Distinguished Data Engineer- Card

Join to apply for the Distinguished Data Engineer- Card role at Capital OneDistinguished 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.Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practicesVisionaries, collaborating on Capital One’s toughest issues, to deliver on business needs that directly impact the lives of our customers and associatesRole models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product communityEvangelists, 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 capabilitiesAbout the team: Capital One’s Card Core Architecture team is responsible for Card modernization’s data strategy, including data abstraction, data standardization, data products, GraphQL and API services to deliver reads and writes to clients, and analytical data strategy to enable our business to drive value across the customer lifecycle with real time intelligence and this role, you will work on delivering Proof-of-concepts, actionable architectures and designs with hands-on deep technical expertise. You will act as a bridge between technical delivery and product management. You will work with other Distinguished Engineers to detail high level designs to help software engineers develop the products as envisioned. You will provide mentorship and strategic guidance to our engineer, product, and leadership groups.Responsibilities:Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-inStrike 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 teamPromote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possibleEffectively communicate with and influence key stakeholders across the enterprise, at all levels of the organizationOperate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in a unified mannerLead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talentBasic Qualifications:Bachelor’s DegreeAt least 7 years of experience in data engineeringAt least 3 years of experience in data architectureAt least 2 years of experience building applications in AWSPreferred Qualifications:Masters’ Degree9+ years of experience in data architecture, engineering and delivery5+ years of experience developing in Python, Java, Scala or SQL3+ years of architecting experience with AWS services such as S3, Glue, Aurora Global, DynamoDB, Kinesis, Lambda3+ years of hands-on experience with data lakes including AVRO, Parquet, Iceberg, Delta, Spark, Kafka, Flink technologies3+ years of data modeling experience2+ years of experience with ontology standards for defining a domain1+ year of experience deploying machine learning models3+ years of experience implementing big data processing solutions on AWS3+ years of experience in building highly resilient distributed data systemsCapital 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. Salaries for part-time roles will be prorated based upon hours worked. Locations include Chicago, IL; McLean, VA; New York, NY; Plano, TX; Richmond, VA; San Francisco, CA; Wilmington, DE; and other locations with pay ranges adjusted accordingly. The actual offer will be reflected in the candidate’s offer letter. This role is eligible for performance-based incentive compensation.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits. Eligibility varies by status. 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 laws. Capital One promotes a drug-free workplace. Details on accommodations for applicants with disabilities are available from Capital One Recruiting.Seniority level: Mid-Senior levelEmployment type: Full-timeJob function: Information TechnologyReferrals increase your chances of interviewing at Capital One by 2xGet notified about new Data Engineer jobs in McLean, VA. #J-18808-Ljbffr

Created: 2025-09-17