Lead Data Engineer

A leading financial services company that provides credit cards, banking, and lending services.
Plano, TX, USAMcLean, VA, USA
$175,800 - $220,700
Data
Staff Software Engineer
In-Person
5,000+ Employees
4+ years of experience
Finance

Description For Lead Data Engineer

Capital One is seeking a Lead Data Engineer to drive major technological transformation within the company. This role combines big data expertise with emerging technologies, offering an opportunity to work on innovative solutions that impact millions of Americans' financial lives. The position involves collaborating with cross-functional Agile teams, working with cutting-edge technologies including machine learning, distributed microservices, and full-stack systems. You'll be responsible for designing and implementing sophisticated data solutions using various programming languages and technologies such as Java, Scala, Python, and both SQL and NoSQL databases. The role requires expertise in cloud computing platforms, real-time data processing, and data warehousing solutions. As a lead engineer, you'll also mentor team members and contribute to the broader engineering community while staying current with the latest technology trends. The position offers competitive compensation, comprehensive benefits, and the opportunity to work with a team of talented professionals in a dynamic, innovative environment that values technical excellence and continuous learning.

Last updated 6 hours ago

Responsibilities For Lead Data Engineer

  • Collaborate with Agile teams to design, develop, test, implement, and support technical solutions
  • Work with machine learning, distributed microservices, and full stack systems
  • Utilize programming languages and databases including Java, Scala, Python, RDBMS, NoSQL
  • Stay current with tech trends and mentor other engineers
  • Collaborate with product managers to deliver cloud-based solutions
  • Perform unit tests and code reviews

Requirements For Lead Data Engineer

Python
Java
Scala
MongoDB
Kafka
  • 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)
  • Experience with distributed computing tools
  • Experience with real-time data and streaming applications
  • Experience with NoSQL databases
  • Experience with data warehousing
  • Experience with UNIX/Linux
  • Experience with Agile engineering practices

Benefits For Lead Data Engineer

Medical Insurance
401k
  • Comprehensive health benefits
  • Financial benefits
  • Performance based incentives
  • Cash bonuses
  • Long term incentives (LTI)

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