Direct client
Refinery Data Engineer (Dallas)
Target State Date: ASAP
Position is Remote
M-F 40 Hours/wk
No Per Diem, No Expenses & No Travel
We are seeking a detail driven Data Engineer with experience in petroleum refining operations to support our instrumentation, asset tracking, and real-time data integration. This role focuses on extracting equipment and instrument details from refinery Piping & Instrumentation Diagrams (P&IDs), structuring asset relationships, and mapping them to PI tags to create hierarchies that can be used in other systems.
Responsibilities
• Scrape, interpret, and organize data from refinery P&IDs and equipment data sheets, including complex systems such as crude units, hydrotreaters, reformers, FCC units, hydrocrackers, cokers, sulfur plants, utilities, etc.
• Identify and catalog refinery equipment—pumps, compressors, exchangers, reactors, columns, furnaces, instrumentation, etc.
• Associate instrumentation with process equipment, ensuring accurate linkage of instruments to a corresponding asset variable for hierarchies.
• Map instruments to PI Asset Framework Attributes to enable mapping of flow, temperature, pressure, level, composition, and equipment health
• Add Mapped PI Tags to deployed PI Asset Framework and deploy/manage calculation deployment.
• Perform data validation and quality checks, ensuring equipment identifiers, tag numbers, and signal paths match refinery documentation and field data.
• Work closely with HF Sinclair team to resolve discrepancies and confirm correct data associations.
• Support standardization of naming conventions, tag structures, and documentation aligned with refinery engineering practices
• Provide information on status of completeness of work as a percentage.
Required Qualifications
• Direct experience working with refinery P&IDs, equipment lists, and process flow documentation.
• Familiarity with PI Systems (PI tags, PI AF, hierarchies, templates) and live process data streams common in refining operations.
• Strong understanding of refinery process equipment and instrumentation, including transmitters, analyzers, control valves, switches, interlocks, and safety systems.
• Proficiency with Excel or other data processing tools commonly used for engineering data management.
• High attention to detail with the ability to navigate complex refinery documentation and identify inconsistencies.
Preferred Qualifications
• Experience in a technical role such as engineering within a refinery
• 1-2 years experience configuring PI Asset Framework