Data Engineer, Physical AI Platform

Caterpillar

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Chicago, IL
Salary: $97,530–$158,480 / yr
Posted: 5 days ago
Freshness: Confirmed live today
Closes: Oct 29, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $164k

This role $128k

$85k $215k

below market most similar roles pay here above market

This role pays less than 72% of similar roles. Most pay $126,800–$200,500 — the blue band above. At the midpoint, this role pays about $128k versus about $164k for comparable roles.

Based on 240 similar postings.

Employer

About Caterpillar

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–$190,176 across 124 roles with salary data.

Most-posted roles

View all roles at Caterpillar

At a glance

TL;DR · Data Engineer, Physical AI Platform

Role Posting Log in to save

JOB TITLE: Data Engineer – Physical AI Platform As a Data Engineer, you will join the team responsible for building the intelligence layer connecting machines, data, and people to enable construction autonomy. You will design, build, and maintain scalable data pipelines, microservices, and cloud-based data systems in an agile environment. Your daily work involves developing data ingestion solutions, optimizing real-time and batch processing, and translating business requirements into reliable workflows. You will utilize Python, Java, SQL, and AWS services including Kinesis, S3, DynamoDB, and EventBridge. Key responsibilities include implementing automated testing, monitoring pipelines via CloudWatch, and ensuring data integrity across distributed systems. This role solves complex problems in physical AI, simulation, and edge computing to help machines perceive environments and make informed decisions on dynamic jobsites.

What does a Data Engineer earn?

Median $159125 from 199 postings across 61 companies.

See salary data

Skills

Python Java AWS SQL Kinesis S3 DynamoDB EventBridge CloudWatch Microservices CI/CD Azure DevOps Jenkins Jira NoSQL API Development OAuth 2.0 Agile Data Pipelines Distributed Systems

What you'll do

Design, build, and optimize data pipelines and microservices using Python for real-time and batch processing.
Develop cloud-based data ingestion solutions using AWS services like Kinesis, S3, DynamoDB, and EventBridge.
Build and maintain data integration workflows for source data pipelines aligned to CI Autonomy.
Translate business requirements into reliable data workflows, mappings, and system designs.
Implement automated testing and validation to ensure data integrity across distributed systems.
Monitor and troubleshoot pipelines using tools like CloudWatch to maintain system reliability.
Develop microservices that support real-time data ingestion from large-scale, complex data platforms.

What we're looking for

Bachelor’s degree in Computer Science, Computer Engineering, or related field (preferred)
2+ years of development experience on modern, large-scale, complex data platforms (preferred)
3+ years of experience developing and deploying Java or Python solutions to a production environment (preferred)
Experience building high-throughput, scalable data pipelines (preferred)
Strong hands-on experience with AWS data services including Kinesis, S3, DynamoDB, and EventBridge (preferred)
Proficiency in SQL, including data quality and validation practices (preferred)
Proficiency in deploying software using CI/CD tools such as Azure DevOps, Jira, or Jenkins (preferred)
Experience developing microservices, APIs, and software applications using relational and NoSQL databases (preferred)

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