Senior Data Engineer IV – AI-Driven Risk Tech (IC)

Capital One; McLean (VA); On-site; USD 197,000 - 225,000; Full time

Job summary

Capital One is seeking Data Engineers to help drive risk tech modernization with AI-powered data solutions. You will collaborate with cross-functional teams to design and deploy cloud-first data pipelines, enabling scalable analytics and risk insights that empower millions of customers.

We value hands-on experience with Python, SQL, Spark, and modern data warehouses, plus the ability to mentor teammates and promote robust data models and secure practices.

Qualifications

• Bachelor's degree in CS or a related quantitative field.
• At least 4 years in application development.
• At least 2 years in distributed data and SQL.
• 2+ years with Python, Java, or Scala.
• 2+ years in data pipeline design and development.
• 1+ year in data modeling and end-to-end data solutions.
• Experience with relational and NoSQL databases.

Responsibilities

• Collaborate with Agile teams to design, develop, test, and support data solutions.
• Architect and deliver cloud-first data pipelines and platforms at scale.
• Mentor teammates and enforce data engineering design patterns.
• Ensure data security, governance, and compliance across platforms.

Skills

Python

SQL

Spark

Machine learning

Data modeling

Data pipelines

Distributed systems

Education

Bachelor's Degree in Computer Science or related field

Tools

Databricks

Snowflake

SQL databases

AWS/Azure/GCP

EMR

Airflow

Dagster

MongoDB

Cassandra

DynamoDB

Redshift

Job description

Capital One is seeking Data Engineers to help drive risk tech modernization with AI-powered data solutions. You will collaborate with cross-functional teams to design and deploy cloud-first data pipelines, enabling scalable analytics and risk insights that empower millions of customers.

We value hands-on experience with Python, SQL, Spark, and modern data warehouses, plus the ability to mentor teammates and promote robust data models and secure practices.