Capital One-posted 2 months ago
$204,900 - $257,200/Yr
Full-time • Senior
Richmond, VA
Credit Intermediation and Related Activities

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.

  • Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
  • Partner with a cross-functional team of engineers (Full Stack, ML, & Data), technical program managers, and product managers to deliver curated data assets and AI-powered products that change how our associates work and drive value for Capital One.
  • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other engineers, and contributing to the technical vision and roadmap of Capital One systems.
  • Utilize programming languages like Java, Python, Open Source RDBMS and NoSQL databases, Container Orchestration services and a variety of AWS tools and services
  • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
  • Bachelor's Degree
  • At least 6 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 experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
  • 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 experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
  • 4+ year 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
  • Comprehensive health benefits
  • Financial benefits
  • Other benefits that support total well-being
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