Senior Data Engineer – Physical AI Platform (Irving, TX Onsite)

Caterpillar Brazil; Irving (TX); On-site; USD 113,000 - 183,000; Full time

Benefits offered by this job

Medical benefits

Relocation assistance

Onsite work five days a week

Job summary

Caterpillar Inc. is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and cloud-based data platforms in an agile environment.

You will collaborate with engineers, data architects, and stakeholders to deliver reliable, high-quality data for business and engineering teams, leveraging Python, Java, AWS, and modern data tools. The role focuses on real-time and batch processing, data ingestion, and data quality in distributed environments, with strong emphasis on

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, or related field.
• 5+ years of experience in data engineering or related disciplines with increasing responsibility.
• Experience with large, modern Caterpillar data platforms is a plus.
• Proficient in Python/Java and cloud data technologies.

Responsibilities

• Design, build, and maintain scalable data pipelines and data platforms.
• Collaborate with software engineers and data architects on solution architecture.
• Implement CI/CD and data quality checks across pipelines.
• Operate and optimize data ingestion and streaming solutions in AWS.

Skills

Python

Java

SQL

Distributed systems

Data modeling

Education

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

Tools

AWS

CI/CD tools

Jira

Jenkins

Azure DevOps

Job description

Caterpillar Inc. is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and cloud-based data platforms in an agile environment.

You will collaborate with engineers, data architects, and stakeholders to deliver reliable, high-quality data for business and engineering teams, leveraging Python, Java, AWS, and modern data tools. The role focuses on real-time and batch processing, data ingestion, and data quality in distributed environments, with strong emphasis on