Senior Data Engineer, Risk Tech - AI-Driven Risk

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

Job summary

Capital One is seeking a Data Engineer 4 (Manager, IC) in Risk Tech to drive data engineering across risk management initiatives. You will collaborate with cross-functional teams to design, build, and deploy scalable data pipelines and platforms using Python, Spark, and cloud-native technologies.

You will mentor teammates, enforce data engineering design patterns, and ensure secure, compliant data access across distributed environments, enabling advanced analytics and ML-driven insights.

Qualifications

• Bachelor's degree or higher in a quantitative field.
• 4+ years of application development experience.
• 2+ years in distributed data.
• 2+ years of SQL experience.
• 2+ years in one programming language (Python, Java, or Scala).
• 2+ years in data pipeline design and development.

Responsibilities

• Collaborate with Agile teams to design, develop, test, and support data solutions.
• Influence teams with ML, microservices, lakehouse architecture, and full-stack systems.
• Build cloud-first data solutions using Python, Spark, SQL, and NoSQL databases.

Skills

Python

SQL

Spark

Databricks

Snowflake

NoSQL

Cloud platforms

Education

Bachelor's degree in Computer Science or related field

Tools

EMR

Airflow

Kubernetes

Glue

Job description

Capital One is seeking a Data Engineer 4 (Manager, IC) in Risk Tech to drive data engineering across risk management initiatives. You will collaborate with cross-functional teams to design, build, and deploy scalable data pipelines and platforms using Python, Spark, and cloud-native technologies.

You will mentor teammates, enforce data engineering design patterns, and ensure secure, compliant data access across distributed environments, enabling advanced analytics and ML-driven insights.