Data Engineer 5

Capital One is hiring Data Engineers for Risk Tech to build and deploy proprietary risk management solutions powered by modern AI.

Responsibilities

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions using full-stack development tools and technologies
• Provide technical leadership to a team of developers, data analysts, and data scientists with experience in machine learning, distributed microservices, lakehouse architecture, and full-stack systems
• Use Python and Spark, along with open-source relational and NoSQL databases and cloud data warehousing platforms such as Databricks and Snowflake
• Partner with product managers and software engineers to deliver cloud-first data solutions supporting experiences for millions of Americans
• Independently design, build, and deliver cloud data solutions and applications with minimal supervision
• Architect and enforce shared data engineering design patterns to improve code quality, maintainability, and reuse across platforms and pipelines
• Design and build data pipelines and platforms focused on scalability, resilience, and operational efficiency for growing data volume and business demand
• Act as a data engineering ambassador by communicating technical concepts and data outcomes clearly to internal and external stakeholders
• Serve as a force-multiplier through deep hands-on delivery, innovation, and mentoring of peers and junior engineers
• Lead end-to-end, large-scale data initiatives, including critical architectural decisions (for example, evaluating Snowflake vs. Databricks) aligned to technical and business requirements

Requirements

• Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
• 6+ years of experience in application development (internship experience does not apply)
• 4+ years of experience in distributed data
• 4+ years of experience with SQL
• 4+ years of 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

• Python, Spark
• Databricks, Snowflake
• SQL
• Java, Scala
• NoSQL databases: MongoDB, Cassandra, DynamoDB
• Relational databases
• AWS, Microsoft Azure, Google Cloud
• EMR, Glue, Airflow, Dagster
• Monte Carlo, Splunk
• 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 & Salary Ranges

• McLean, VA: USD 229,900 - 262,400 (Data Engineer 5)
• Richmond, VA: USD 209,000 - 238,500 (Data Engineer 5)
• Eligible for performance-based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

Benefits

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

Other Information

• Onsite location: McLean, VA
• Capital One will consider sponsoring a new qualified applicant for employment authorization for this position
• Expected to accept applications for a minimum of 5 business days
• No agencies please
• Equal opportunity employer (EOE, including disability/vet)
• Promotes a drug-free workplace
• Considers qualified applicants with a criminal history in accordance with applicable laws
• Accommodation contact: 1-800-304-9102 or [email protected]
• Technical support or recruiting questions: [email protected]