Sr. Manager, Data Engineering; Enterprise Data

Sr. Manager, Data Engineering (Enterprise Data)

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you will be part of a big group of makers, breakers, doers, and disruptors who solve real problems and meet real customer needs.

• 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 No
  
  SQL 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 and 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.

• Bachelor’s Degree.
• At least 6 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.

• Master’s Degree.
• 9+ years of experience in application development including AbInitio, Python, SQL, Scala, or Java.
• 4+ years of experience in AbInitio development and administration.
• 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud).
• 5+ years of experience with distributed data/computing tools (Map Reduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL).
• 4+ years of experience working on batch, real-time data and streaming applications.
• 4+ years of experience with No
  
  SQL implementation (Mongo, Cassandra).
• 4+ years of experience with data warehousing (Redshift or Snowflake).
• 4+ years of experience with UNIX/Linux including basic commands and shell scripting.
• 2+ years of experience with Agile engineering practices.

Capital One offers 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.

Salary ranges by location include:
McLean, VA: $229,900 - $262,400;
Richmond, VA: $209,000 - $238,500.

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.