Lead Data Engineer: Physical AI for Autonomous Jobsites

Caterpillar Brazil; Chicago (IL); On-site; USD 128,000 - 209,000; Full time

Benefits offered by this job

Medical, dental, and vision benefits

401(k) savings plans

Health Savings Account (HSA)

Paid time off

Relocation assistance

Visa sponsorship available

Job summary

Caterpillar Inc. in Chicago, IL seeks a Lead Data Engineer for the Physical AI Platform. You will design, build, and maintain scalable data pipelines and microservices, collaborating with software engineers and data architects in an agile environment.

Key responsibilities include real-time and batch data processing, cloud-native ingestion using AWS (Kinesis, S3, DynamoDB, EventBridge), and automated testing and observability. Join us to advance autonomous construction technologies.

Qualifications

• 8+ years of experience in data engineering with increasing responsibilities.
• Experience with large Caterpillar data platforms such as Helios Data Platform.
• Bachelor’s degree in Computer Science, Computer Engineering, or a related field.

Responsibilities

• Design, build, and maintain scalable data pipelines and microservices.
• Lead cloud-based data platforms and ensure data quality and reliability.
• Collaborate with software engineers and data architects on solution design.
• Implement automated testing, observability, and data validation.
• Tune performance and monitor data platforms using CloudWatch and other tools.
• Guide CI/CD practices and modern data engineering workflows.

Skills

Python

Java

AWS

SQL

CI/CD

Data pipelines

Microservices

Real-time data

APIs

Data platforms

Education

Bachelor’s degree in Computer Science, Computer Engineering, or related field

Tools

Kinesis

S3

DynamoDB

EventBridge

Azure DevOps

Jira

Jenkins

Job description

Caterpillar Inc. in Chicago, IL seeks a Lead Data Engineer for the Physical AI Platform. You will design, build, and maintain scalable data pipelines and microservices, collaborating with software engineers and data architects in an agile environment.

Key responsibilities include real-time and batch data processing, cloud-native ingestion using AWS (Kinesis, S3, DynamoDB, EventBridge), and automated testing and observability. Join us to advance autonomous construction technologies.