Capital One
Sr. Staff Data Engineer (Remote -Eligible)
$286K–$392K
McLean, VA +3 · Senior Staff · Full-time · Posted Oct 1, 2026
- Location
- McLean, VA
US Remote
Richmond, VA
New York, NY - Experience
- At least 9 years in data engineering; 5 years in data architecture; 3 years building applications in AWS; 7 years programming with Python, Java, or Scala; 6 years designing and developing data pipelines; 4 years in data modeling and end-to-end solutions using relational and non-relational database systems.
- Education
- Bachelor’s Degree in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering).
- Visa sponsorship
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
About the job
Leads the technical strategy and hands-on development of enterprise data pipelines and data-sharing platforms, while shaping architecture, standards, and engineering practices across Capital One.
What you'll do
- Set technical strategy and architecture for scalable, governed data pipelines and sharing across business units.
- Design and code critical data projects, and promote platform performance, resiliency, operational excellence, and reusable solutions.
- Influence stakeholders, document data strategy, mentor engineers, and drive adoption of modern technologies.
What they ask for
- Bachelor’s Degree in Computer Science or a related quantitative field.
- At least 9 years of experience in data engineering and 5 years of experience in data architecture.
- At least 3 years of experience building applications in AWS.
- At least 7 years of programming experience with Python, Java, or Scala; at least 6 years designing and developing data pipelines.
Nice to have
- Master’s Degree in Computer Science or a related field.
- Experience with ontology standards, deploying machine learning models, cloud data workloads, distributed computing, streaming pipelines, observability or orchestration, NoSQL, data warehousing, Agile, or reusable data products.
Pay
$286,200 - $326,700 USD base salary (Remote); $314,800 - $359,300 USD base salary (McLean, VA); $343,400 - $392,000 USD base salary (New York, NY); $286,200 - $326,700 USD base salary (Richmond, VA)
Tools
AWS, Lakehouse, Kafka, Flink, Spark, Snowflake, Databricks, Python
AI focus
Researches and assesses emerging trends in data, AI, and engineering for platform strategy; preferred experience includes deploying machine learning models.
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