Senior AI Data Pipeline Engineer

Trimble

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profile Job Location:

Lake Oswego, OR - USA

profile Monthly Salary: $ 105600 - 145200
Posted on: 4 days ago
Vacancies: 1 Vacancy

Job Summary

Shape the Future of Intelligence as our next Senior AI Data Pipeline Engineer!

Are you ready to build the backbone of next-generation AI Trimble is looking for a visionary AI Data Pipeline Engineer to design and scale the sophisticated infrastructure that powers our global data-driven initiatives. You will play a critical role in transforming how the world moves builds and grows by engineering high-performance streaming architectures and production-ready AI workflows that deliver real-world impact.

About Us:

Trimble is a global technology company that connects the physical and digital worlds transforming the ways work gets done. With relentless innovation in precise positioning modeling and data analytics Trimble enables essential industries including construction geospatial and transportation. Whether its helping customers build and maintain infrastructure design and construct buildings optimize global supply chains or map the world Trimble is at the forefront driving productivity and progress.

AECO: The Trimble AECO segment provides digital construction solutions that increase precision and productivity for Architecture Engineering Construction and Operations.

What Makes This Role Great:

In this role you will be the primary architect of our data evolution within the AECO segment directly influencing the scalability of AI initiatives and shaping the future of digital construction technology. You will have the unique opportunity to move beyond traditional ETL owning the deployment of containerized workloads in Kubernetes and integrating emerging AI tooling into production workflows that solve the worlds most complex physical challenges.

Key Exciting Responsibilities

  • Design build and optimize scalable batch and real-time data pipelines

  • Manage and administer Databricks workspaces clusters jobs and performance tuning

  • Develop and maintain streaming architectures using Kafka

  • Implement and manage Change Data Capture (CDC) pipelines using Debezium connectors

  • Deploy monitor and manage containerized workloads using Kubernetes

  • Implement CI/CD practices for data engineering workflows

  • Ensure data quality observability governance and security best practices

  • Collaborate with data scientists ML engineers and software engineers to deliver production-grade data solutions

  • Support and optimize AI/ML data pipelines and model deployment workflows

  • Troubleshoot production issues and implement performance improvements

Essential Skills & Experience

  • 3 years of experience in data engineering or a related field

  • Strong hands-on experience managing and optimizing Databricks

  • Experience building and maintaining streaming pipelines with Kafka

  • Experience implementing Change Data Capture (CDC) using Debezium connectors

  • Practical experience deploying and operating services in Kubernetes

  • Strong proficiency in Python and/or Scala

  • Experience with SQL and distributed data processing frameworks (e.g. Spark)

  • Familiarity with cloud platforms (AWS Azure or GCP)

  • Experience with infrastructure-as-code tools (Terraform etc.)

  • Strong understanding of distributed systems concepts

Bonus Points For:

  • Experience integrating AI/ML tooling into data pipelines

  • Familiarity with MLOps practices

  • Experience with LLM-based workflows vector databases or model serving platforms

  • Knowledge of data lakehouse architectures

  • Experience with monitoring and observability tools

Why Youll Love Working With Us

At Trimble were not just a company that does goodwe are a team dedicated to making a tangible positive Real-World Impact. We build innovative solutions designed to solve the worlds most critical challenges. From construction sites to transportation hubs our work tangibly improves how people live build move and grow.

Youll work on projects that truly matter: Our purpose-driven culture means youll be helping to build and deliver solutions that make work faster safer and more sustainable for millions of people worldwide. Our impact is tangible from connected machines that save fuel to data-driven insights that reduce waste.

Collaborate with like-minded people: Our strong internal culture is a hidden gem. You will work with a collaborative supportive team that shares your purpose and fosters a genuine sense of belonging. Were a company of visionary pragmatists who think boldly and build things that work.

Be an owner: Trimble thrives on individuals who take initiative and embrace ownership. Youll find an entrepreneurial spirit where success is often self-authored empowering proactive doers.

Data Engineering AI Data Pipeline Databricks Kafka Kubernetes Debezium Spark Python MLOps Cloud Infrastructure Terraform CDC Distributed Systems Machine Learning Operations.

Compensation: 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 applicants sex or other status protected by local state or federal law.

Hiring Range

$105600.00$145200.00

Pay Rate Type

Salary

Bonus Eligible

Yes

Commission Eligible

No


Benefits: 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.


How to Apply: Please submit an online application for this position by clicking on the Apply Now button located in this posting.


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

At Trimble we are committed to fostering a diverse inclusive and equitable workplace where everyone can thrive. Guided by our core valuesBelong Innovate and Growwe embrace and celebrate differences knowing they make us stronger and more innovative. We are proud to be an equal opportunity employer welcoming individuals of all backgrounds and advancing opportunities while embracing race color gender identity sexual orientation religion disability veteran status or any other protected and diverse characteristic. We are committed to offering our candidates and employees with disabilities or sincerely held religious beliefs the ability to seek reasonable accommodations in accordance with applicable law and/or where it would not constitute undue hardship for Trimble. For more please see Trimbles Code of Business Conduct and Ethics at under Corporate Governance.

Our mission to transform the way the world works starts with transforming how we work together. By actively listening asking questions and taking intentional actions we cultivate a culture that provides equitable opportunities for everyone to contribute and grow.

Trimbles Privacy Policy

If you need assistance or would like to request an accommodation in connection with the application process please contact .


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Senior IC

Shape the Future of Intelligence as our next Senior AI Data Pipeline Engineer!Are you ready to build the backbone of next-generation AI Trimble is looking for a visionary AI Data Pipeline Engineer to design and scale the sophisticated infrastructure that powers our global data-driven initiatives. Yo...
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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. ... View more

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