Data Solutions Engineer - Big Data & Cloud

UNAVAILABLE; Chicago (IL); On-site; USD 73,500 - 136,500; Full time

Benefits offered by this job

Flexible time off

15 paid holidays

Paid sick time

Comprehensive health coverage

401(k)

Tuition assistance

Commuter benefits

Professional development

Employee recognition

Job summary

Epsilon is seeking a hands-on Data Solutions Engineer in Chicago, Illinois. This role involves building data solutions and working closely with engineering and business teams to optimize operations. Candidates should be proficient in SQL and Python, have experience with cloud environments, and be prepared to tackle complex data quality use cases. The compensation ranges from $73,500 to $136,500, with benefits including flexible time off, health coverage, and 401(k) assistance.

Qualifications

• 3-6 years’ professional experience on a development team manipulating data.
• Ability to troubleshoot production issues and solve for performance bottlenecks.
• Excellent communication skills and ability to work with the internal analyst community.

Responsibilities

• Build and maintain data solutions collecting and warehousing hundreds of terabytes of data per day.
• Design and implement scalable data solutions within a CI/CD environment.
• Manage deployments to Kubernetes clusters for GitOps-based delivery.

Skills

Fluent SQL

Python

Java

Scala

Kubernetes

Kafka

AWS

Hadoop

AirFlow

Education

Bachelor’s Degree in Computer Science or equivalent

Tools

Databricks

Docker

Job description

Epsilon is seeking a hands-on Data Solutions Engineer in Chicago, Illinois. This role involves building data solutions and working closely with engineering and business teams to optimize operations. Candidates should be proficient in SQL and Python, have experience with cloud environments, and be prepared to tackle complex data quality use cases. The compensation ranges from $73,500 to $136,500, with benefits including flexible time off, health coverage, and 401(k) assistance.