Senior Lead Data Engineer

Capital One Capital One · Banking · McLean, VA +2

Senior Lead Data Engineer role at Capital One, focusing on designing, developing, and implementing technical solutions using various programming languages and big data technologies in a cloud environment. The role involves leading a team of developers and collaborating with product managers to deliver robust cloud-based solutions. While the company is exploring AI tooling, the core of this role is data engineering and full-stack development, not direct AI/ML model building.

What you'd actually do

  1. Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
  2. Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
  3. 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
  4. 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
  5. Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

Skills

Required

  • Bachelor's Degree
  • 6 years of experience in application development
  • 2 years of experience in big data technologies
  • 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Nice to have

  • 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 (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, 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
  • 2+ years of experience with Agile engineering practices
  • Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion