Data Engineer 4 (Manager, IC)

Capital One is building cloud-first data solutions that help create powerful experiences for millions of Americans. This onsite Data Engineer 4 (Manager, IC) role in Richmond, VA centers on driving a major data transformation through design, development, testing, implementation, and ongoing support of scalable data platforms.

You will work with teams across Agile environments, influence how engineering design patterns are applied for quality and reuse, and help ensure data pipelines are secure, resilient, and operationally efficient. The position blends independent execution with team leadership, including mentoring and clear communication of data outcomes to stakeholders.

What you’ll do

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions across full-stack development tools and technologies
• Influence a team of developers, data analysts, and data scientists with experience in machine learning, distributed microservices, lakehouse architecture, and full-stack systems
• Build and support cloud data solutions using Python and Spark, open-source relational and NoSQL databases, and cloud data warehousing platforms such as Databricks and Snowflake
• Independently design, build, and deliver cloud data solutions and applications with little or no support from supervisors or managers
• Architect and enforce common data engineering design patterns to improve code quality, maintainability, and reusability across pipelines
• Design and build data pipelines and platforms focused on scalability, resilience, and operational efficiency as data volume and business demands grow
• Implement data security standards, including encryption at rest/transit and fine-grained access control, aligned to data privacy regulations
• Serve as a data engineering ambassador by communicating technical concepts and data outcomes clearly to internal and external stakeholders
• Stay current with data trends, experiment with new technologies, participate in internal and external technology communities, and mentor other members of the data community
• Partner with product managers and software engineers to deliver robust cloud-first data solutions

Required qualifications

• Bachelor’s Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
• 4+ years of experience in application development (internship experience does not apply)
• 2+ years experience in distributed data
• 2+ years experience with SQL
• 2+ years experience with one programming language: Python, Java, or Scala
• 2+ years experience in data pipeline design and development
• 1+ year experience in data modeling and designing end-to-end data solutions using both relational and non-relational database systems

Technologies you may use

• Python, Spark, Databricks, Snowflake, SQL
• EMR, Glue, NoSQL, MongoDB, Cassandra, DynamoDB, Redshift, Airflow, Dagster, Monte Carlo, Splunk
• AWS, Microsoft Azure, Google Cloud, Scala, Java
• Encryption at rest, encryption in transit, fine-grained access control

Preferred qualifications

• 7+ years of experience in application development with demonstrated proficiency in Python, SQL, Scala, or Java
• 4+ years of hands-on experience designing, deploying, and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud)
• 4+ years of experience building or supporting distributed data or compute workloads using tools such as EMR, Spark, Glue, or Databricks
• 4+ years of experience designing, implementing, and operating real-time or streaming data pipelines
• 2+ years of experience working on data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster)
• 4+ years of experience working with unstructured or semistructured data using NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB)
• 4+ years of experience designing and supporting data warehousing solutions (e.g., Snowflake, Redshift)
• 2+ years of experience working in an Agile development environment
• 2+ years of experience developing user-centric reusable data products

Compensation and location

• Richmond, VA (onsite): USD 179,400 - 204,700 per year
• Other locations (if applicable): Cambridge, MA; McLean, VA (USD 197,300 - 225,100 per year for Data Engineer 4)
• Eligible for performance-based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits to support total well-being.