Data Engineer 4 - ERM Transformation

Capital One is seeking a Data Engineer 4 to support ERM Transformation efforts by designing, building, and operating cloud-first data solutions and pipelines. The role focuses on risk management capabilities powered by modern AI technologies, with an emphasis on scalability, security, and operational efficiency.

Role Responsibilities

• Partner with and across Agile teams to design, develop, test, implement, and support technical solutions using full-stack development tools and technologies
• Provide technical influence across a team of developers, data analysts, and data scientists with expertise in machine learning, distributed microservices, lakehouse architecture, and full-stack systems
• Use programming languages such as Python and Spark, along with open-source relational and NoSQL databases and cloud data warehousing platforms including Databricks and Snowflake
• Stay current on data engineering trends by experimenting with and learning new technologies, participating in internal and external technology communities, and mentoring members of the data community
• Work 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
• Architect and enforce common data engineering design patterns to improve code quality, maintainability, and reusability across platforms and pipelines
• Build data pipelines and platforms with focus on scalability, resilience, and operational efficiency to maintain performance as volume and business demands increase
• Implement data security standards, including encryption at rest/transit and fine-grained access control, to support compliance with data privacy regulations
• Act as an ambassador for the data engineering team by communicating technical concepts and data outcomes clearly to internal and external stakeholders

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 of experience in distributed data
• 2+ years of experience with SQL
• 2+ years of experience with one programming language: Python, Java, or Scala
• 2+ years of experience in data pipeline design and development
• 1+ year of experience in data modeling and designing end-to-end data solutions using both relational and non-relational database systems

Technologies

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

Compensation and Location

Location: Richmond, VA (onsite)

Estimated annual salary range: USD 179,400 - 204,700

This role may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Other location salary ranges: McLean, VA ($197,300 - $225,100) and New York, NY ($215,200 - $245,600).