Data Engineer​/Scientist

Job title:

Data Engineer/Scientist

Job Location:

Knoxville, TN

Our Department: AECO

Are you passionate about building the data foundations that power next-generation AI and want to grow your skills in a supportive, innovative environment?

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 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, Big Query) 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.

• This position is located in Knoxville, TN

Trimble provides the following compensation range and general description of other compensation and benefits that it in good faith believes it might pay and/or offer for this position. This compensation range is based on a full time schedule. Trimble reserves the right to ultimately pay more or less than the posted range and offer additional benefits and other compensation, depending on circumstances not related to an applicant’s sex or other status protected by local, state, or federal law.

$87,500.00–$

Salary

No

No

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. If this position is identified above as commission- or bonus-eligible, the terms of the commission plan or discretionary bonus plan for which you are eligible will be provided following the employee start date.

Please submit an online application for this position by clicking on the ‘Apply Now’ button located in this posting.

Applications could be accepted until at least 30 days from the posting date.