Senior Data Engineer, Risk Tech — AI & Cloud

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

Job summary

Capital One is seeking a Data Engineer 5 (Senior Manager, IC) in Risk Tech to drive a major data transformation. You will design and deliver cloud data solutions, mentor a team, and collaborate across Agile teams with Python, Spark, and SQL in a data-rich, AI-enabled environment.

You will lead end-to-end data initiatives, evaluate platform choices like Snowflake vs. Databricks, and work with GRC partners to build proactive risk-management tools used by millions.

Qualifications

• Bachelor's degree in Computer Science or related quantitative field.
• At least 6 years in application development; 4+ years in distributed data; 4+ years SQL; 4+ years in programming with Python/Java/Scala; 4+ years building data pipelines; 2+ years data modeling with relational/non-relational databases.

Responsibilities

• Collaborate with Agile teams to design, develop, test, and support data solutions.
• Lead and mentor developers, data analysts, and data scientists.
• Build data pipelines and platforms focusing on scalability and efficiency.
• Architect data engineering patterns for quality and reusability.
• Deliver cloud-first data solutions to enable financial empowerment for users.

Skills

Python

SQL

Spark

Java

Scala

Machine learning

Education

Bachelor's Degree in CS or related field

Master's Degree

Tools

Databricks

Snowflake

Airflow

Job description

Capital One is seeking a Data Engineer 5 (Senior Manager, IC) in Risk Tech to drive a major data transformation. You will design and deliver cloud data solutions, mentor a team, and collaborate across Agile teams with Python, Spark, and SQL in a data-rich, AI-enabled environment.

You will lead end-to-end data initiatives, evaluate platform choices like Snowflake vs. Databricks, and work with GRC partners to build proactive risk-management tools used by millions.