Data Engineer

Senior Lead Data Engineer (Snowflake, Databricks, Apache Iceberg, Spark + SQL workload optimizations)

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 Senior Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.

• Collaborate with and across Agile teams to design, architect, develop, test, implement, and support technical solutions in full‑stack development tools and technologies
• Lead workload optimization and develop/architect capabilities to drive optimizations at scale (e.g. SQL, Spark optimizations)
• Lead 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 No
  
  SQL databases as well as cloud‑based data warehousing services such as Redshift, Snowflake, and Databricks
• 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 ensure your code is rigorously designed, elegantly coded, and effectively tuned for performance

• Bachelor’s Degree
• At least 6 years of experience in application development (internship experience does not apply)
• At least 2 years of experience in big data technologies
• At least 1 year of experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

• Master’s Degree
• 4+ years of data warehousing experience (Snowflake, Databricks, Redshift)
• 9+ years of experience in application development including Python, SQL, Scala, or Java
• 2+ years of experience engineering or leveraging machine learning & Gen‑AI capabilities and tools (Iceberg, Delta adoption, Cortext)
• 5+ years experience with distributed data/computing tools (Map Reduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
• 4+ years of experience with AWS cloud services or other public cloud platforms (Microsoft Azure, Google Cloud)
• 4+ years of experience working on large‑scale data platforms
• 4+ years of experience with No
  
  SQL implementation (Mongo, Cassandra)
• 4+ years of experience with UNIX/Linux including basic commands and shell scripting

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

McLean, VA: $229,900 - $262,400
New York, NY: $250,800 - $286,200
Richmond, VA: $209,000 - $238,500

This role is also eligible to earn performance‑based incentive compensation, which may include cash bonus(es) and/or long‑term incentives.

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.

The 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. Qualified applicants with a criminal history will be considered in a manner consistent with applicable laws regarding criminal background inquiries.

If you require an accommodation, please contact Capital One Recruiting at [phone removed] or via email at [email removed]. All information you provide will be kept confidential and used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One’s recruiting process, please send an email to [email removed].