Lead Data Engineer - Payment Networks

Lead Data Engineer - Payment Networks At Capital One, you’ll be part of a team 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. 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. 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. Qualifications Bachelor’s Degree. At least 4 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: 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+ years 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/Linux including basic commands and shell scripting. 2+ years of experience with Agile engineering practices. Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion. Compensation and Benefits Annual salary range: $197,300 - $225,100 (McLean, VA). Eligible to earn performance‑based incentive compensation, which may include cash bonus(es) and/or long‑term incentives (LTI). Equal Opportunity Employer Statement Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. #J-18808-Ljbffr Capital One