Lead Data Engineer (enterprise Platforms Technology) ( Java, Python, Scala, Aws)

Capital One

McLean, VA, US
Mclean, va: $197,300 - $225,100; new york, ny: $21...
On-site
Java, python, scala, aws
Big data technologies
Cloud computing
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies

Job Summary

  • Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.
  • 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.
  • Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment.

Matching Summary

Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.

Salary

McLean, VA: $197,300 - $225,100; New York, NY: $215,200 - $245,600; Bonus/Equity: Performance based incentive compensation; Benefits: Comprehensive, competitive, and inclusive set of health, financial and other benefits

Skills & Requirements

Must-have

  • Java, Python, Scala, AWS
  • Big data technologies
  • Cloud computing
  • Distributed data/computing tools
  • Real-time data and streaming applications
  • NoSQL implementation
  • Data warehousing
  • UNIX/Linux
  • Data modeling

Nice-to-have

  • AI-assisted coding tools
  • Agile engineering practices
  • Machine learning
  • Distributed microservices
  • Full stack systems
  • Financial empowerment

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)
  • 1+ years of experience leveraging AI-assisted coding tools
  • 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 of experience with Distributed data/computing tools
  • 4+ years of experience working on real-time data and streaming applications
  • 4+ years of experience with NoSQL implementation
  • 4+ years of data warehousing experience
  • 4+ years of experience with UNIX/Linux
  • 4+ years of experience with data modeling for data warehousing
  • 2+ years of experience with Agile engineering practices

Work Rights

Not specified

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