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Data Engineer – Customer Insights, Analytics
Trimble Inc.Data Engineer implementing data integration frameworks for global product growth at Trimble. Connecting physical and digital worlds through innovative data solutions.
Posted 7/9/2026full-timeWestminster • Colorado, Oregon • 🇺🇸 United StatesMid-LevelSenior💰 $144,600 - $198,800 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data engineering and architecture, with a strong focus on Python and SQL for developing data integration frameworks and automated processes. Capable of collaborating cross-functionally to address complex data challenges and communicate insights effectively.
Highest-signal resume keywords
Data EngineeringPythonSQLData LakesETL Tools
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Integration FrameworksData ArchitectureData GovernanceAutomated ProcessesAlgorithmsData Quality StandardsData AnalysisData CleansingProduct InstrumentationCritical Thinking
Soft Skills
CollaborationAutonomyProblem Solving
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceBachelor’s Degree in Data AnalyticsBachelor’s Degree in Engineering
Tech Stack
Tools & technologiesETLPythonSQL
About the role
Key responsibilities & impact- Spearhead the design and development of sophisticated data integration frameworks
- Partner with product and engineering teams to define best practices for product instrumentation
- Architect automated processes and algorithms to cleanse and evaluate large datasets
- Extract and communicate meaningful insights to business managers
- Collaborate cross-functionally to identify and solve complex data analysis challenges
Requirements
What you’ll need- 5+ years of experience in data engineering, architecture, or governance
- Expert proficiency in Python and SQL
- Deep understanding of data lakes, columnar formats, ETL tools, and data quality standards
- Bachelor’s Degree in Computer Science, Data Analytics, Engineering, or a related technical field
- Strong critical thinking skills with the ability to work autonomously in a fast-paced environment
Benefits
Comp & perks- Medical
- Dental
- Vision
- Life
- Disability
- Time off plans
- Retirement plans
- Paid Parental Leave
- Employee Stock Purchase Plan