Senior Data Engineer - End-to-End Cloud Pipelines

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

Job summary

Capital One is seeking Data Engineers in Richmond, VA to drive cloud-first data solutions across the organization. You will design, build and scale data pipelines and platforms, mentoring peers and collaborating with product managers and engineers to deliver robust data products.

The role emphasizes architecture decisions, performance, and scalability, with opportunities to influence tech direction and stay current with evolving data technologies.

Qualifications

• Bachelor’s degree in CS or related quantitative field.
• 6+ years of application development experience.
• 4+ years in distributed data.
• 4+ years SQL experience.
• 4+ years programming in Python, Java, or Scala.
• 4+ years data pipelines development.
• 2+ years data modeling for end-to-end data solutions.

Responsibilities

• Collaborate with Agile teams to design and maintain data solutions.
• Influence a team with ML, microservices, lakehouse architecture.
• Use Python and Spark with SQL/NoSQL databases and cloud data warehousing.
• Mentor data community members and share best practices.
• Deliver cloud-first data solutions that empower customers financially.
• Design and deliver scalable data pipelines and platforms.
• Lead large-scale data initiatives end-to-end and evaluate platform choices.

Skills

SQL

Python

Java/Scala

Data pipelines

Data modeling

Distributed data

Agile

Data warehousing concepts

Education

Bachelor's degree in CS or related field

Master’s degree in CS or related field

Tools

Databricks

Snowflake

EMR

Spark

Redshift

NoSQL databases

Job description

Capital One is seeking Data Engineers in Richmond, VA to drive cloud-first data solutions across the organization. You will design, build and scale data pipelines and platforms, mentoring peers and collaborating with product managers and engineers to deliver robust data products.

The role emphasizes architecture decisions, performance, and scalability, with opportunities to influence tech direction and stay current with evolving data technologies.