + Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. + A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. + Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. + A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. **Basic Qualifications:** + Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date : + A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 9 years of experience performing data analytics + A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 7 years of experience performing data analytics + A PHD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 4 years of experience performing data analytics + At least 4 years of experience leveraging open source programming languages for large scale data analysis + At least 4 years of experience working with machine learning + At least 4 years of experience utilizing relational databases **Preferred Qualifications:** + At least 3 year of experience working with AWS + At least 3 year of experience managing people + At least 5 years of experience in Python for large scale data analysis + At least 5 years of experience with machine learning + At least 5 years experience with Spark 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. McLean, VA: $269,100 - $307,200 for Dir, Data Science New York, NY: $293,600 - $335,100 for Dir, Data Science 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. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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 RecruitingAccommodation@capitalone.com . 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 ********************** 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).

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. **Team Description** The Emerging Payments organization develops and maintains innovative payment experiences for Capital One customers, including digital wallets, virtual card numbers, merchant checkout experiences, transaction intelligence, and new commercialization opportunities. Our data science team builds machine learning models that help our customers securely facilitate, control, and understand their spend. These models power customer-facing features and experiences that reach tens of millions of customers. We cleanse, enrich, and use large scale card and debit data from Capital One and, more recently, Discover, as well as national metadata datasets around merchants, places, and more. Leveraging the latest approaches and tools, we primarily work with models such as XGBoost, transformers, embeddings, and LLMs, using SQL, Python (and some Scala), tensorflow and pytorch, with Databricks, Snowflake, and other internal platforms and tools. **On any given day you'll be:** + Creating machine learning models from development through testing and validation to our 30+ million customers in production + Designing rich data visualizations to communicate complex ideas to customers or company leaders + Investigating the impact of new technologies on the future of mobile banking and the financial world of tomorrow **In this role, you will:** + Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product that customers love + Leverage a broad stack of technologies - SQL, Python, Conda, AWS, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data + Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation + Flex your interpersonal skills to translate the complexity of your work into tangible business goals **The Ideal Candidate is:** + Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. + Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. + Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. + Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. **Basic Qualifications:** + Currently has, or is in the process of obtaining **one of the following** with an expectation that the required degree will be obtained on or before the scheduled start date: + A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics + A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics + A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics + At least 1 year of experience leveraging open source programming languages for large scale data analysis + At least 1 year of experience working with machine learning + At least 1 year of experience utilizing relational databases **Preferred Qualifications:** + PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data science. Bonus points for experience with transformers + At least 4 years of experience in Python, Scala for large scale data analysis + At least 4 years of experience with machine learning + At least 4 years of experience with SQL + At least 1 year of experience working with AWS **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, NY: $215,200 - $245,600 for Mgr, Data Science 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. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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 RecruitingAccommodation@capitalone.com . 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 ********************** 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).

