Data Engineering Lead: Databricks, PySpark, Snowflake

Capital One; Chicago (IL); On-site; USD 209,000 - 239,000; Full time

Job summary

Capital One in Chicago seeks a Senior Manager Data Engineer to lead a team delivering data-driven, cloud-based solutions that empower millions of customers. You will drive architecture, mentor engineers, and ensure robust, scalable data platforms.

The role requires strong experience in Java/Python/Scala, big data tooling, and AWS/Azure/GCP, with a proven track record in people leadership and agile delivery in a fast-paced environment.

Qualifications

• Bachelor’s degree required; 6+ years in application development and data engineering.
• Experience leading teams and delivering large-scale data platforms.
• Strong cloud and distributed data tooling knowledge.

Responsibilities

• Design, develop, test, and support data engineering solutions across Agile teams.
• Lead a team of developers with experience in ML, distributed microservices, and full-stack systems.
• Mentor engineers and ensure performance-tuned, scalable cloud-based data platforms.

Skills

Big data

Java

Python

Scala

Cloud computing

People management

Education

Bachelor’s Degree

Tools

AWS

Azure

Google Cloud

Redshift

Snowflake

Hadoop

Spark

Kafka

MongoDB

Cassandra

Unix/Linux

SQL

MySQL

Job description

Capital One in Chicago seeks a Senior Manager Data Engineer to lead a team delivering data-driven, cloud-based solutions that empower millions of customers. You will drive architecture, mentor engineers, and ensure robust, scalable data platforms.

The role requires strong experience in Java/Python/Scala, big data tooling, and AWS/Azure/GCP, with a proven track record in people leadership and agile delivery in a fast-paced environment.