Data Engineer - Physical AI Platform

Caterpillar

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Irving, TX
Salary
$97,530–$158,480 / yr
Posted
8 days ago
Freshness
Confirmed live yesterday
Closes
Oct 29, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $162k
This role $128k
$86k most similar roles pay here $209k

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

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 76 open roles on FindRole.

Listed pay typically runs $128,470–$190,176 across 74 roles with salary data.

Most-posted roles

View all roles at Caterpillar

At a glance

TL;DR · Data Engineer - Physical AI Platform

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.

See salary data

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 utilizing AWS services like Kinesis, S3, DynamoDB, and EventBridge.
  • Build and maintain data integration workflows specifically aligned to CI Autonomy source data pipelines.
  • Translate complex business requirements into reliable data workflows, mappings, and system designs.
  • Implement automated testing and validation protocols to ensure data integrity across distributed systems.
  • Monitor and troubleshoot data pipelines using tools like CloudWatch to maintain high 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 a related field (preferred).
  • 2+ years of experience developing on modern, large-scale, and 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).
  • Hands-on experience with AWS 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 for real-time data ingestion and integrating APIs with secure protocols like OAuth 2.0 (preferred).

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