Cloud Data Engineer: AI-Driven Pricing Pipelines

Caterpillar Inc.; Irving (IA); On-site; USD 98,000 - 158,000; Full time

Benefits offered by this job

Medical, dental, and vision benefits

Paid time off

401(k) savings plans

Health Savings Account (HSA)

Tuition Reimbursement

Employee discounts

Job summary

Caterpillar Inc. in Irving, IA is seeking a Data Engineer on the Global Parts Pricing Data Engineering team to design and build scalable data platforms, pipelines, and cloud solutions that power pricing decisions across a global business.

You will work with data scientists, analysts and stakeholders to deliver high-performance data products, automate critical processes, and advance AI-driven pricing. The role requires expertise in Python, cloud data engineering, data modeling, observability, and

Qualifications

• Proven experience building scalable data pipelines and platforms.
• Strong knowledge of cloud data platforms and secure data solutions.
• Experience in data modeling, transformation, and integration.
• Experience implementing data quality, observability, and testing.
• Ability to partner with cross-functional teams on data solutions for pricing.

Responsibilities

• Build infrastructure for ETL/ELT from diverse sources.
• Automate processes, optimize data delivery, and scale infrastructure.
• Debug, troubleshoot, modify, and test integration solutions.
• Operationalize data jobs and monitor data systems.
• Collaborate with business partners on data integration for pricing.

Skills

Python programming

Git version control

CI/CD

Tools

GitHub Actions

Azure DevOps

AWS (Bedrock, Lambda, Fargate, S3, SageMaker, IAM, RDS)

PostgreSQL

Snowflake

Oracle

Job description

Caterpillar Inc. in Irving, IA is seeking a Data Engineer on the Global Parts Pricing Data Engineering team to design and build scalable data platforms, pipelines, and cloud solutions that power pricing decisions across a global business.

You will work with data scientists, analysts and stakeholders to deliver high-performance data products, automate critical processes, and advance AI-driven pricing. The role requires expertise in Python, cloud data engineering, data modeling, observability, and