Lead Data Engineer; Python, AWS, SQL, GenAI; Enterprise Platforms Technology

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

Enterprise Platforms Technology (EPTech) is a group that establishes best practices for building technology solutions across Capital One and delivers capabilities that showcase those practices.

The Marketing and Messaging team delivers hyper‑personalized messages and experiences that delight the customer, attract prospects and drive increasing business value. They build scalable platforms that deliver omnichannel messages in owned and paid Ad‑tech channels.

• Collaborate across Agile teams to design, develop, test, implement, and support technical solutions using full‑stack development tools and technologies.
• Work with developers who specialize in machine learning, distributed microservices, and full‑stack systems.
• Utilize programming languages such as Java, Scala, and Python, along with open‑source RDBMS, No
  
  SQL databases, and cloud‑based data warehousing services like Redshift and Snowflake.
• Stay current on technology trends, experiment with new tools, participate in internal and external technology communities, and mentor other engineering community members.
• Collaborate with digital product managers to deliver robust cloud‑based solutions that empower millions of Americans to achieve financial empowerment.
• Write unit tests and perform code reviews to ensure rigorous design, elegant code, and optimized performance.

• Bachelor’s Degree
• At least 4 years of application development experience (internship experience does not apply)
• At least 2 years of experience with big data technologies
• At least 1 year of experience with cloud computing (AWS, Microsoft Azure, or Google Cloud)

• Master’s Degree
• 1+ year of experience leveraging AI‑assisted coding tools (Claude, Git Hub Copilot, etc.)
• 7+ years of application development experience including Python, SQL, Scala, or Java
• 4+ years of experience with a public cloud (AWS, Microsoft Azure, or Google Cloud)
• 4+ years with distributed data/computing tools (Map Reduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
• 4+ years working on real‑time data and streaming applications
• 4+ years with No
  
  SQL implementation (Mongo, Cassandra)
• 4+ years data warehousing experience (Redshift or Snowflake)
• 4+ years with UNIX/Linux, including basic commands and shell scripting
• 4+ years of data modeling for data warehousing
• 2+ years of experience with Agile engineering practices

Capital One is an equal opportunity employer (EOE, including disability and veteran status) committed to non‑discrimination in compliance with federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider qualified applicants with criminal history in a manner consistent with applicable laws.

Capital One will not sponsor a new applicant for employment authorization or offer immigration support for this position.