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Caterpillar Inc.

Data Engineer – Technical, User Support

Caterpillar Inc.

Data Engineer responsible for designing and building ETL pipelines and data solutions at Caterpillar Inc. Collaborating with data scientists and ensuring data accuracy and governance.

Posted 5/7/2026full-timeIrving • Illinois, Texas • 🇺🇸 United StatesMid-LevelSenior💰 $89,210 - $133,810 per yearWebsite

Tech Stack

Tools & technologies
AWSBigQueryCloudDistributed SystemsETLMySQLPostgresPythonSQL

About the role

Key responsibilities & impact
  • Build and manage ETL (Extract, Transform, Load) pipelines to move data from source systems
  • Design scalable data models and storage solutions that support analytics and reporting needs
  • Integrate data from various internal and external sources, ensuring consistency and reliability
  • Tune queries and systems for performance, especially when dealing with large datasets
  • Implement checks to ensure data accuracy, completeness, and compliance with data governance policies
  • Work closely with data scientists, analysts, and business stakeholders to understand data needs and deliver solutions
  • Support with debug and analyze data issues raised from user queries and provide timely Root Cause Analyses (RCAs) within defined SLAs
  • Collaborate with the Data Engineering team to assess, design, and implement new scope or evolving business requirements
  • Communicate issue status, impact, and resolution clearly to stakeholders and end users

Requirements

What you’ll need
  • Strong hands‑on expertise in SQL and Python
  • Proven experience working with modern data platforms and ETL tools such as Snowflake or equivalent technologies
  • Deep understanding of relational and cloud‑native databases, including PostgreSQL, MySQL, Snowflake, and BigQuery
  • Practical experience operating in AWS environments, leveraging services such as Glue, Lambda, and Step Functions
  • Strong problem‑solving and analytical capability
  • Solid understanding of distributed systems and data architecture
  • A clear appreciation of data privacy, security, and governance best practices.

Benefits

Comp & perks
  • Medical, dental, and vision benefits*
  • Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
  • 401(k) savings plans*
  • Health Savings Account (HSA)*
  • Flexible Spending Accounts (FSAs)*
  • Health Lifestyle Programs*
  • Employee Assistance Program*
  • Voluntary Benefits and Employee Discounts*
  • Career Development*
  • Incentive bonus*
  • Disability benefits
  • Life Insurance
  • Parental leave
  • Adoption benefits
  • Tuition Reimbursement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
SQLPythonETLdata modelingdata storage solutionsquery tuningdata accuracydata governanceRoot Cause Analysisdata architecture
Soft Skills
problem-solvinganalytical capabilitycommunicationcollaboration