Data Engineer 4 - Payment Networks

Capital One is hiring a Data Engineer 4 for Payment Networks in McLean, VA to support a major transformation. In this onsite role, you will help build cloud-first data solutions and scalable, secure data platforms and pipelines that support payment network capabilities.

What you’ll do

• Partner with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
• Guide a team of developers, data analysts, and data scientists with experience across machine learning, distributed microservices, lakehouse architecture, and full-stack systems
• Use Python and Spark alongside open-source relational and NoSQL databases, plus cloud data warehousing platforms such as Databricks and Snowflake
• Stay current on data engineering trends, experiment with new technologies, participate in internal and external communities, and mentor others
• Work with product managers and software engineers to deliver robust cloud-first data solutions that help millions of Americans achieve financial empowerment
• 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 across platforms and pipelines
• Design and build data pipelines and platforms focused on scalability, resilience, and operational efficiency, maintaining performance as data volume and business demands grow
• Implement data security standards including encryption at rest/transit and fine-grained access control to support data privacy compliance
• Act as an ambassador for the data engineering team by communicating technical concepts and data outcomes to internal and external stakeholders

Minimum requirements

• Bachelor’s Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
• 4+ years of application development experience (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 you’ll work with

• Python, Spark
• Databricks, Snowflake
• SQL
• Open-source relational databases, NoSQL databases
• Encryption at rest/transit, fine-grained access control
• Relational database systems, non-relational database systems

Education, salary, and incentives

The salary range for Data Engineer 4 in McLean, VA is USD 197,300 - 225,100 per year. The role may also be eligible for performance-based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). This position is listed as onsite in McLean, VA, with additional salary information provided for New York, NY.

Benefits

• Comprehensive, competitive, and inclusive set of health, financial, and other benefits
• Performance based incentive compensation may include cash bonus(es) and/or long term incentives (LTI)

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 working on 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 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

Employment authorization / immigration support

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

Other notes: This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to non-discrimination in compliance with applicable laws and promotes a drug-free workplace. If you require an accommodation, contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]. For technical support or recruiting process questions, email [email protected].