Data Engineer/Scientist

Our Business Segment: Architecture, Engineering, Construction and Owner Segment (AECO)Are you eager to build the data pipelines that power the next generation of AI in construction?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.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.What Skills & Experience You Should BringBachelor'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.What Skills & Experience You Could BringFamiliarity 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.About Trimble MexicoTrimble is expanding in Mexico by setting up a world-class software research & development center to accelerate the delivery of products and services worldwide. Become one of the pioneers that helps set the bar of excellence and culture that will shape our future.Trimble’s Inclusiveness CommitmentWe believe in celebrating our differences. That is why our diversity is our strength. To us, that means actively participating in opportunities to be inclusive. Diversity, Equity, and Inclusion have guided our current success while also moving our desire to improve. We actively seek to add members to our community who represent our customers and the places we live and work.We have programs in place to make sure our people are seen, heard, and welcomed and most importantly that they know they belong, no matter who they are or where they are coming from.Trimble is transforming the way the world works by delivering products and services that connect the physical and digital worlds. Core technologies in positioning, modeling, connectivity and data analytics enable customers to improve productivity, quality, safety, and sustainability. From purpose built products to enterprise lifecycle solutions, Trimble software, hardware and services are transforming a broad range of industries such as agriculture, construction, geospatial and transportation and logistics. For more information about Trimble (NASDAQ: TRMB), visit www.trimble.com . #J-18808-Ljbffr