Senior Manager, Data Engineering

Center 1 (19052), United States of America, McLean, Virginia

Senior Manager, Data Engineering

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’ll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Manager Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.

Team Description: The Card Data Organization team works on the foundational capabilities of how data should be produced and consumed. The environment involves Batch Pipelines involving core technologies such as Scala, Python, Spark, EMR, Glue, Airflow, Step Functions, Delta, Uniform Catalog, Iceberg, DynamoDB amongst many others. The team tackles problems of massive scale, with a critical data footprint that has bottomline business impact, resiliency & availability requiring the best techniques within Big Data Analytics and Machine Learning, all while providing a superior analyst experience on our tools. This team is looking for a People Leader who loves to innovate, problem solve, can lead multiple teams with strong delivery focus, and can build an inclusive and fun culture.

What You’ll Do:

1. Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.
2. Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems.
3. 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.
4. 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.
5. Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment.
6. 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.

Basic Qualifications:

1. Bachelor’s Degree.
2. At least 8 years of experience in application development (Internship experience does not apply).
3. At least 2 years of experience in big data technologies.
4. At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud).
5. At least 4 years of people management experience.

Preferred Qualifications:

1. Master’s Degree.
2. 9+ years of experience in application development including Python, SQL, Scala, or Java.
3. 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud).
4. 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL).
5. 4+ year experience working on real-time data and streaming applications.
6. 4+ years of experience with NoSQL implementation (Mongo, Cassandra).
7. 4+ years of data warehousing experience (Redshift or Snowflake).
8. 4+ years of experience with UNIX/Linux including basic commands and shell scripting.
9. 2+ years of experience with Agile engineering practices.
10. 6+ years of people management experience.