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Trimble Inc. Logo Trimble Inc. · IT - Software Development

Data Engineer/Scientist

Mexico, Mexicali · Job Posted January 13, 2026
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Job Description

This role is a fantastic opportunity to start your career in data engineering for AI, focusing on the essential tasks that ensure our AI teams have the high-quality data they need. You will work under the guidance of senior engineers to build, maintain, and optimize the data pipelines that are the lifeblood of our machine learning models. You'll gain hands-on experience with large-scale, diverse datasets unique to the construction industry and learn the best practices for managing data in a modern cloud environment.

Job Responsibility

  • Assist in the design, construction, and maintenance of foundational data pipelines (ETL/ELT) to support AI/ML model development
  • Contribute to data cleaning, transformation, and aggregation tasks to prepare datasets for machine learning applications
  • Perform routine data quality checks and write basic tests to ensure data integrity and reliability
  • Support the management of data storage solutions, including data warehouses and data lakes, under the supervision of senior engineers
  • Document data sources, pipeline logic, and data models to ensure clarity and maintainability for the team
  • Collaborate with AI/ML engineers to understand their data requirements and assist in providing them with accessible, analysis-ready datasets

Requirements

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related quantitative field
  • Foundational knowledge of database concepts and proficiency in SQL for data querying and manipulation
  • Proficiency in at least one programming language, preferably Python, for scripting and data processing tasks
  • A conceptual understanding of data warehousing, ETL processes, and data modeling
  • Strong problem-solving skills and an ability to analyze issues of a limited scope with a focus on finding clear answers
  • Eagerness to learn and a strong interest in data engineering, cloud technologies, and AI/ML

Nice to have

  • Familiarity with a cloud platform (e.g., AWS, Azure, GCP) and its core data services (e.g., S3, Blob Storage, BigQuery) or unified data platforms like Databricks
  • Basic experience with data pipeline orchestration tools (e.g., Apache Airflow, Prefect)
  • Exposure to version control systems like Git
  • Relevant coursework or academic projects in data engineering, database management, or big data
  • Familiarity with the construction industry's data landscape is a plus
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