Senior AI Data Pipeline Engineer

Trimble Inc. • Lake Oswego, OR

1d

About The Position

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 it's 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 world's most complex physical challenges.

Requirements

• 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

Nice To Haves

• 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

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

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees