Lead Data Engineer (apache Flink, Java, Snowflake, Aws)

Capital One

Chicago, IL, United States
Base: $179,400 - $204,700; bonus/equity: performan...
Apache flink
Java
Snowflake
As a Capital One Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One

Job Summary

  • As a Capital One 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.
  • Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

Matching Summary

As a Capital One Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.

Salary

Base: $179,400 - $204,700; Bonus/Equity: performance based incentive compensation; Benefits: comprehensive, competitive, and inclusive set of health, financial and other benefits

Skills & Requirements

Must-have

  • Apache Flink
  • Java
  • Snowflake
  • AWS
  • real-time data and streaming applications
  • big data technologies

Nice-to-have

  • machine learning
  • distributed microservices
  • full stack systems
  • passion for staying on top of tech trends
  • experimenting with and learning new technologies
  • participating in internal & external technology communities
  • mentoring other members of the engineering community

Key Requirements

  • Bachelor’s Degree
  • At least 4 years of experience in application development
  • At least 2 years of experience in big data technologies
  • At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
  • 7+ 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)
  • 4+ years experience with Distributed data/computing tools
  • 4+ year experience working on real-time data and streaming applications
  • 4+ years of experience with NoSQL implementation
  • 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

Work Rights

Not specified

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