Senior Data Engineer & Tech Lead (IC)

Capital One Group; Richmond (VA); Hybrid; USD 179,000 - 205,000; Full time

Job summary

Capital One is seeking a Data Engineer 4 to join Risk Tech and drive data-driven risk management solutions. You’ll work with AI-powered tools, build scalable data pipelines, and mentor a team of engineers, analysts, and data scientists.

You’ll design cloud-first data platforms using Python, Spark, Databricks, Snowflake, and NoSQL databases, delivering robust, secure data products for enterprise insights.

Qualifications

• BS degree or higher in Computer Science or related quantitative field.
• At least 4 years of application development experience.
• At least 2 years of distributed data experience.
• At least 2 years of SQL experience.
• At least 2 years of experience in 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.

Responsibilities

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.
• Influence a team of developers, data analysts and data scientists with deep experience in machine learning, distributed microservices, lakehouse architecture, and full-stack systems.
• Utilize programming languages such as Python and Spark, along with open-source relational and NoSQL databases, and cloud-based data warehousing platforms including Databricks and Snowflake.
• Share your passion for staying on top of trends in data, experimenting with and learning new technologies, participating in internal and external technology communities, and mentoring other members of the data community.
• Collaborate with product managers and software engineers to deliver robust cloud-first data solutions that drive powerful experiences to help millions of Americans achieve financial empowerment.
• Independently design, build and deliver world-class cloud data solutions and applications with little or no support from supervisors or managers.
• Architect and enforce common data engineering design patterns to ensure code quality, maintainability, and reusability across data platforms and pipelines.
• Serve as an ambassador for the data engineering team, communicating technical concepts and data outcomes clearly to both internal and external stakeholders to drive alignment and shared understanding.
• Design and build data pipelines and platforms with a focus on scalability, resilience, and operational efficiency, ensuring robust performance under increasing data volume and business demands.
• Implement data security standards, including encryption at rest/transit and fine-grained access control, ensuring compliance with data privacy regulations.

Skills

SQL

Programming (Python/Java/Scala)

Data pipelines

Data modeling

Distributed data

Cloud platforms

Education

Bachelor's degree in Computer Science or related field

Tools

EMR

Spark

Glue

Databricks

Airflow

Dagster

Snowflake

Redshift

MongoDB

DynamoDB

Job description

Capital One is seeking a Data Engineer 4 to join Risk Tech and drive data-driven risk management solutions. You’ll work with AI-powered tools, build scalable data pipelines, and mentor a team of engineers, analysts, and data scientists.

You’ll design cloud-first data platforms using Python, Spark, Databricks, Snowflake, and NoSQL databases, delivering robust, secure data products for enterprise insights.