Lead Data Engineer; Python, PySpark, AWS

Lead Data Engineer (Python, PySpark, AWS)

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast‑paced, collaborative, inclusive, and iterative delivery environment?

What You’ll Do:

• 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 such as Java, Scala, Python, and open‑source RDBMS and No
  
  SQL databases, as well as 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.

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 (Map Reduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL).
• 4+ years experience working on real‑time data and streaming applications.
• 4+ years of experience with No
  
  SQL 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.

Immigration and Sponsorship: At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F‑1 OPT, etc.).

Compensation: The minimum and maximum full‑time annual salaries for this role are listed below, by location.

• McLean, VA: $197,300 - $225,100 for Lead Data Engineer.
• Richmond, VA: $179,400 - $204,700 for Lead Data Engineer.

Eligible to earn performance‑based incentive compensation, including cash bonus(es) and/or long‑term incentives (LTI).

Benefits: Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being.

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace.

This role is expected to accept applications for a minimum of 5 business days. No agencies please.