Data Engineer, Customer Insights & Analytics
Listed on 2026-02-16
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IT/Tech
Data Engineer, Data Analyst
Drive Innovation as our Next Data Engineer (Product Growth Focus)!
Are you ready to make a tangible impact on global industries by turning complex product data into actionable growth strategies? Trimble is looking for a passionate Data Engineer to empower our Sketch Up teams with cutting‑edge data integration frameworks and high‑quality insights that drive progress for millions of users worldwide!
About UsTrimble is a global technology company that connects the physical and digital worlds, transforming the ways work gets done. With relentless innovation in precise positioning, modeling and data analytics, Trimble enables essential industries including construction, geospatial and transportation. Whether it is helping customers build and maintain infrastructure, design and construct buildings, optimize global supply chains or map the world, Trimble is at the forefront, driving productivity and progress.
Corporate: Trimble empowers customers to drive productivity and progress with connected hardware and software solutions.
What Makes This Role GreatIn this role, you will be the architectural backbone of our product‑led growth initiatives, directly influencing how global users interact with Sketch Up by building the frameworks that translate raw instrumentation into strategic business value.
Key Exciting Responsibilities- Spearhead the design and development of sophisticated data integration frameworks to consolidate diverse "big data" sources.
- Partner with product and engineering teams to define best practices for product instrumentation and maximize the value of data products.
- Architect automated processes and algorithms to cleanse and evaluate large datasets, ensuring our internal data products remain high‑quality and trustworthy.
- Extract and communicate meaningful insights to business managers to enhance client services and drive product‑led growth.
- Collaborate cross‑functionally to identify and solve complex data analysis challenges across multiple domains.
- 5+ years of experience in data engineering, architecture, or governance with a proven track record of managing data pipelines.
- Expert proficiency in Python and SQL for developing robust data solutions.
- 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.
- Experience with product‑led growth (PLG) strategies and application instrumentation.
- Proficiency in additional programming languages beyond Python and SQL.
- Advanced knowledge of specific BI tools and cloud‑based data environments.
Location:
Westminster, Colorado, Onsite
Travel Requirement: 10%
Why You'll Love Working With UsTrimble, we're not just a company that "does good" — we are a team dedicated to making a tangible, positive real‑world impact. We build innovative solutions designed to solve the world's most critical challenges. From construction sites to transportation hubs, our work tangibly improves how people live, build, move, and grow.
You’ll work on projects that truly matter:
Our purpose‑driven culture means you’ll be helping to build and deliver solutions that make work faster, safer, and more sustainable for millions of people worldwide. Our impact is tangible, from connected machines that save fuel to data‑driven insights that reduce waste.
Our strong internal culture is a "hidden gem." You will work with a collaborative, supportive team that shares your purpose and fosters a genuine sense of belonging. We’re a company of "visionary pragmatists" who think boldly and build things that work.
Be an owner:
Trimble thrives on individuals who take initiative and embrace ownership. You’ll find an entrepreneurial spirit where success is often "self‑authored," empowering proactive "doers."
Data Engineer, Python, SQL, ETL, Data Pipeline, Product‑Led Growth, Big Data, Data Architecture, Sketch Up, Data Integration
Compensation Hiring Range$–$
Pay Rate TypeSalary
Bonus Eligible?Yes
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