Senior Lead Data Engineer (bank Tech)

Capital One Capital One · Banking · McLean, VA

Senior Lead Data Engineer role at Capital One focused on designing, developing, and implementing technical solutions using big data technologies and cloud services. The role involves leading a team of developers and collaborating with product managers to deliver robust cloud-based solutions. While the company is in the AI space and encourages leveraging AI tooling for productivity, this specific role is primarily focused on data engineering and infrastructure rather than core AI/ML model development.

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

  • Application development
  • Big data technologies
  • Cloud computing (AWS, Microsoft Azure, Google Cloud)

Nice to have

  • Python
  • SQL
  • Scala
  • Java
  • Public cloud (AWS, Microsoft Azure, Google Cloud)
  • Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
  • Real-time data and streaming applications
  • NoSQL implementation (Mongo, Cassandra)
  • Data warehousing experience (Redshift or Snowflake)
  • UNIX/Linux
  • Agile engineering practices
  • Interactive AI tooling