Data Engineer

Hybrid Full TimeChicago, Illinois, United StatesSwoon

Role Overview

Design, develop, and maintain data pipelines to support analytics, machine learning, and AI applications.

What You Will Do

Design and develop data pipelines, build and optimize data integrations, develop cloud-based data engineering solutions, and support MLOps processes.

Why It Might Be a Fit

Collaborate with data scientists, developers, and business stakeholders to translate business requirements into technical solutions.

Requirements

  • Design, develop, and maintain data pipelines supporting analytics, machine learning, and AI applications.
  • Develop cloud-based data engineering solutions using Python, SQL, and distributed processing technologies such as PySpark.
  • Support MLOps processes, including machine learning model deployment, integration, monitoring, and production support.

To apply for this job please visit linkedin.com.

RevOps Careers Favicon

Get the latest RevOps jobs every Monday.

No noise. Just the best GTM roles, curated weekly.

We don’t spam! Read our privacy policy for more info.

Get the full Role Intel for this job

ReLoop.me’s full Role Intel shows the real level behind the title, an estimated pay range, a must-have checklist and the questions to ask before you apply.

Tired of manual job applications?

JobCopilot auto-applies to thousands of RevOps and GTM roles on your behalf — so you can focus on interviews, not applications.

Applying for this role?

Tailor your resume to this exact role — hiring managers notice the difference.

Latest articles on the blog

RECRUITERS!

Reduce the risk of your recruitment process (applicant quality, long and inefficient process) by selecting from a relevant pool of candidates.

POST A NEW JOB NOW!