Lead Data Engineer: Cloud, ML & Big Data

capitalone; Chicago (IL); On-site; USD 179,400 - 204,700; Full time

Job summary

Capital One is seeking a Lead Data Engineer in Chicago to design, develop, and support cloud-based data solutions. You’ll work with teams across AI, distributed systems, and full-stack engineering to build scalable data platforms using Java, Scala, Python, and SQL.

The role emphasizes collaboration, mentoring, and staying ahead of tech trends while delivering robust data solutions that empower financial decisions for millions of customers.

Qualifications

• Bachelor’s degree required.
• 4+ years of application development experience.
• 2+ years with big data technologies.
• 1+ year of cloud computing experience.

Responsibilities

• Collaborate with Agile teams to design, develop, test, implement, and support technical solutions.
• Work with a team of developers experienced in machine learning, distributed microservices, and full stack systems.
• Utilize Java, Scala, Python and SQL with cloud data warehousing services like Redshift and Snowflake.
• Mentor engineers and stay current with tech trends and AI tooling to accelerate productivity.
• Collaborate with product managers to deliver cloud-based solutions for broad impact.

Skills

Java

Scala

Python

SQL

Education

Bachelor’s Degree

Tools

Redshift

Snowflake

AWS

Hadoop

Kafka

Spark

MySQL

Unix/Linux

Job description

Capital One is seeking a Lead Data Engineer in Chicago to design, develop, and support cloud-based data solutions. You’ll work with teams across AI, distributed systems, and full-stack engineering to build scalable data platforms using Java, Scala, Python, and SQL.

The role emphasizes collaboration, mentoring, and staying ahead of tech trends while delivering robust data solutions that empower financial decisions for millions of customers.