Role Overview
The central Data & Analytics team delivers trusted, governed data products for company-wide reporting through data engineering and analytics practices. In partnership with the Data Platform Team, we power the company’s data backbone and help ensure data supports day-to-day operations and decision-making.
What You Will Do
Build & scale data and analytics engineering, design, build, and improve reliable data pipelines, analytical models, and reusable data products for BI, internal applications, and AI consumers.
Why It Might Be a Fit
The ideal candidate is a pragmatic, self-directed builder who owns data products end to end and improves the analytics platform through strong data/analytics engineering and product judgment.
Requirements
- 5+ years of experience in data engineering, analytics engineering, software engineering, or an adjacent field.
- Mastery of data engineering and analytics engineering, including data modeling and ELT design, pipeline performance, reliability, and maintainability.
- Deep practical experience with SQL, Python, data modelling, ELT, dbt, orchestration, and cloud data services—preferably using GCP (BigQuery), dbt, Airflow.
- Strong DevOps practices: Git, code review, automated testing, CI/CD, x as code, environment management, observability.
- Practical experience designing workflows for and directing AI coding agents, and validating generated designs, code, tests, and documentation.
- Experience building and maintaining production APIs, MCP servers, and endpoints.
- Ability to communicate technical decisions and trade-offs to technical and non-technical stakeholders.
Benefits
- Dental insurance
- Vision insurance
- Paid holidays
To apply for this job please visit trimble.wd1.myworkdayjobs.com.
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