Senior Data Engineer

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 Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.

Responsibilities:

• 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, and Python, and open-source RDBMS and NoSQL 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 your code is rigorously designed, elegantly coded, and effectively tuned for performance.

Requirements:

• Bachelor's degree in engineering and computer science.
• 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).

Preferred Qualifications:

• Master's degree in engineering and computer science.
• 5+ 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).
• 5+ years of experience with distributed data and 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 implementation (Mongo, Cassandra).
• 4+ years of data warehousing experience (Redshift or Snowflake).
• 4+ years of experience with UNIX and Linux, including basic commands and shell scripting.
• 2+ years of experience with Agile engineering practices.