Senior Manager, Data Engineer

4 weeks ago


Richmond, Virginia, United States Capital One Full time

About the Role:

We are seeking a Senior Manager, Data Engineer to join our team at Capital One. As a key member of our engineering organization, you will be responsible for leading a team of developers in designing, developing, testing, implementing, and supporting technical solutions in full-stack development tools and technologies.

Key Responsibilities:

  • Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
  • Lead a team of developers with deep experience in machine learning, distributed microservices, and full-stack systems
  • 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
  • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
  • Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
  • Perform unit tests and conduct reviews with other team members to make sure our code is rigorously designed, elegantly coded, and effectively tuned for performance

Requirements:

  • Bachelor's Degree
  • At least 8 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)
  • At least 4 years of people management experience

Preferred Qualifications:

  • 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
  • 6+ years of people management experience

About Capital One:

Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. We offer a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being.

Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.


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