Senior GCP Data Engineer

Build Livingston’s GCP data infrastructure as a Senior Data Engineer, designing end-to-end pipelines for high-volume logistics operations. Work hands-on across cloud data engineering and architecture.

Reporting to the Director, IT, this senior role supports Livingston’s Data & Analytics function. You will build ETL and ELT pipelines, optimize warehouse and lakehouse structures, and enable reporting, forecasting, advanced analytics, and AI. Collaboration spans Operations, Supply Chain Planning, Finance, internal IT, and Business Intelligence teams.

Key Responsibilities:

• Design scalable pipelines from TMS, ERP, EDI, and telematics sources
• Build infrastructure for near-real-time shipment and inventory visibility
• Establish metadata, validation, reconciliation, and data quality processes
• Optimize cloud pipeline reliability, latency, scalability, and cost
• Mentor engineers and contribute to standards, documentation, and reviews

Requirements:

• Six years of related data engineering experience
• Strong SQL and programming proficiency, including Python or Apache
• Hands-on GCP pipeline building and orchestration experience
• Experience with cloud platforms and services such as BigQuery or Composer
• Working knowledge of streaming technologies such as Kafka or Pub/Sub

Apply senior GCP data engineering expertise to Livingston’s logistics pipelines, governance, architecture, and near-real-time data products.