Data Engineer 4 (Manager, IC)

In this onsite Data Engineer 4 (Manager, IC) role, you will support Capital One Risk Tech by partnering with GRC and cross-functional company teams to design, build, and deploy cloud-first, AI-powered risk management solutions. The work centers on scalable data pipelines and platforms, strong data security practices, and practical leadership through mentoring and influence across Agile delivery.

Location, Salary, and Experience

• Location: Richmond, VA (onsite)
• Salary: USD 179,400 - 204,700 per year
• Minimum experience: 4 years
• Education: Bachelor’s Degree or higher in Computer Science or a related quantitative field

What You’ll Do

• Collaborate across Agile teams to design, develop, test, implement, and support technical solutions within full-stack development tools and technologies
• Influence a team of developers, data analysts, and data scientists with experience spanning 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
• Stay current on data engineering trends by experimenting with new technologies, participating in internal and external tech communities, and mentoring other data community members
• Partner with product managers and software engineers to deliver robust cloud-first data solutions that enable experiences for millions of Americans focused on 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 pipelines and platforms focused on scalability, resilience, and operational efficiency, with performance under increasing data volume and business demand
• Implement data security standards, including encryption at rest and in transit and fine-grained access control, to ensure compliance with data privacy regulations
• Serve as an ambassador for the data engineering team by clearly communicating technical concepts and data outcomes to internal and external stakeholders

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 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

Technologies You May Work With

• Python, Spark, Databricks, Snowflake, SQL, NoSQL
• MongoDB, Cassandra, DynamoDB
• EMR, Glue, Airflow, Dagster
• Monte Carlo, Splunk, Redshift
• AWS, Microsoft Azure, Google Cloud
• Scala, Java

Incentives and Benefits

• Performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI)
• Comprehensive, competitive, and inclusive health, financial, and other benefits that support total well-being

Additional Information

• This role is expected to accept applications for a minimum of 5 business days
• No agencies please
• Capital One will not sponsor a new applicant for employment authorization, or offer immigration-related support for this position
• Capital One is an equal opportunity employer committed to non-discrimination in compliance with applicable federal, state, and local laws (EOE, including disability/veter)
• Capital One promotes a drug-free workplace
• Candidates hired to work in other locations will be subject to the pay range associated with that location
• Capital One does not provide, endorse, or guarantee third-party products, services, educational tools, or other information available through this site
• For technical support or questions about the recruiting process, email [email protected]

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

Related Pay Range (Other Location)

• McLean, VA: USD 197,300 - 225,100 per year