Data Engineer 5, Insights Platform

Capital One is building cloud-first data capabilities to support powerful experiences that help millions of Americans achieve financial empowerment. In this onsite role in Plano, TX, you will help drive a major transformation by designing, developing, and operating scalable data pipelines and platforms across modern data engineering, machine learning, and distributed systems.

What you’ll do

• Work with Agile teams to design, develop, test, implement, and support technical solutions using full-stack tools and technologies
• Partner across product managers and software engineers to deliver robust cloud-first data solutions
• Independently design, build, and deliver cloud data, API, and MCP solutions and applications with little or no support from supervisors or managers
• Build scalable, resilient, and operationally efficient data pipelines and platforms capable of performing under increasing data volume and business demand
• Architect and enforce shared data engineering design patterns to improve code quality, maintainability, and reusability across pipelines and platforms
• Lead end-to-end, large-scale transformative data initiatives, including evaluating platform choices such as Snowflake versus Databricks based on technical and business requirements
• Act as a data engineering ambassador by communicating technical concepts and data outcomes clearly to internal and external stakeholders
• Serve as a force-multiplier through deep, hands-on contributions and mentoring that elevates the skills of peers and junior engineers
• Use technologies such as Python and Spark alongside open-source relational and NoSQL databases and cloud-based data warehousing platforms

How you’ll build and operate

You’ll apply hands-on engineering across lakehouse-style architectures, distributed microservices, and full-stack systems. The role also emphasizes continuous learning, experimentation with new technologies, participation in internal and external technology communities, and knowledge sharing with the broader data community.

Requirements

• Bachelor’s degree (or higher) in Computer Science or a related quantitative field such as Statistics, Economics, Operations Research, Analytics, Mathematics, or 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, or 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 you may use

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

Incentives and benefits

• Eligible for 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 supporting total well-being (eligibility varies by role)

Compensation and location

Plano, TX (onsite): $209,000 - $238,500 per year (full-time annual range for Data Engineer 5).

Additional notes

• Capital One will consider sponsoring a new qualified applicant for employment authorization for this position
• Applications are expected to be accepted for a minimum of 5 business days
• No agencies please
• Equal opportunity employer (EOE, including disability and veterans), committed to non-discrimination in compliance with applicable laws
• Drug-free workplace
• Capital One will consider employment qualified applicants with a criminal history consistent with applicable laws
• Accommodation requests: contact Capital One Recruiting at 1-800-304-9102 or [email protected]
• Technical support for recruiting: [email protected]