Data Engineer/Scientist

Trimble Inc.; Mexicali; Presencial; MXN 1,094,000 - 1,460,000; Jornada completa

Descripción de la vacante

A leading technology company in Mexicali is seeking a Data Engineer/Scientist to build and maintain data pipelines essential for AI in construction. This position offers hands-on experience with diverse datasets and cloud environments, under the guidance of senior engineers. Applicants should have a Bachelor's degree in a relevant field and a foundational knowledge of SQL and programming languages like Python. Join a forward-thinking team committed to inclusivity and diversity.

Servicios

Inclusive workplace culture

Opportunities for career growth

Diversity and inclusion initiatives

Formación

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related quantitative field.
• Foundational knowledge of database concepts and proficiency in SQL.
• Proficiency in at least one programming language, preferably Python.

Responsabilidades

• Assist in the design and maintenance of foundational data pipelines for AI/ML.
• Contribute to data cleaning and transformation tasks for machine learning.
• Perform routine data quality checks to ensure data integrity.

Conocimientos

SQL

Python

Problem-solving

Data Engineering

Cloud Technologies

Eagerness to learn

Educación

Bachelor's degree in Computer Science or related field

Herramientas

Apache Airflow

Git

AWS

Descripción del empleo

Your Title: Data Engineer/Scientist

Job Location: Mexicali, Mexico

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 Bring

• 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.

What Skills & Experience You Could Bring

• 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.

About Trimble Mexico

Trimble 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 Commitment

We 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.

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