Capital One
Data Engineer 5
$209K–$262K
McLean, VA +3 · Full-time · Posted Oct 8, 2026
- Location
- McLean, VA
Richmond, VA
Chicago, IL
Plano, TX - Experience
- At least 6 years in application development; at least 4 years each in distributed data, SQL, programming with Python/Java/Scala, and data pipeline design and development; at least 2 years in data modeling and end-to-end solutions using relational and non-relational systems. Preferred experience includes 8+ years in data engineering.
- Education
- Bachelor's Degree or higher in Computer Science or a related quantitative field
- Visa sponsorship
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
About the job
Independently leads the design and delivery of scalable cloud data platforms, pipelines, and solutions, while making architectural decisions and mentoring data engineering peers.
What you'll do
- Design, build, and operate scalable, resilient data pipelines and cloud data solutions.
- Lead large data initiatives and establish engineering patterns and platform choices.
- Collaborate across teams, communicate technical outcomes, and mentor other engineers.
What they ask for
- Bachelor's Degree or higher in Computer Science or a related quantitative field.
- At least 6 years of application development experience (internship experience does not apply).
- At least 4 years of experience in distributed data and SQL.
- At least 4 years programming in Python, Java, or Scala; and at least 4 years designing and developing data pipelines.
Nice to have
- Master’s Degree in Computer Science or a related field.
- Experience with public cloud data workloads, streaming pipelines, data orchestration or observability, and data warehousing.
Pay
$209,000 - $238,500 USD base salary (Chicago, IL); $229,900 - $262,400 USD base salary (McLean, VA); $209,000 - $238,500 USD base salary (Plano, TX); $209,000 - $238,500 USD base salary (Richmond, VA)
Tools
Python, Spark, SQL, Java, Scala, Databricks, Snowflake, Airflow
Model-written summary · the original posting is authoritative