Senior Lead Data Engineer

$234,700 - $267,900/Yr

Capital One - Petersburg, VA

posted 7 days ago

Full-time - Senior
Petersburg, VA
Credit Intermediation and Related Activities

About the position

As a Senior Lead Data Engineer at Capital One, you will play a pivotal role in driving technological transformation by collaborating with Agile teams to design, develop, and implement technical solutions. This position emphasizes full-stack development, machine learning, and cloud-based data warehousing, allowing you to leverage your expertise in data engineering to solve complex business problems and enhance customer experiences.

Responsibilities

  • Collaborate with Agile teams to design, develop, test, implement, and support technical solutions.
  • Lead a team of developers with expertise 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.
  • Engage with cloud-based data warehousing services like Redshift and Snowflake.
  • Stay updated on tech trends, experiment with new technologies, and mentor other engineering team members.
  • Work with digital product managers to deliver robust cloud-based solutions.
  • 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).

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.

Benefits

  • Comprehensive health benefits.
  • Financial benefits including performance-based incentives.
  • Inclusive set of benefits supporting total well-being.
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