Data Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)

About the role

Capital One is seeking Data Engineers who are passionate about marrying data with emerging technologies. You will join the Marketing and Messaging team, which delivers hyper‑personalized messages and experiences across owned and paid AdTech channels. The team builds scalable platforms that enable omnichannel messaging and drives business value.

Responsibilities

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full‑stack development tools and technologies.
• Influence a team of developers, data analysts, and data scientists with deep experience in machine learning, distributed microservices, lakehouse architecture, and full‑stack systems.
• Utilize programming languages such as Python and Spark, along with open‑source relational and NoSQL databases, and cloud‑based data warehousing platforms including Databricks and Snowflake.
• Stay on top of data trends, experiment with new technologies, participate in internal and external technology communities, and mentor other members of the data community.
• Collaborate with product managers and software engineers to deliver robust cloud‑first data solutions that empower millions of Americans financially.
• Independently design, build, and deliver world‑class cloud data solutions and applications with minimal supervision.
• Architect and enforce common data engineering design patterns to ensure code quality, maintainability, and reusability across data platforms and pipelines.
• Serve as an ambassador for the data engineering team, communicating technical concepts and data outcomes clearly to internal and external stakeholders.
• Design and build data pipelines and platforms focused on scalability, resilience, and operational efficiency, ensuring robust performance under increasing data volume and business demands.
• Implement data security standards, including encryption at rest/transit and fine‑grained access control, to ensure compliance with data privacy regulations.

Basic 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 in 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.

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 working on data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster).
• 4+ years of experience working with unstructured or semi‑structured 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.

Pay

McLean, VA: $197,300 – $225,100 for Data Engineer 4.
Riverwoods, IL: $179,400 – $204,700 for Data Engineer 4.
Candidates hired in other locations will receive the pay range associated with that location. The role is also eligible for performance‑based incentive compensation, which may include cash bonuses and/or long‑term incentives.

Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support total well‑being. Eligibility varies based on full‑ or part‑time status, exempt or non‑exempt status, and management level.