Capital One
Data Engineer 4 (Python, Pyspark, AWS)
$197K–$225K
McLean, VA · Full-time · Posted Oct 26, 2026
- Experience
- At least 4 years in application development; at least 2 years each in distributed data, SQL, one programming language, and data pipeline design and development; at least 1 year in data modeling and end-to-end 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 offer immigration-related support for this position.
About the job
Designs, builds, and operates scalable cloud data pipelines and platforms, applying data engineering patterns and security standards to support business solutions.
What you'll do
- Design, develop, implement, and support cloud-first data solutions and pipelines.
- Establish data engineering patterns and implement security controls, including encryption and fine-grained access.
- Collaborate with Agile teams and stakeholders, communicate technical outcomes, and mentor data community members.
What they ask for
- Bachelor's degree or higher in Computer Science or a related quantitative field.
- At least 4 years of application development experience; internship experience does not apply.
- At least 2 years of experience in distributed data, SQL, one of Python, Java, or Scala, 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 databases.
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 annual base salary (McLean, VA)
Tools
Python, Spark, SQL, Databricks, Snowflake, AWS, Microsoft Azure, Google Cloud
AI focus
The role influences developers, analysts, and data scientists working in machine learning; no specific AI development duties are stated.
Model-written summary · the original posting is authoritative