Lead Data Engineer (Python, AWS, Spark, Kafka, SQL, Snowflake, Databricks, GenAI) at Capital One — McLean, USA | Base Career

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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 data, data modeling, data quality, governance and permissible use, and building data pipelines with emerging technologies.

As a Capital One Lead Data Engineer, 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.

What You’ll Do

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

As a lead developer, work with a team of developers who have 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 and Databricks

Optimize information systems for end-users 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

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

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

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

4+ year 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

2+ years of experience with Agile engineering practices

Experience leveraging interactive AI tooling (Claude Code, GitHub Copilot) to accelerate the software delivery

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.

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.

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 1-800-304-9102 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 Careers@capitalone.com

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).

Lead Data Engineer (Python, AWS, Spark, Kafka, SQL, Snowflake, Databricks, GenAI)

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