Business Area Data Ref # 10048154 **Description & Requirements** Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes. Our Team The Ownership Data team is responsible for the data management of shareholding disclosures for institutional investors and insiders that fuels functions like HDS. In addition, the group maintains computed statistics like Equity Float and Insider Ownership for publicly listed companies. Overall, this aggregated, cleansed, and normalized data fuels analytics, supports News, and is heavily relied on by market players to understand market sentiment and drive investment decisions. The group is dedicated to crafting best-in-class ownership analytics and holdings data while constantly looking to enhance and expand our existing offerings. What's the Role? The Ownership Data team is seeking a driven and diligent Data Engineer who will be a problem solver, an effective communicator, and versatile at balancing technical expertise with a product-focused approach. In this role, you will be diving deep into the different types of Ownership disclosures to identify and address the modeling needs of the datasets and ensure our data is fit-for-purpose. You will use the tech stack to design and implement efficient data ingestion workflows using programming, machine learning, and AI. As a Senior Data Management Professional, you will help to develop our business outcome-based data strategies to optimize the value of data for our customers and improve data operations. We'll Trust You To: + Own the end-to-end data ingestion of Ownership datasets including long positions and short position holdings data, transactional data, and derived datasets such as the free float field + Analyze internal processes to find opportunities for improvement, as well as devise and implement innovative solutions + Communicate and collaborate across team members and complementary teams including Engineering, Product, Enterprise Data, and Bloomberg Intelligence + Design data models to create data storage solutions for our raw and enriched data and contribute to our data alignment strategy by following the FAIR data principles + Develop data quality strategies for the Ownership datasets and implement scalable, lasting solutions + Contribute to the creation of standard methodologies and guidelines for data management and governance + Use data visualization skills to report on results of ongoing operations and projects, as required + Keep up with the industry trends, standards, and innovation in the data quality domain + Work in a fast paced, multifaceted & collaborative setting You'll Need To Have: + A BA/BS degree or higher in Computer Science, Mathematics, Finance or relevant data technology field, or equivalent professional work experience + 4+ years' experience in data analysis, financial market research, and/or information technology + Proficiency using scripting languages (preferably Python) to build pre-processing services that can be integrated in our data pipelines + A solid grasp of data modeling principles and technologies to perform requirements analysis, conceptual, logical, and physical modeling + Experience profiling new datasets, and implementing high volume, low-latency ETL pipelines + Understanding of quality assurance and quality control from a data and product perspective + A passion for data and a demonstrated drive to set and uphold standard methodologies for data management + Proven track record of effective project management and a customer focused mentality + Good interpersonal skills across various partner groups - Engineering, Data Analysts, Product Managers, Senior Management We'd Love To See: + Working knowledge of shareholder filings and Equity Float and how they're used by financial markets players + Familiarity with use cases of advanced statistical methods such as Machine Learning, Artificial Intelligence, and Natural language Processing + Experience designing optimal database structures + Experience working in an Agile development team Salary Range = 110000 - 190000 USD Annually + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns. Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email amer_*********************

Business Area Data Ref # 10047917 **Description & Requirements** Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint a complete picture for our clients-around the clock and around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology-quickly and accurately. We apply product thinking, domain expertise, and technical insight to continuously improve our data offerings, ensuring they remain reliable, scalable, and fit-for-purpose in a fast-changing landscape. **Our Team:** The Private Deals Data team is responsible for Bloomberg's private transactions data model-an essential foundation for understanding global private markets. This data defines and enriches private companies, linking them to. Private company data plays a critical role in research, investment analysis, compliance, and due diligence. Integrating diverse datasets with our core private company data helps clients uncover insights, validate exposures, monitor evolving risks, and identify new opportunities in opaque and fast-growing markets. **The Role:** We are seeking a Data Engineer to design, build, and maintain the data pipelines, models, and integrations that power Bloomberg's private company data ecosystem. This role focuses on embedding M&A and Private Market data into Bloomberg's semantic model and analytical frameworks such as BQL-enabling richer discoverability and seamless integration across client workflows. You will develop robust ETL processes, manage schema mappings, and implement scalable data transformations to ensure consistency and reliability. You'll also contribute to enhancing Bloomberg's private company valuation product by extending the data model, implementing versioning, and ensuring data provenance is fully traceable. Working