Data Engineer 4

Capital One is driving a major transformation toward cloud-first data capabilities, and the Data Engineer 4 role supports that shift by designing, building, and operating distributed data solutions. In this onsite position in McLean, VA, you will work with Agile teams and influence engineers, analysts, and scientists on modern data engineering and machine learning technologies.

This role focuses on cloud data pipelines and platforms, lakehouse-oriented architectures, and security and compliance. You will also communicate technical concepts and data outcomes clearly to internal and external stakeholders to help teams align on shared understanding.

What you’ll do

• Partner across Agile teams to design, develop, test, implement, and support solutions using full-stack development tools and technologies
• Influence developers, data analysts, and data scientists with experience spanning machine learning, distributed microservices, lakehouse architecture, and full-stack systems
• Use Python and Spark with open-source relational and NoSQL databases, and cloud data warehousing platforms including Databricks and Snowflake
• Collaborate 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 little or no support from supervisors or managers
• Architect and enforce common data engineering design patterns to improve code quality, maintainability, and reusability
• Build pipelines and platforms with an emphasis on scalability, resilience, and operational efficiency as data volume and business demands grow
• Serve as a data engineering ambassador by communicating technical concepts and data outcomes to drive alignment across stakeholders
• Implement security standards including encryption at rest/transit and fine-grained access control to support data privacy regulation compliance

Required qualifications

• Bachelor’s Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
• At least 4 years of experience in application development (internship experience does not apply)
• At least 2 years of experience with distributed data
• At least 2 years of experience with SQL
• At least 2 years of experience with one programming language: Python, Java, or Scala
• At least 2 years of experience in data pipeline design and development
• At least 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, NoSQL, relational databases
• Encryption at rest/transit, fine-grained access control
• Machine learning, distributed microservices, lakehouse architecture

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 with 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

• McLean, VA (onsite): $197,300 - $225,100 per year
• New York, NY: $215,200 - $245,600 per year

Incentives

• Eligible to earn performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI)

Immigration authorization

Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (including H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other work authorization forms that require immigration support from an employer).

Accommodation and recruiting contact

• Accommodation contact: 1-800-304-9102 or [email protected]
• Technical support or recruiting process questions: [email protected]