Senior Lead Data Engineer - AWS, Python & Snowflake

Capital One

Richmond (VA)

Hybrid

USD 209,000 - 238,500

Full time

14 days+

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Benefits offered by this job

Performance-based bonuses
Comprehensive health benefits
Incentive compensation options

Job summary

Capital One is seeking a Senior Lead Data Engineer in Richmond, Virginia, to drive major transformation efforts. This role involves collaborating with Agile teams on cutting-edge AI technology to enhance risk management solutions. The ideal candidate will have a Bachelor’s Degree, extensive experience in application and big data technologies, and strong knowledge in cloud computing.

The position offers competitive compensation and a comprehensive set of health and financial benefits, fostering an inclusive environment for all employees.

Qualifications

  • 6+ years of experience in application development.
  • 2+ years of experience in big data technologies.
  • 1+ year experience with cloud computing (AWS, Azure, Google Cloud).

Responsibilities

  • Collaborate with Agile teams to support technical solutions.
  • Lead a team of developers with expertise in machine learning.
  • Utilize programming languages and cloud-based data warehousing.

Skills

Machine learning
Distributed microservices
Full-stack systems
Programming languages (Java, Scala, Python)
Cloud computing (AWS, Azure, Google Cloud)

Education

Bachelor’s Degree

Tools

NoSQL databases (Mongo, Cassandra)
Data warehousing (Redshift, Snowflake)
UNIX/Linux

Job description

Capital One is seeking a Senior Lead Data Engineer in Richmond, Virginia, to drive major transformation efforts. This role involves collaborating with Agile teams on cutting-edge AI technology to enhance risk management solutions. The ideal candidate will have a Bachelor’s Degree, extensive experience in application and big data technologies, and strong knowledge in cloud computing.

The position offers competitive compensation and a comprehensive set of health and financial benefits, fostering an inclusive environment for all employees.

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