Lead Data Engineer (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology) at Capital One

Capital One; Town of Montana (WI); On-site; USD 170,000 - 245,000; Full time

Job summary

Capital One seeks a Lead Data Engineer to drive end-to-end data engineering initiatives across modern cloud platforms. You will collaborate with agile teams, mentor engineers, and apply ML-informed approaches to large-scale data processing.

The role emphasizes full-stack development, distributed systems, and hands-on work with Python, SQL, Scala/Java, and cloud-based data warehousing to deliver impactful customer experiences.

Qualifications

• Bachelor's Degree in a technical field.
• 4+ years in application development.
• 2+ years in big data technologies.
• 1+ year cloud computing (AWS, Azure, or GCP).

Responsibilities

• Collaborate with 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.
• Develop using Python, SQL, Java/Scala and cloud data warehousing services like Redshift and Snowflake.

Skills

Python

SQL

AWS

GenAI

Education

Bachelor's Degree

Tools

Redshift

Snowflake

Hadoop

Kafka

Spark

MongoDB

Job description

Lead Data Engineer (Python, AWS, SQL, GenAI)

Posted: 07/16/2026

Job ID: R239321

Location: New York, New York | San Francisco, California | Plano, Texas | McLean, Virginia | Richmond, Virginia

Category: Technology

Experience Level: Manager

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

Enterprise Platforms Technology (EPTech) comprises many of Capital One's most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices.

Team

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 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 4 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 experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Preferred Qualifications

• Master's Degree
• 1 years of experience leveraging AI-assisted coding tools (Claude Code, GitHub Copilot) to accelerate the software delivery
• 7 years of experience in application development including Python, SQL, Scala, or Java
• 4 years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
• 4 years of experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, 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
• 2 years of experience with Agile engineering practices

Additional Information

• McLean, VA: $197,300 - $225,100 for Lead Data Engineer
• New York, NY: $215,200 - $245,600 for Lead Data Engineer
• Plano, TX: $179,400 - $204,700 for Lead Data Engineer
• Richmond, VA: $179,400 - $204,700 for Lead Data Engineer
• San Francisco, CA: $215,200 - $245,600 for Lead 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.

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).