Capital One - Annapolis, MD

posted 7 days ago

Full-time - Mid Level
Annapolis, MD
Credit Intermediation and Related Activities

About the position

As a Lead Data Engineer at Capital One, you will play a pivotal role in transforming the organization by leveraging data and emerging technologies. You will collaborate with Agile teams to design, develop, and implement technical solutions, while also mentoring fellow engineers and staying abreast of the latest tech trends. This position offers the opportunity to work with advanced data technologies and contribute to impactful projects that empower millions of Americans financially.

Responsibilities

  • Collaborate with Agile teams to design, develop, test, implement, and support technical solutions.
  • Work with developers experienced in machine learning, distributed microservices, and full stack systems.
  • Utilize programming languages such as Java, Scala, Python, and work with RDBMS and NoSQL databases.
  • Engage with cloud-based data warehousing services like Redshift and Snowflake.
  • Participate in technology communities and mentor other engineering members.
  • Deliver robust cloud-based solutions in collaboration with digital product managers.
  • Perform unit tests and conduct code reviews to ensure high-quality code.

Requirements

  • Bachelor's Degree
  • At least 4 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 of experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Nice-to-haves

  • 7+ years of experience in application development including Python or SQL
  • 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
  • 4+ 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
  • Inclusive workplace environment
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