Caterpillar Inc.

Data Engineer – Microsoft Fabric

Caterpillar Inc.

full-time

Posted on:

Location Type: Hybrid

Location: East PeoriaIllinoisTennesseeUnited States

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Salary

💰 $112,710 - $169,060 per year

Job Level

About the role

  • Enable enterprise adoption of Microsoft Fabric by providing technical guidance, coaching, and best practices across analytics teams.
  • Develop and maintain reusable assets, including templates, reference architectures, semantic model patterns, data pipelines, and governance documentation that support enterprise-wide modernization.
  • Support teams in designing and optimizing Fabric Lakehouse environments, Data Factory pipelines, Dataflows Gen2, notebooks, and medallion‑style data architectures.
  • Provide subject matter expertise for Microsoft Fabric, Power BI modeling, dataset optimization, DAX best practices, workspace design, and governance policies.
  • Assist business units with complex or strategic analytics use cases, including performance tuning, troubleshooting, and proof‑of‑concept development.
  • Partner with central infrastructure, platform engineering, and cybersecurity teams to ensure Fabric, Power BI, and related analytics services remain secure, scalable, reliable, and well-governed.
  • Create monitoring approaches, standards, and operational best practices that uplift data quality, platform health, and BI performance across the enterprise.
  • Collaborate with BI, data engineering, and data architecture teams to align enterprise analytics strategy with Caterpillar’s overall digital and data transformation roadmap.
  • Support incident/problem management processes and communicate findings to business and technical stakeholders.

Requirements

  • Bachelor’s degree in Data Science, Information Technology, Engineering, or a related field.
  • 7+ years of combined experience in Business Intelligence, data engineering, or analytics platform support.
  • Hands-on experience with Microsoft Fabric components, including Lakehouse, Data Factory (pipelines, dataflows Gen2), Notebooks, Delta tables, and semantic model development.
  • Strong proficiency with Power BI, including data modeling, DAX, dataset optimization, performance tuning, and workspace management.
  • Solid understanding of data engineering concepts, including ingestion patterns, transformation logic, medallion architecture, and SQL.
  • Experience developing or supporting reusable data/BI assets such as templates, pipelines, semantic models, or governance artifacts.
  • Strong troubleshooting and analytical skills across distributed systems, BI tools, and data pipelines.
  • Experience scripting or automating tasks using tools such as Python, PowerShell, or SQL.
  • Excellent communication and collaboration skills, with proven success supporting both technical and non‑technical stakeholders.
Benefits
  • 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*
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Microsoft FabricData FactoryDataflows Gen2Power BIDAXSQLdata engineeringdata modelingperformance tuningmedallion architecture
Soft Skills
communicationcollaborationtroubleshootinganalytical skillscoachingtechnical guidanceproblem managementstakeholder managementbest practicesoperational standards