Trimble-posted 13 days ago
Full-time • Mid Level
Knoxville, TN
5,001-10,000 employees

Are you passionate about building the data foundations that power next-generation AI and want to grow your skills in a supportive, innovative environment? What You Will Do This role is a fantastic opportunity to leverage your experience 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. Work alongside AI/ML engineers and and assist in AI models and LLM functionality for matching our records between datasets.

  • 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.
  • Work alongside AI/ML engineers and and assist in AI models and LLM functionality for matching our records between datasets.
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related quantitative field.
  • Hands on experience in the field working with data leveraging ETL operations, ML creation and management, and LLM tools.
  • 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.
  • 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.
  • Trimble offers comprehensive core benefits that include Medical, Dental, Vision, Life, Disability, Time off plans and retirement plans.
  • Most of our businesses also offer tax savings plans for health, dependent care and commuter expenses as well as Paid Parental Leave and Employee Stock Purchase Plan.
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