Lead Data Engineer - Real-Time Risk (Python, AWS)

Capital One; McLean (VA); On-site; USD 120,000 - 160,000; Full time

Job summary

Capital One is seeking a Lead Data Engineer for Risk Tech to advance real‑time risk analytics using Python, AWS, and distributed data tools. You will collaborate with Agile teams to design and deliver full‑stack data solutions and mentor peers across the engineering organization.

The role emphasizes cloud data warehousing, real‑time streaming, and rigorous testing to ensure scalable, high‑performing systems that empower financial decision‑making across the organization.

Qualifications

• Bachelor’s degree required.
• 4+ years of application development experience.
• 2+ years of experience with big data technologies.
• 1+ year of cloud computing experience (AWS, Azure, or Google Cloud).

Responsibilities

• Collaborate with Agile teams to design, develop, test, implement, and support full‑stack technical solutions.
• Work with developers experienced in machine learning, distributed microservices, and full‑stack systems.
• Utilize programming languages such as Java, Scala, Python and open‑source RDBMS and NoSQL databases.
• Develop cloud‑based data warehousing solutions using Redshift, Snowflake, and other AWS services.
• Stay on top of technology trends, experiment with new tools, and share findings with internal and external technology communities.
• Mentor other engineering community members and contribute to continuous learning.
• Collaborate with digital product managers to deliver robust cloud‑based solutions that support millions of Americans seeking financial empowerment.
• Perform unit tests, conduct peer reviews, and ensure code is rigorously designed, elegantly written, and optimally tuned for performance.

Skills

Python

SQL

Java

Scala

Education

Bachelor’s Degree

Tools

AWS

Redshift

Snowflake

Kafka

Spark

PostgreSQL

DynamoDB

Job description

Capital One is seeking a Lead Data Engineer for Risk Tech to advance real‑time risk analytics using Python, AWS, and distributed data tools. You will collaborate with Agile teams to design and deliver full‑stack data solutions and mentor peers across the engineering organization.

The role emphasizes cloud data warehousing, real‑time streaming, and rigorous testing to ensure scalable, high‑performing systems that empower financial decision‑making across the organization.