Petroleum refining operator with industrial automation and supply-chain optimization focus
PBF Energy operates refineries across North America with a technology stack heavily weighted toward industrial control systems (Allen-Bradley, Siemens, Modbus, SCADA) alongside modern cloud data platforms (Azure, Snowflake, Databricks, BigQuery). The hiring mix—27 engineering roles, 19 ops, and 9 procurement, mostly senior-level—reflects active work on refinery optimization, LP model accuracy, and supplier risk management. Pain points cluster around legacy data modernization and supply-chain resilience in volatile markets.
Notable leadership hires: Procurement Lead
PBF Energy is a publicly traded petroleum refiner operating production facilities across North America. The company pursues acquisition-driven growth while optimizing operations across its existing refinery portfolio. Current work centers on three operational fronts: refinery turnaround planning and execution (capital projects), process modeling and LP optimization (predictive analytics), and supplier and procurement risk management. Technology investments span industrial automation (SCADA, PLC controls) for site operations and cloud data stacks (Snowflake, Databricks, Power BI, Tableau) for analytics and strategic dashboards.
Allen-Bradley, Siemens PLC, and Modicon PLC controllers; Wonderware InTouch and FactoryTalk View for HMI; Modbus TCP/RTU and EtherNet/IP for field communication; SCAD systems across refineries.
Azure, Snowflake, Databricks, BigQuery, AWS, GCP, and SAP Datasphere for data warehousing and lake architecture; Power BI and Tableau for visualization; Fabric and Synapse for analytics pipelines.
PBF Energy's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.