closely with Product, Engineering, and Data teams, you'll play a central role in shaping the technical foundation that underpins Bloomberg's evolving private market offerings. **You Will:** + Design, build, and maintain data pipelines and models to integrate M&A and Private data into Bloomberg's semantic model and BQL. + Perform schema mapping, normalization, and transformation to align diverse datasets with internal standards. + Implement scalable ETL processes ensuring completeness, accuracy, and transparency of data. + Extend the valuation data model to support company-level valuations, versioning, and auditability. + Partner with Product and Data teams to define and implement data quality and consistency checks. + Develop documentation and reusable frameworks for data ingestion and integration. + Support discoverability and search capabilities by ensuring data is optimized for BQL and function-layer exposure. + Contribute to continuous improvement of data engineering practices and tools. **You'll Need to Have:** _*We use years of experience as a guide but will consider all candidates who can demonstrate the_ _required skills._ + 3+ years of experience in data engineering, software engineering, or related fields. + Strong programming skills in Python, Java, or Scala, with proficiency in data processing frameworks (e.g., Spark, Flink, or Beam). + Solid understanding of data modeling, schema design, and ETL architecture. + Experience working with relational and columnar data stores (e.g., SQL, Postgres,BigQuery). + Familiarity with semantic data models or knowledge graphs. + Understanding of data versioning, provenance tracking, and metadata management. + Strong problem-solving and debugging skills with attention to scalability and performance. + Comfort working in collaborative, cross-functional environments. **We'd Love to See:** + Experience integrating financial or private market data. + Familiarity with Bloomberg Query Language (BQL) or similar query interfaces. + Understanding of valuation data, company financials, or transaction modeling. + Experience working in Agile teams. + Passion for building high-quality, transparent, and auditable data systems. **Does this sound like you?** Apply if you think we're a good match. We'll get in touch to let you know what the next steps are! Salary Range = 110000 - 190000 USD Annually + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns. Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email amer_*********************

Description & Requirements Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes. Our Team The Ownership Data team is responsible for the data management of shareholding disclosures for institutional investors and insiders that fuels functions like HDS. In addition, the group maintains computed statistics like Equity Float and Insider Ownership for publicly listed companies. Overall, this aggregated, cleansed, and normalized data fuels analytics, supports News, and is heavily relied on by market players to understand market sentiment and drive investment decisions. The group is dedicated to crafting best-in-class ownership analytics and holdings data while constantly looking to enhance and expand our existing offerings. What's the Role? The Ownership Data team is seeking a driven and diligent Data Engineer who will be a problem solver, an effective communicator, and versatile at balancing technical expertise with a product-focused approach. In this role, you will be diving deep into the different types of Ownership disclosures to identify and address the modeling needs of the datasets and ensure our data is fit-for-purpose. You will use the tech stack to design and implement efficient data ingestion workflows using programming, machine learning, and AI. As a Senior Data Management Professional, you will help to develop our business outcome-based data strategies to optimize the value of data for our customers and improve data operations. We'll Trust You To: * Own the end-to-end data ingestion of Ownership datasets including long positions and short position holdings data, transactional data, and derived datasets such as the free float field * Analyze internal processes to find opportunities for improvement, as well as devise and implement innovative solutions * Communicate and collaborate across team members and complementary teams including Engineering, Product, Enterprise Data, and Bloomberg Intelligence * Design data models to create data storage solutions for our raw and enriched data and contribute to our data alignment strategy by following the FAIR data principles * Develop data quality strategies for the Ownership datasets and implement scalable, lasting solutions * Contribute to the creation of standard methodologies and guidelines for data management and governance * Use data visualization skills to report on results of ongoing operations and projects, as required * Keep up with the industry trends, standards, and innovation in the data quality domain * Work in a fast paced, multifaceted & collaborative setting You'll Need To Have: * A BA/BS degree or higher in Computer Science, Mathematics, Finance or relevant data technology field, or equivalent professional work experience * 4+ years' experience in data analysis, financial market research, and/or information technology * Proficiency using scripting languages (preferably Python) to build pre-processing services that can be integrated in our data pipelines * A solid grasp of data modeling principles and technologies to perform requirements analysis, conceptual, logical, and physical modeling * Experience profiling new datasets, and implementing high volume, low-latency ETL pipelines * Understanding of quality assurance and quality control from a data and product perspective * A passion for data and a demonstrated drive to set and uphold standard methodologies for data management * Proven track record of effective project management and a customer focused mentality * Good interpersonal skills across various partner groups - Engineering, Data Analysts, Product Managers, Senior Management We'd Love To See: * Working knowledge of shareholder filings and Equity Float and how they're used by financial markets players * Familiarity with use cases of advanced statistical methods such as Machine Learning, Artificial Intelligence, and Natural language Processing * Experience designing optimal database structures * Experience working in an Agile development team Salary Range = 110000 - 190000 USD Annually + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns. Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

