Senior Data Engineer: Cloud Data Pipelines & ML

Capital One; McLean (VA); On-site; USD 230,000 - 262,000; Full time

Job summary

Capital One is seeking a Data Engineer to join a large, collaborative team driving a major transformation in data platforms. You will design and implement cloud-native data pipelines, work with Python, Spark, and SQL, and collaborate with data scientists and product managers to deliver scalable data solutions that empower millions of Americans.

This on-site role in McLean, VA emphasizes mentorship, architecture decisions, and cross-team alignment.

Qualifications

• Bachelor's degree in a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering).
• 6+ years of experience in application development.
• 4+ years of distributed data experience.
• 4+ years of SQL experience.
• 4+ years of programming with Python, Java, or Scala.
• 4+ years of designing and developing data pipelines.
• 2+ years of data modeling and end-to-end data solutions.

Responsibilities

• Collaborate with Agile teams to design and develop data solutions.
• Influence teams with experience in machine learning, distributed microservices, data lakes, and full-stack systems.
• Use Python, Spark, SQL and cloud-based data warehousing platforms (Databricks, Snowflake).
• Design and deliver cloud-first data solutions at scale.
• Architect data engineering patterns for maintainability across platforms.
• Lead large-scale data initiatives end-to-end and evaluate platform choices.
• Communicate data outcomes to stakeholders to drive alignment.

Skills

SQL

Python

Java/Scala

Distributed data

Data modeling

Cloud

Agile

Mentoring

Education

Bachelor's Degree in CS or related field

Master’s Degree

Tools

Databricks

Snowflake

EMR

Spark

Airflow

Dagster

MongoDB

Cassandra

DynamoDB

Job description

Capital One is seeking a Data Engineer to join a large, collaborative team driving a major transformation in data platforms. You will design and implement cloud-native data pipelines, work with Python, Spark, and SQL, and collaborate with data scientists and product managers to deliver scalable data solutions that empower millions of Americans.

This on-site role in McLean, VA emphasizes mentorship, architecture decisions, and cross-team alignment.