Senior Data Engineer, Risk Tech — AI-Driven Platforms

Capital One; Richmond (VA); On-site; USD 179,000 - 205,000; Full time

Job summary

Capital One in McLean, VA is seeking a Data Engineer 4 (Manager IC) for Risk Tech to lead data engineering efforts, building cloud-first data solutions and coordinating with ML, lakehouse, and distributed systems.

You will design scalable pipelines, enforce security, mentor teammates, and collaborate with product managers to deliver impactful capabilities for millions of customers, leveraging Python, Spark, Databricks, and Snowflake.

Qualifications

• Bachelor's degree in CS or quantitative field.
• 4+ years in application development.
• 2+ years distributed data experience.
• 2+ years SQL experience.
• 2+ years programming in Python/Java/Scala.
• 2+ years data pipeline design and development.
• 1+ year data modeling with relational and non-relational systems.

Responsibilities

• Collaborate with Agile teams to design, develop, test, and support data solutions.
• Lead a team of developers, data analysts, and data scientists.
• Work with Python, Spark, and cloud data warehousing platforms (Databricks, Snowflake).
• Design scalable data pipelines with strong data security practices.
• Mentor data community members and evangelize best practices.
• Partner with product managers to deliver cloud-first data solutions that scale.
• Architect reusable data engineering patterns across platforms.

Skills

Python

SQL

Spark

Java/Scala

Cloud

Data pipelines

Machine learning concepts

Team leadership

Education

Bachelor's Degree in Computer Science or related quantitative field

Tools

Databricks

Snowflake

EMR

Glue

Airflow

Dagster

Job description

Capital One in McLean, VA is seeking a Data Engineer 4 (Manager IC) for Risk Tech to lead data engineering efforts, building cloud-first data solutions and coordinating with ML, lakehouse, and distributed systems.

You will design scalable pipelines, enforce security, mentor teammates, and collaborate with product managers to deliver impactful capabilities for millions of customers, leveraging Python, Spark, Databricks, and Snowflake.