Description & Requirements Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint a complete picture for our clients-around the clock and around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology-quickly and accurately. We apply product thinking, domain expertise, and technical insight to continuously improve our data offerings, ensuring they remain reliable, scalable, and fit-for-purpose in a fast-changing landscape. Our Team: The Private Deals Data team is responsible for Bloomberg's private transactions data model-an essential foundation for understanding global private markets. This data defines and enriches private companies, linking them to. Private company data plays a critical role in research, investment analysis, compliance, and due diligence. Integrating diverse datasets with our core private company data helps clients uncover insights, validate exposures, monitor evolving risks, and identify new opportunities in opaque and fast-growing markets. The Role: We are seeking a Data Engineer to design, build, and maintain the data pipelines, models, and integrations that power Bloomberg's private company data ecosystem. This role focuses on embedding M&A and Private Market data into Bloomberg's semantic model and analytical frameworks such as BQL-enabling richer discoverability and seamless integration across client workflows. You will develop robust ETL processes, manage schema mappings, and implement scalable data transformations to ensure consistency and reliability. You'll also contribute to enhancing Bloomberg's private company valuation product by extending the data model, implementing versioning, and ensuring data provenance is fully traceable. Working closely with Product, Engineering, and Data teams, you'll play a central role in shaping the technical foundation that underpins Bloomberg's evolving private market offerings. You Will: * Design, build, and maintain data pipelines and models to integrate M&A and Private data into Bloomberg's semantic model and BQL. * Perform schema mapping, normalization, and transformation to align diverse datasets with internal standards. * Implement scalable ETL processes ensuring completeness, accuracy, and transparency of data. * Extend the valuation data model to support company-level valuations, versioning, and auditability. * Partner with Product and Data teams to define and implement data quality and consistency checks. * Develop documentation and reusable frameworks for data ingestion and integration. * Support discoverability and search capabilities by ensuring data is optimized for BQL and function-layer exposure. * Contribute to continuous improvement of data engineering practices and tools. You'll Need to Have: * We use years of experience as a guide but will consider all candidates who can demonstrate the required skills. * 3+ years of experience in data engineering, software engineering, or related fields. * Strong programming skills in Python, Java, or Scala, with proficiency in data processing frameworks (e.g., Spark, Flink, or Beam). * Solid understanding of data modeling, schema design, and ETL architecture. * Experience working with relational and columnar data stores (e.g., SQL, Postgres,BigQuery). * Familiarity with semantic data models or knowledge graphs. * Understanding of data versioning, provenance tracking, and metadata management. * Strong problem-solving and debugging skills with attention to scalability and performance. * Comfort working in collaborative, cross-functional environments. We'd Love to See: * Experience integrating financial or private market data. * Familiarity with Bloomberg Query Language (BQL) or similar query interfaces. * Understanding of valuation data, company financials, or transaction modeling. * Experience working in Agile teams. * Passion for building high-quality, transparent, and auditable data systems. Does this sound like you? Apply if you think we're a good match. We'll get in touch to let you know what the next steps are! Salary Range = 110000 - 190000 USD Annually + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns. Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor's Degree At least 3 years of experience in application development (Internship experience does not apply) At least 1 year of experience in big data technologies Preferred Qualifications: 5+ years of experience in application development including Python, SQL, Scala, or Java 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 2+ year experience working on real-time data and streaming applications 2+ years of experience with NoSQL implementation (Mongo, Cassandra) 2+ years of data warehousing experience (Redshift or Snowflake) 3+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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. McLean, VA: $161,800 - $184,600 for Senior Data Engineer New York, NY: $176,500 - $201,400 for Senior Data 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. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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 RecruitingAccommodation@capitalone.com. 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 ********************** 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).

