Capital One Senior Lead Data Engineer 

United States, Virginia, Arlington 

218734380

Center 3 (19075), United States of America, McLean, Virginia Senior Lead Data Engineer

What You’ll Do:

• 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 Scala, Java, Python, SQL and GO and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake

• Develop manage complex data pipelines orchestrating using Step Functions, Airflow etc.,

• Leverage serverless capabilities like Lambdas, Farate, Glue etc., for application deployment

• 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 your code is rigorously designed, elegantly coded, and effectively tuned for performance

We are part of Premetheus Financial Core (PFC) organization where we are building an in-house Ledger platform and move away from current 3rd party Core providers across all LOBs. Building Financial Core is a very complex initiative and not many have ventured this route. You will be working with Scala, Morphir IR, Go, Python, AWS (Fargate, EMR, Glue, S3), Cassandra, DynamoDB, Snowflake etc., and will have great opportunities to learn and contribute to the success of the platform.

Basic Qualifications:

• 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)

Preferred Qualifications:

• Master's Degree

• 9+ years of experience in application development including Python, SQL, Scala, or Java

• 5+ 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 (DynamoDB, 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

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.