Senior Lead Data Engineer; Foundations

Senior Lead Data Engineer (Intelligent Foundations & Experiences)

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 group of makers, breakers, doers and disruptors, solving real problems and meeting real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies.

As a Capital One 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, develop, test, implement, and support technical solutions in full-stack development tools and technologies
• 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 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

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

• Master's Degree
• 9+ 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)
• 5+ years experience with Distributed data/computing tools (Map Reduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
• 4+ year experience working on real-time data and streaming applications
• 4+ years of experience with No
  
  SQL 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
• 2+ years of experience with Agile engineering practices
• Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion

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

Capital One is an equal‑opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws.