Capital One
Data Engineer 4 - HR Tech
$179K–$225K
McLean, VA +1 · Full-time · Posted Oct 23, 2026
- Location
- McLean, VA
Richmond, VA - Experience
- At least 4 years in application development; 2 years each in distributed data, SQL, a programming language, and data pipeline design and development; 1 year in data modeling and end-to-end data solutions. Preferred experience ranges from 2+ to 7+ years, depending on area.
- Education
- Bachelor's Degree or higher in Computer Science or a related quantitative field.
- Visa sponsorship
- Capital One will not sponsor a new applicant for employment authorization or provide immigration-related support for this position.
About the job
Designs, builds, and operates scalable cloud data pipelines and platforms, applying data engineering standards and security practices to support business solutions.
What you'll do
- Design, develop, test, implement, and support cloud-first data solutions, pipelines, and platforms.
- Architect and enforce data engineering patterns, and implement security controls such as encryption and fine-grained access control.
- Collaborate with Agile teams and stakeholders, communicate technical outcomes, and mentor members of the data community.
What they ask for
- Bachelor's Degree or higher in Computer Science or a related quantitative field.
- At least 4 years of experience in application development; internship experience does not apply.
- At least 2 years of experience each in distributed data, SQL, one programming language, and data pipeline design and development.
- At least 1 year of experience in data modeling and end-to-end data solutions using relational and non-relational database systems.
Nice to have
- 7+ years of application development experience, with proficiency in Python, SQL, Scala, or Java.
- Experience with public cloud, distributed data workloads, streaming pipelines, observability or orchestration, NoSQL, data warehousing, Agile, or reusable data products.
Pay
$197,300 - $225,100 USD base salary (McLean, VA); $179,400 - $204,700 USD base salary (Richmond, VA)
Tools
Python, Spark, Databricks, Snowflake, SQL, Java, Scala, AWS
Model-written summary · the original posting is authoritative