Senior Data Engineer, Cloud-First Analytics

capitalone; Richmond (VA); On-site; USD 209,000 - 239,000; Full time

Job summary

Capital One is seeking a Data Engineer 5 in Richmond, VA to design and deliver cloud-first data solutions. You will work with Agile teams across data engineers, analysts, and scientists to build scalable pipelines using Python, Spark, Databricks, and Snowflake.

The role requires strong SQL, distributed data experience, and the ability to mentor others while driving architectural decisions and data quality across platforms.

Qualifications

• Bachelor’s degree in Computer Science or related quantitative field.
• 4+ years in distributed data engineering and 4+ years SQL experience.
• Experience building data pipelines and end-to-end data solutions.

Responsibilities

• Collaborate with Agile teams to design, develop, test, and support data solutions.
• Influence teams with experience in lakehouse architectures and cloud data warehouses.
• Design and deliver cloud-first data pipelines with emphasis on scalability and reliability.
• Mentor peers and share data engineering best practices.

Skills

Python

SQL

Scala/Java

Spark

Databricks

Snowflake

Cloud (AWS/Azure/GCP)

Education

Bachelor's degree in CS or related field

Master’s degree (preferred)

Tools

Databricks

Snowflake

Spark

EMR

Airflow

Dagster

Kubernetes

Job description

Capital One is seeking a Data Engineer 5 in Richmond, VA to design and deliver cloud-first data solutions. You will work with Agile teams across data engineers, analysts, and scientists to build scalable pipelines using Python, Spark, Databricks, and Snowflake.

The role requires strong SQL, distributed data experience, and the ability to mentor others while driving architectural decisions and data quality across platforms.