Senior Manager, Data Engineering (Enterprise Platforms Technology)

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 Sr. Data Engineers who are passionate about data, data modeling, data quality, governance and permissible use and building data pipelines with emerging technologies. As a Capital One Senior Manager in Data Engineering, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.

The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels.

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions using data movement tools and technologies

• Work, as a lead developer, with a team of developers with deep experience in data movement, distributed computing, and full stack systems

• Utilize programming languages like Python, SQL and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Snowflake, Databricks

• Optimize information system for end-user and downstream application consumers by using sound data design practices

• 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

• At least 6 years of experience in application development (Internship experience does not apply)

• At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

• 9+ years of experience in application development including Python, SQL, Spark, ETL tools, AWS Glue

• 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)

• 5+ years of experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, or MySQL)

• 4+ years of experience working on real-time data and streaming applications

• 4+ years of experience with NoSQL implementation (Mongo, Cassandra)

• 4+ years of data warehousing experience (Redshift or Snowflake)

• 4+ years of experience with UNIX/Linux including basic commands and shell scripting

• 4+ years of experience with data modeling for data warehousing

• 1+ years of experience leveraging AI-assisted coding tools (Claude Code, GitHub Copilot) to accelerate the software delivery

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

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.