Data Engineer - Physical AI Platform
Caterpillar
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How this pay compares to similar roles
This role pays less than 52% of similar roles. Most pay $135,675–$214,000 — the shaded band above. At the midpoint, this role pays about $169k versus about $175k for comparable roles.
Based on 240 similar postings.
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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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Lead Data Engineer – Physical AI Platform As a Lead Data Engineer, you will join the team to design, build, and maintain scalable data pipelines, microservices, and cloud-based platforms that provide high-quality data for business and engineering teams. You will collaborate with architects to define solution designs, optimize Python-based pipelines for real-time and batch processing, and develop cloud-native ingestion solutions using AWS services like Kinesis, S3, DynamoDB, and EventBridge. Your role involves establishing automated testing, ensuring data quality across distributed systems, and performing root-cause analysis using tools like CloudWatch. You will work within an agile environment to solve complex problems in construction autonomy by integrating massive volumes of real-world data from connected assets. The core technical stack includes Python, Java, SQL, and CI/CD tools such as Azure DevOps, Jira, and Jenkins to support large-scale infrastructure.
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