Senior Data Engineer - Autonomous Construction AI Platform

Caterpillar

Chicago (IL)

On-site

USD 120,000 - 180,000

Full time

3 days ago
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Job summary

Caterpillar 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 work across teams to ensure data reliability and availability for business and engineering needs.

In this role you’ll implement real-time and batch processing using AWS services and help shape data architectures that support autonomous construction technologies and scalable analytics across global operations.

Qualifications

  • Experience designing scalable data architectures.
  • Strong collaboration across engineering and product teams.
  • Proficiency in Python/Java and backend data systems.
  • Experience with Agile development lifecycle.
  • Ability to translate complex requirements into data workflows.

Responsibilities

  • Collaborate with Lead Software Engineers to define solution architecture.
  • Implement scalable data pipelines and microservices in Python.
  • Develop cloud-native data ingestion and streaming solutions using AWS services.
  • Lead data integration frameworks and source data pipelines for autonomy initiatives.
  • Partner with stakeholders to translate requirements into scalable designs.
  • Establish automated testing, data quality controls, and validation frameworks.
  • Implement monitoring and performance tuning of production data platforms.

Skills

Python
Java
Data pipelines
Cloud-native
Real-time processing
Distributed systems
Agile
Communication skills

Tools

AWS
Kinesis
S3
DynamoDB
EventBridge
CloudWatch

Job description

Caterpillar 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 work across teams to ensure data reliability and availability for business and engineering needs.

In this role you’ll implement real-time and batch processing using AWS services and help shape data architectures that support autonomous construction technologies and scalable analytics across global operations.

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