Lead Data Engineer, Physical AI Platform
Caterpillar
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How this pay compares to similar roles
This role pays less than 70% of similar roles. Most pay $126,800–$196,568 — the shaded band above. At the midpoint, this role pays about $128k versus about $162k 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 76 open roles on FindRole.
Listed pay typically runs $128,470–$190,176 across 74 roles with salary data.
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As a Data Engineer – Physical AI Platform, you will join the team to design, build, and maintain scalable data pipelines, microservices, and cloud-based systems within an agile environment. You will develop real-time and batch processing solutions using Python, create data ingestion workflows utilizing AWS services like Kinesis, S3, DynamoDB, and EventBridge, and implement automated testing to ensure integrity across distributed systems. The role requires proficiency in Java, SQL, and CI/CD tools such as Azure DevOps or Jenkins. You will work on the intersection of physical and digital worlds, specifically addressing the complex challenge of construction autonomy. Your work involves processing massive volumes of high-quality data from connected assets to build the intelligence layer for machines that perceive their environment and make informed decisions in dynamic jobsites.
What does a Data Engineer earn?
Median $162000 from 190 postings across 57 companies.
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