Senior AI Data Pipeline Engineer building scalable data pipelines and optimizing AI workflows at Trimble. Designing architectures that enhance digital construction technology across industries.
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
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
Benefits
Medical
Dental
Vision
Life
Disability
Time off plans
Retirement plans
Paid Parental Leave
Employee Stock Purchase Plan
Tax savings plans for health, dependent care and commuter expenses
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