Data Engineer 5, Insights Platform

Capital One is hiring a Data Engineer 5 for its Insights Platform in Plano, TX, focused on cloud-first data engineering and platform transformation. This role involves building and operating scalable data pipelines and services across distributed systems, lakehouse architectures, and modern data platforms.

Responsibilities

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions using full-stack development tools and technologies
• Provide technical influence to a group 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 and cloud data warehousing platforms, including Databricks and Snowflake
• Stay current on data engineering and related trends through experimentation, learning, participation in internal and external technology communities, and mentoring
• Work with product managers and software engineers to deliver robust cloud-first data solutions that support impactful experiences for millions of Americans
• Independently design, build, and deliver cloud data, API, and MCP solutions and applications with limited or no support from supervisors or managers
• Architect and enforce common data engineering design patterns to support code quality, maintainability, and reusability across pipelines and platforms
• Design and build data pipelines and platforms with a focus on scalability, resilience, and operational efficiency to meet growing volume and business demands
• Act as a force multiplier by balancing hands-on technical contributions and innovation with mentoring and elevating peer and junior engineer skills
• Lead and execute large-scale, transformative data initiatives end to end, including independent architectural decision-making and platform evaluations such as Snowflake versus Databricks
• Communicate technical concepts and data outcomes clearly to internal and external stakeholders to drive alignment and shared understanding

Requirements

• Bachelor’s Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
• At least 6 years of experience in application development (internship experience does not apply)
• At least 4 years of experience in distributed data
• At least 4 years of experience with SQL
• At least 4 years of experience programming with at least one of Python, Java, or Scala
• At least 4 years of experience designing and developing data pipelines
• At least 2 years of experience in data modeling and designing end-to-end data solutions using both relational and non-relational database systems

Technologies

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

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)

Preferred Qualifications

• Master’s Degree in Computer Science or a related field
• 8+ years of experience in data engineering
• 4+ years of data modeling experience
• 9+ years of experience in application development with demonstrated proficiency in Python, SQL, Scala, or Java
• 5+ years of hands-on experience designing, deploying, and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud)
• 5+ years of experience building or supporting distributed data or compute workloads using tools such as EMR, Spark, Glue, or Databricks
• 5+ years of experience designing, implementing, and operating real-time or streaming data pipelines
• 3+ years of experience working on data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster)
• 5+ years of experience working with unstructured or semistructured data using NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB)
• 5+ years of experience designing and supporting data warehousing solutions (e.g., Snowflake, Redshift)
• 3+ years of experience working in an Agile development environment
• 3+ years of experience developing user-centric reusable data products

Location and Salary

Location: Plano, TX (onsite)

Full-time annual salary range: $209,000 - $238,500 for Data Engineer 5

Other Role and Application Notes

• Capital One will consider sponsoring a new qualified applicant for employment authorization for this position
• This role is expected to accept applications for a minimum of 5 business days
• No agencies please
• Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws
• Capital One promotes a drug-free workplace
• Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with applicable laws regarding criminal background inquiries
• If you require an accommodation, contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]
• For technical support or questions about Capital One’s recruiting process, send an email to [email protected]