Capital One - McLean, VA

posted 3 months ago

Full-time - Senior
McLean, VA
Credit Intermediation and Related Activities

About the position

As a Senior Manager in Data Engineering at Capital One, you will play a pivotal role in driving technological transformation within the organization. This position is designed for individuals who are passionate about leveraging data and emerging technologies to solve complex business challenges. You will be part of a dynamic team that thrives in a fast-paced, collaborative, and inclusive environment, where innovation is encouraged and celebrated. Your primary responsibility will be to lead a team of skilled developers who specialize in machine learning, distributed microservices, and full-stack systems. You will collaborate with Agile teams to design, develop, test, implement, and support technical solutions using a variety of full-stack development tools and technologies. In this role, you will utilize your expertise in programming languages such as Java, Scala, and Python, as well as your knowledge of Open Source RDBMS and NoSQL databases. You will also work with cloud-based data warehousing services like Redshift and Snowflake to deliver robust solutions that enhance user experiences and empower millions of Americans financially. Your leadership will be crucial in mentoring team members, sharing your passion for technology trends, and fostering a culture of continuous learning and experimentation. You will be responsible for ensuring that the code produced by your team is rigorously designed, elegantly coded, and optimized for performance. This includes performing unit tests and conducting code reviews to maintain high standards of quality. Your ability to collaborate effectively with digital product managers will be essential in delivering solutions that meet customer needs and drive business success.

Responsibilities

  • Collaborate with Agile teams to design, develop, test, implement, and support technical solutions.
  • Lead a team of developers with expertise in machine learning, distributed microservices, and full-stack systems.
  • Utilize programming languages such as Java, Scala, and Python, along with Open Source RDBMS and NoSQL databases.
  • Work with cloud-based data warehousing services like Redshift and Snowflake.
  • Stay updated on technology trends and mentor other engineering community members.
  • Deliver robust cloud-based solutions that enhance user experiences.
  • Perform unit tests and conduct code reviews to ensure code quality.

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 of experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
  • At least 4 years of people management experience

Nice-to-haves

  • Master's Degree
  • Salesforce Certified Developer or Salesforce Certified Administrator certification
  • 5+ years of experience in Salesforce development with Apex, Native, VisualForce, Lightning framework or SOQL
  • 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)
  • 4+ years of experience working on real-time data and streaming applications
  • 4+ years of experience with NoSQL implementation (Mongo, Cassandra)
  • 4+ years of data warehousing experience (Snowflake)
  • 2+ years of experience with Agile engineering practices
  • 6+ years of people management experience

Benefits

  • Comprehensive health benefits
  • Financial benefits
  • Inclusive set of benefits supporting total well-being
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