Senior Data Engineer - Cloud Data Platforms & ML Pipelines

Capital One National Association; McLean (VA); Hybrid; USD 230,000 - 262,000; Full time

Job summary

Capital One is seeking a Data Engineer 5 in McLean, VA to lead cloud-first data solutions, design and deliver scalable data pipelines, and mentor junior engineers. The role requires strong skills in Python/SQL, distributed data, and experience with Databricks and Snowflake.

The team focuses on omnichannel AdTech platforms, ML-driven data solutions, and robust data architectures to empower financial decisions for millions of Americans.

Qualifications

• Bachelor's degree in Computer Science or related quantitative field.
• At least 6 years of experience in application development.
• At least 4 years of experience in distributed data and SQL.
• At least 4 years of experience programming in Python, Java, or Scala.
• At least 4 years of experience designing and developing data pipelines.
• At least 2 years of experience in data modeling and end-to-end data solutions.

Responsibilities

• Design, develop, test, implement, and support full-stack data solutions.
• Influence a team of developers, data analysts, and data scientists.
• Collaborate with product managers and engineers to deliver cloud-first data platforms.
• Architect and enforce reusable data engineering patterns across pipelines.

Skills

SQL

Python

Java

Scala

Education

Bachelor's Degree in CS or related

Master's Degree (preferred)

Tools

Databricks

Snowflake

Spark

EMR

Glue

Dagster

Airflow

Job description

Capital One is seeking a Data Engineer 5 in McLean, VA to lead cloud-first data solutions, design and deliver scalable data pipelines, and mentor junior engineers. The role requires strong skills in Python/SQL, distributed data, and experience with Databricks and Snowflake.

The team focuses on omnichannel AdTech platforms, ML-driven data solutions, and robust data architectures to empower financial decisions for millions of Americans.