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Principal Software Engineer, Data Architecture Overview: Mastercard's Data & Analytics is seeking a visionary and results-oriented Senior Principal Software Engineer, Data Architecture to lead the design and evolution of Mastercard's enterprise data architecture. This foundational technical role is responsible for defining how data is collected, organized, governed, and distributed across Mastercard's global infrastructure. Reporting to the EVP of Data & Analytics, this engineer will shape architectural frameworks and standards that drive product innovation, operational excellence, and regulatory compliance across a hybrid cloud environment. The Mastercard's Data & Analytics organization is undergoing a bold transformation to modernize our global data ecosystem-unlocking value through secure, scalable, and compliant data capabilities. Role: Data Architecture Strategy & Execution * Lead the design and execution of Mastercard's enterprise data architecture across a complex, global ecosystem. * Drive modernization from legacy and on-prem systems to modern, cloud-native, and hybrid data platforms. * Architect scalable, secure data solutions that meet evolving regulatory requirements (e.g., ISO 20022, data localization, GDPR). * Create reusable, domain-oriented data models that promote consistency, interoperability, and self-service across business units. * Define and implement architectural patterns supporting both real-time and batch data processing across relational and non-relational systems. * Champion adoption of modern data principles including Data Mesh, data products, and federated governance. Governance, Alignment & Agile Integration * Serve as a key technical leader on the Data & Analytics Architecture Review Board to ensure alignment across programs and domains. * Collaborate with Mastercard's Architecture, Security, and Engineering organizations to embed data architecture into enterprise-wide standards. * Apply Agile methodologies to data architecture initiatives, enabling iterative delivery, rapid feedback, and cross-functional collaboration. * Represent Data & Analytics in enterprise architecture councils, steering committees, and executive planning forums. Cross-Functional Leadership & Mentorship * Lead and scale technical excellence by mentoring engineers, architects, and technical experts across distributed systems, cloud platforms, and data modeling. * Act as a trusted advisor to business, product, and engineering leaders-bridging technical strategy with enterprise priorities. * Build relationships and communicate effectively with internal and external stakeholders, including senior executives, to influence data-driven strategies and decisions. All About You: * Proven experience as a Senior Principal Engineer or equivalent in enterprise data architecture, data engineering, or data platform strategy. * Deep expertise in building and modernizing distributed data platforms using technologies such as Apache Spark, Kafka, Flink, NiFi, and Cloudera/Hadoop. * Hands-on proficiency with modern data platforms and tools including Databricks, Snowflake, Delta Lake, and Redshift. * Experienced in designing and operating real-time and batch data pipelines in hybrid and cloud-native environments (AWS, Azure, GCP). * Knowledge of Data Mesh principles, federated governance, and data product lifecycle management. * Experience working in Agile environments, leveraging modern delivery practices like Scrum, SAFe, or product-centric models. * Track record of leading large-scale data transformations and platform modernization initiatives in regulated industries such as Payments, Fintech, or Banking. * Understanding of card data flows, merchant ecosystems, and frameworks including ISO 20022 and data localization mandates. * Demonstrated ability to influence technical and business decisions at all levels, including C-suite stakeholders. * Strong executive presence with the ability to translate complex architecture concepts into business language. * Experience mentoring and leading global, cross-functional teams of high-performing technical talent. * Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical field required. This role is not eligible for Mastercard's work authorization sponsorship. As such, candidates must be eligible to work in the United States, now as well as in the future, without employer sponsorship. #LI-NF1 Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: * Abide by Mastercard's security policies and practices; * Ensure the confidentiality and integrity of the information being accessed; * Report any suspected information security violation or breach, and * Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Pay Ranges Arlington, Virginia: $230,000 - $368,000 USD Boston, Massachusetts: $230,000 - $368,000 USD Miami, Florida: $200,000 - $320,000 USD Purchase, New York: $230,000 - $368,000 USD