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 sourcesBuild infrastructure for near-real-time shipment and inventory visibilityEstablish metadata, validation, reconciliation, and data quality processesOptimize cloud pipeline reliability, latency, scalability, and costMentor engineers and contribute to standards, documentation, and reviewsRequirements:
Six years of related data engineering experienceStrong SQL and programming proficiency, including Python or ApacheHands-on GCP pipeline building and orchestration experienceExperience with cloud platforms and services such as BigQuery or ComposerWorking knowledge of streaming technologies such as Kafka or Pub/SubApply senior GCP data engineering expertise to Livingston’s logistics pipelines, governance, architecture, and near-real-time data products.
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