Capital One is seeking a Lead Data Engineer to drive a major transformation within the company by marrying data with emerging technologies.
Requirements
- At least 2 years of experience in big data technologies
- At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
- 7+ 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 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)
Responsibilities
- Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
- Work with 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
- 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
- Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Other
- Bachelor’s Degree
- At least 4 years of experience in application development (Internship experience does not apply)
- 2+ years of experience with Agile engineering practices
- Must not require sponsorship for employment authorization (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization)
- Must be willing to work in one of the specified locations (McLean, VA, New York, NY, Plano, TX, Richmond, VA)
