Lead Data Engineer (Python, AWS)
Lead Data Engineer at Capital One responsible for building and pioneering technology solutions to solve complex business problems. Work in a fast‑paced, collaborative, inclusive, and iterative delivery environment with Agile teams.
What You’ll Do
- Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions using 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, as well as cloud‑based data warehousing services such as Redshift and Snowflake.
- Share 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 to deliver robust cloud‑based solutions that drive powerful experiences for millions of Americans.
- Perform unit tests and conduct reviews with other team members to ensure code is rigorously designed, elegantly coded, and effectively tuned for performance.
Basic 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 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 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.
Salary & Benefits
Chicago, IL: $179,400 - $204,700 for Lead Data Engineer. This role is also eligible to earn performance‑based incentive compensation, which may include cash bonus(es) and/or long‑term incentives (LTI).
Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well‑being.
Equal Employment Opportunity
Capital One is an equal‑opportunity employer (EOE, including disability/veteran) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. We will consider qualified applicants with a criminal history in a manner consistent with applicable laws regarding background inquiries.