Senior Data Engineer

Capital One Capital One · Banking · McLean, VA +1

This role is for a Senior Data Engineer at Capital One, focusing on building and pioneering technology solutions within the People Tech division. The engineer will collaborate with Agile teams, design and develop technical solutions, work with machine learning and distributed microservices, and utilize various programming languages and cloud-based data warehousing services. The role involves testing, implementing, and supporting technical solutions, sharing knowledge on tech trends, and mentoring others. While not directly building AI models, the role involves working with teams that do and leveraging AI tooling to accelerate productivity.

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. Work with 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
  6. Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

Skills

Required

  • Bachelor’s Degree
  • 3 years of experience in application development
  • 1 year of experience in big data technologies

Nice to have

  • 5+ years of experience in application development including Python, SQL, Scala, or Java
  • 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
  • 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
  • 2+ year experience working on real-time data and streaming applications
  • 2+ years of experience with NoSQL implementation (Mongo, Cassandra)
  • 2+ years of data warehousing experience (Redshift or Snowflake)
  • 3+ 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

What the JD emphasized

  • Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion