Data Engineer 4, Auto Data Platforms

Capital One • Plano, TX

20h • $179,400 - $204,700

About The Position

Capital One is seeking a Data Engineer to help drive a major transformation by combining data with emerging technologies. The role involves independently designing, building, and delivering cloud data solutions and applications, and collaborating across Agile teams with product managers, software engineers, developers, data analysts, and data scientists. The engineer will build scalable, resilient, and operationally efficient data pipelines and platforms; establish and enforce engineering design patterns; and implement data security standards, including encryption and fine-grained access controls. The role also includes communicating technical concepts and data outcomes to stakeholders, learning and sharing new technologies, and mentoring members of the data community. The position is listed for Plano, Texas, with a full-time annual salary range of $179,400 to $204,700, and is eligible for performance-based incentive compensation.

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 count.
• At least 2 years of distributed data experience.
• 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 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 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 across machine learning, distributed microservices, lakehouse architecture, and full-stack systems.
• Use Python and Spark, open-source relational and NoSQL databases, and cloud-based data warehousing platforms such as Databricks and Snowflake.
• Stay current with data trends and emerging technologies, participate in technology communities, and mentor members of the data community.
• Collaborate with product managers and software engineers to deliver cloud-first data solutions.
• Independently design, build, and deliver cloud data solutions and applications with little or no supervisory support.
• Architect and enforce common data engineering design patterns that support code quality, maintainability, and reusability.
• Communicate technical concepts and data outcomes to internal and external 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 control, to support compliance with data privacy regulations.

Benefits

• Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being; eligibility varies by employment status and management level.
• 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