Data Engineer 4, Auto Data Platforms

Capital One • Plano, TX

1d

About The Position

Capital One is seeking a Data Engineer to help drive a major technology transformation by building cloud-first data solutions and applications. The role works across Agile teams and collaborates with developers, data analysts, data scientists, product managers, and software engineers to deliver robust data capabilities that support customer experiences.

The position independently designs, builds, and delivers cloud data solutions, data pipelines, and platforms, with a focus on scalability, resilience, and operational efficiency. It establishes and enforces data engineering design patterns for code quality, maintainability, and reusability, and applies data security standards such as encryption and fine-grained access controls. The engineer also communicates technical concepts and data outcomes to stakeholders, keeps current with technology trends, and mentors members of the 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.
• At least 4 years of application development experience; internship experience does not apply.
• At least 2 years of experience in distributed data.
• At least 2 years of SQL experience.
• At least 2 years of experience with one programming language: Python, Java, or Scala.
• At least 2 years of data pipeline design and development experience.
• At least 1 year of experience in data modeling and designing end-to-end data solutions using relational and non-relational database systems.

Nice To Haves

• 7+ years of application development experience with demonstrated proficiency in Python, SQL, Scala, or Java.
• 4+ years of hands-on experience designing, deploying, and operating data workloads in a public cloud environment such as 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 tools such as Monte Carlo or Splunk, or data orchestration tools such as Airflow or Dagster.
• 4+ years of experience working with unstructured or semistructured data using NoSQL databases such as MongoDB, Cassandra, or DynamoDB.
• 4+ years of experience designing and supporting data warehousing solutions such as Snowflake or Redshift.
• 2+ years of experience working in an Agile development environment.
• 2+ years of experience developing user-centric reusable data products.

Responsibilities

• Collaborate across Agile teams to design, develop, test, implement, and support technical solutions.
• Influence and work with developers, data analysts, and data scientists on machine learning, distributed microservices, lakehouse architecture, and full-stack systems.
• Use programming languages and data technologies such as Python, Spark, relational and NoSQL databases, Databricks, and Snowflake.
• Stay current with data technology trends, experiment with new technologies, participate in technology communities, and mentor data community members.
• Collaborate with product managers and software engineers to deliver cloud-first data solutions.
• Independently design, build, and deliver cloud data solutions and applications.
• Architect and enforce common data engineering design patterns to support code quality, maintainability, and reusability.
• Communicate technical concepts and data outcomes clearly to stakeholders.
• Design and build scalable, resilient, and operationally efficient data pipelines and platforms.
• Implement data security standards, including encryption at rest and in transit and fine-grained access controls, in compliance with data privacy regulations.

Benefits

• Comprehensive health, financial, and other benefits supporting total well-being.
• Eligibility for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior