Capital One - Cambridge, MA

posted about 2 months ago

Full-time - Senior
Cambridge, MA
Credit Intermediation and Related Activities

About the position

The Senior Manager, Data Engineering at Capital One is a leadership role focused on building and supporting real-time, resilient, and scalable data pipelines. This position is integral to driving engineering and agile excellence within the Finance Tech team, which aims to transform into a world-class engineering organization. The role involves collaboration across Agile teams to design and implement technical solutions, while also mentoring team members and staying updated on technology trends.

Responsibilities

  • Collaborate with Agile teams to design, develop, test, implement, and support technical solutions.
  • Lead a team of developers experienced in machine learning, distributed microservices, and full stack systems.
  • Utilize programming languages such as Java, Scala, Python, and work with Open Source RDBMS and NoSQL databases.
  • Share knowledge of tech trends and mentor other engineering community members.
  • Collaborate with digital product managers to deliver cloud-based solutions that enhance user experiences.
  • Perform unit tests and conduct code reviews to ensure high-quality code.

Requirements

  • Bachelor's Degree
  • At least 6 years of experience in application development
  • At least 2 years of experience in big data technologies
  • At least 1 year of experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
  • At least 4 years of people management experience

Nice-to-haves

  • 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 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
  • 2+ years of experience with Agile engineering practices
  • 6+ years of people management experience

Benefits

  • Comprehensive health benefits
  • Financial benefits
  • Inclusive benefits supporting total well-being
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