Data Engineer
Caterpillar
Quick summary
Market check
How this pay compares to similar roles
This role pays less than 71% of similar roles. Most pay $141,675–$222,325 — the shaded band above. At the midpoint, this role pays about $148k versus about $182k for comparable roles.
Based on 240 similar postings.
Employer
Caterpillar Inc. is the world''s largest manufacturer of construction and mining equipment, diesel and natural gas engines, industrial gas turbines, and diesel-electric locomotives. Industry: Heavy Equipment & Manufacturing
Caterpillar currently has 39 open roles on FindRole.
Listed pay typically runs $128,470–$199,473 across 38 roles with salary data.
Most-posted roles
At a glance
As a Senior Data Engineer on the Helios Data Engineering team, you will develop Python data pipelines and business data objects that support various applications. Your responsibilities include managing complex systems work independently, conducting unit and integration testing, and contributing to software development projects with minimal supervision. You will leverage extensive experience in object-oriented programming principles, embedding models, and Git version control while deploying software using CI/CD tools like Jenkins and GitHub Actions. Familiarity with AWS components such as Bedrock, Lambda, DynamoDB, S3, and RDS is essential, along with expertise in relational databases like PostgreSQL and noSQL databases like MongoDB. This role demands a proactive approach to staying current with the latest technologies and industry trends within the Chicago or Peoria area.
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What you'll do
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