Caterpillar Inc.

Senior Data Engineer

Caterpillar Inc.

full-time

Posted on:

Location Type: Hybrid

Location: Chicago • Illinois • United States

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Salary

💰 $112,710 - $183,140 per year

Job Level

Senior

Tech Stack

AWSAzureBigQueryCloudETLPythonSQL

About the role

  • Implement and document standardized data models
  • Build and document data pipelines required to support those models
  • Work with multiple international teams for overall success of shared goals
  • Execute proofs of concept as needed to prove out solutions
  • Support senior team members on implementation issues and best practices
  • Regularly report on initiative status to peers and leadership
  • Standard administration tasks like time reporting, accomplishing training requirements, and task tracking via Azure DevOps

Requirements

  • Data Modeling Expertise: Working knowledge of implementing and documenting standardized data models; ability to translate requirements into well‑structured datasets.
  • Data Pipeline Engineering: Extensive knowledge of building and supporting cloud‑based data pipelines; understanding of ingestion, transformation, and orchestration patterns.
  • Cloud Database Proficiency: Working knowledge of cloud database technologies; ability to apply best practices for performance and scalability.
  • Cross ‑ Functional Collaboration: Ability to work effectively with international business and technical teams; capability to communicate progress and technical concepts clearly.
  • Solution Prototyping & Innovation: Ability to support execution of proofs of concept to validate technical approaches; interest in exploring and learning new technologies.
  • Progressive Technical Ownership: Demonstrated progression in technical capabilities and responsibility; ability to execute tasks autonomously while seeking guidance when needed.
  • Experience with web tracking, social, and ad platform data sets
  • Working knowledge of SQL & Python
  • Experience with web based ETL and/or Reverse ETL technologies
  • Experience with Microsoft productivity tools
  • Familiarity with Google Cloud and AWS capabilities
  • Experience with BigQuery and/or Snowflake
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
data modelingdata pipeline engineeringcloud database technologiesSQLPythonweb based ETLReverse ETLBigQuerySnowflake
Soft Skills
cross-functional collaborationcommunicationprogress reportingtechnical ownershipautonomy