Data Engineer 5 - Enterprise Risk Management

Capital One is looking for a Data Engineer 5 to support a major transformation within Enterprise Risk Management. In this onsite role in McLean, VA, you will help design and deliver cloud-first data solutions, modernize data pipelines and platforms, and collaborate with cross-functional teams to bring reliable, scalable capabilities to the organization.

What you’ll do

• Work with Agile teams to design, develop, test, implement, and support technical solutions across full-stack development tools and technologies
• Guide and influence developers, data analysts, and data scientists through expertise spanning machine learning, distributed microservices, lakehouse architecture, and full-stack systems
• Build with Python and Spark while using open-source relational and NoSQL databases and cloud data warehousing platforms such as Databricks and Snowflake
• Stay current with data engineering trends, experiment with emerging technologies, participate in internal and external technology communities, and mentor peers
• Partner with product managers and software engineers to deliver robust cloud-first data solutions that support experiences for millions of Americans
• Independently design, build, and deliver cloud data solutions and applications with limited supervision
• Define and enforce common data engineering design patterns to improve code quality, maintainability, and reusability across platforms and pipelines
• Create data pipelines and platforms optimized for scalability, resilience, and operational efficiency, including performance under increasing data volume and business demands
• Act as a force multiplier by balancing hands-on engineering, innovation, and mentoring to elevate team capability
• Lead end-to-end large-scale data initiatives, including architectural decisions and platform evaluations such as Snowflake versus Databricks based on technical and business needs
• Communicate technical concepts and data outcomes clearly to internal and external stakeholders to build alignment

Qualifications

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

Technologies you may work with

• Python, Spark, Databricks, Snowflake, SQL
• Java, Scala, NoSQL
• AWS, Microsoft Azure, Google Cloud
• EMR, Glue, Airflow, Dagster
• Monte Carlo, Splunk
• MongoDB, Cassandra, DynamoDB, Redshift

Preferred qualifications

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

Compensation and location

• McLean, VA: $229,900 - $262,400 per year
• Richmond, VA: $209,000 - $238,500 per year
• This role is expected to accept applications for a minimum of 5 business days
• No agencies please

Incentives and benefits

• Eligible for performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI)
• Comprehensive, competitive, and inclusive health, financial, and other benefits to support total well-being