Lead Data Engineer - Cloud Resilience Engineering

At Capital One, we thrive on innovation and collaboration to solve complex challenges in a dynamic environment. We are a diverse team of makers, doers, and disruptors dedicated to merging data with cutting-edge technologies. In our Cloud Operations Resilience Engineering (CORE) division, we focus on developing and enhancing Capital Ones cloud infrastructure, ensuring resilience and reliability. We offer a competitive and comprehensive benefits package that promotes well-being and supports our employees in various ways. Our roles are based in McLean, VA, and Richmond, VA, with salaries ranging from $175,800 to $220,700, depending on the location and qualifications.

- Bachelors Degree
- Minimum of 4 years of experience in application development (internship experience does not count)
- At least 2 years of experience in big data technologies
- A minimum of 1 year of experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Preferred Qualifications:
- 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 of experience with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
- 4 years of experience working on real-time data and streaming applications
- 4 years of experience with NoSQL implementations (Mongo, 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

- Collaborate with Agile teams to design, develop, test, implement, and maintain technical solutions using full-stack development tools and technologies
- Work alongside developers experienced in machine learning, distributed microservices, and full-stack systems
- Utilize programming languages such as Java, Scala, Python, as well as both Open Source RDBMS and NoSQL databases, alongside cloud-based data warehousing services like Redshift and Snowflake
- Share knowledge and stay abreast of tech trends, experimenting with new technologies and participating in both internal and external tech communities
- Mentor fellow members of the engineering team
- Cooperate with digital product managers to deliver robust cloud-based solutions that enhance user experiences for millions of Americans aiming for financial empowerment
- Conduct unit tests and engage in peer reviews to ensure code is thoroughly designed, well-structured, and optimized for performance