Data Engineer 5

Capital One seeks a Data Engineer 5 to help modernize a cloud-first core banking platform with scalable, resilient data solutions.

Responsibilities

• Partner with Agile teams to design, develop, test, implement, and support solutions across full-stack development tools and technologies
• Guide teams of developers, data analysts, and data scientists with experience spanning machine learning, distributed microservices, lakehouse architecture, and full-stack systems
• Build with Python and Spark, using open-source relational and NoSQL databases and cloud data warehousing platforms such as Databricks and Snowflake
• Stay current on data engineering trends through experimentation, learning new technologies, and participation in internal and external technology communities
• Mentor members of the data community and share learnings and best practices
• Collaborate with product managers and software engineers to deliver robust cloud-first data solutions for large-scale customer impact
• 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
• Design and build data pipelines and platforms focused on scalability, resilience, and operational efficiency
• Ensure robust performance as data volume and business demand increase
• Act as a data engineering ambassador by communicating technical concepts and data outcomes clearly to internal and external stakeholders
• Serve as a force-multiplier by balancing hands-on engineering with innovation and peer mentoring
• Lead and execute end-to-end, large-scale data initiatives, driving critical architectural decisions and evaluating platform options such as Snowflake vs. Databricks based on 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 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, SQL
• Databricks, Snowflake
• Java, Scala
• EMR, Glue, Airflow, Dagster
• Monte Carlo, Splunk
• AWS, Microsoft Azure, Google Cloud
• NoSQL databases: 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 application development experience with demonstrated proficiency in Python, SQL, Scala, or Java
• 5+ years hands-on experience designing, deploying, and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud)
• 5+ years experience building or supporting distributed data or compute workloads using tools such as EMR, Spark, Glue, or Databricks
• 5+ years designing, implementing, and operating real-time or streaming data pipelines
• 3+ years experience in data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster)
• 5+ years working with unstructured or semistructured data using NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB)
• 5+ years designing and supporting data warehousing solutions (e.g., Snowflake, Redshift)
• 3+ years experience working in an Agile development environment
• 3+ years experience developing user-centric reusable data products

Hybrid Work Location

• This role is designated as hybrid; you are expected to follow Capital One’s hybrid policy for on-site presence at your designated office location.
• Location: McLean, VA (hybrid)

Compensation

• Salary (full-time, annual): USD 229,900 - 262,400
• McLean, VA: $229,900 - $262,400
• New York, NY: $250,800 - $286,200
• Richmond, VA: $209,000 - $238,500
• Wilmington, DE: $209,000 - $238,500

• This role may be eligible for performance-based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).

Workplace Statements

• Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits supporting total well-being.
• Applications are expected to be accepted for a minimum of 5 business days.
• No agencies please.
• Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws.
• Capital One promotes a drug-free workplace.