Data Engineer, Physical AI Platform
Caterpillar
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How this pay compares to similar roles
This role pays less than 69% of similar roles. Most pay $126,800–$209,400 — the blue band above. At the midpoint, this role pays about $128k versus about $168k 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 131 open roles on FindRole.
Listed pay typically runs $128,470–$192,710 across 125 roles with salary data.
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View all roles at CaterpillarAt a glance
As a Data Engineer within the Cat Digital organization, you will join a global team responsible for bringing digital capabilities to heavy equipment. You will develop Python data pipelines to build business data objects that support various applications, including enterprise data, analytics, and AI. Your daily responsibilities include interpreting design requirements, implementing source to target mapping as pipeline code, and performing unit and integration testing. You will build and deploy CICD pipelines using tools like Jenkins, GitHub Actions, or Azure DevOps. Technical requirements include proficiency in Python, OOP principles, Git, Snowflake, and AWS components such as Lambda, Kinesis, and S3. You will also utilize GenAI developer tools like GitHub Copilot to improve code quality and delivery speed while solving complex technical problems.
What does a Data Engineer earn?
Median $159000 from 203 postings across 58 companies.
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