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Oil Refinery Operator Jobs in Spring, TX (NOW HIRING)

Operator

Houston, TX ยท On-site

Our diversified portfolio cuts across many segments of the energy industry from trading crude oil ... Schedule refined product movements across Colonial, Magellan, Explorer, and/or Plantation pipelines

Sr E&I Reliability Engineer

Spring, TX ยท On-site

$95 - $130/hr

... Oil & Gas, or related experience JOB REQUIREMENTS * Serve as the site technical resource for Electrical, Instrumentation, and Analyzer reliability and compliance programs across refinery operating ...

... crude oil, refined products and petrochemicals. Our services include: natural gas gathering ... and operating costs. * Maintain advanced monitoring devices (gas, flame, or fire detectors ...

Showing results 21-40

Oil Refinery Operator information

See Spring, TX salary details

$10

$19

$29

How much do oil refinery operator jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for oil refinery operator in Spring, TX is $19.77, according to ZipRecruiter salary data. Most workers in this role earn between $15.82 and $21.83 per hour, depending on experience, location, and employer.

What does an oil refinery operator do?

An Oil Refinery Operator monitors and controls equipment used in refining crude oil into useful products like gasoline, diesel, and jet fuel. They regulate temperature, pressure, and flow rates, ensuring the process runs safely and efficiently. Operators conduct routine inspections, troubleshoot issues, and follow strict safety procedures to prevent accidents. The role requires attention to detail, technical knowledge, and the ability to respond quickly to any system abnormalities.

What are the key skills and qualifications needed to thrive as an oil refinery operator?

To thrive as an Oil Refinery Operator, you need a solid understanding of mechanical systems, chemistry, safety protocols, and typically a high school diploma or technical certification. Familiarity with distributed control systems (DCS), process monitoring tools, and safety certifications such as OSHA or HAZWOPER is often required. Strong problem-solving skills, attention to detail, and effective teamwork make operators stand out on the job. These abilities are crucial for maintaining efficient, safe refinery operations and preventing costly or hazardous incidents.

What are some typical challenges oil refinery operators face on the job?

Oil Refinery Operators often encounter challenges such as managing equipment malfunctions, responding quickly to process upsets, and maintaining rigorous safety and environmental standards. These roles require alertness and the ability to adapt to changing operating conditions, sometimes during long or rotating shifts. Operators must also stay up to date with evolving technology and regulations, which may involve ongoing training. Working closely with maintenance teams, engineers, and other operators helps effectively address these challenges and keep plant operations running smoothly.

How do I become an oil refinery operator?

To become an oil refinery operator, candidates typically need a high school diploma or equivalent, followed by on-the-job training or technical education in process technology or related fields. Relevant skills include understanding of safety procedures, equipment operation, and maintenance, often supported by certifications such as OSHA safety training. Experience in industrial settings and the ability to work in shifts are also important for this role.

How much do oil refinery operators make?

Oil refinery operators in Texas typically earn an average annual salary of around $70,000 to $85,000, depending on experience, certifications, and the specific refinery. They often work in shifts and need technical skills to monitor and control refining processes.

Is it hard to get a job at an oil refinery?

Getting a job as an oil refinery operator can be competitive and often requires relevant technical skills, safety training, and sometimes certifications such as OSHA or process safety management. Employers typically look for experience in industrial environments and the ability to work in shifts, but opportunities depend on the region and current industry demand.

What job categories do people searching Oil Refinery Operator jobs in Spring, TX look for?

The top searched job categories for Oil Refinery Operator jobs in Spring, TX are:

What cities near Spring, TX are hiring for Oil Refinery Operator jobs?

Cities near Spring, TX with the most Oil Refinery Operator job openings:

Infographic showing various Oil Refinery Operator job openings in Spring, TX as of August 2026, with employment types broken down into 51% Full Time, 47% Part Time, 1% Contract, and 1% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $41,127 per year, or $19.8 per hour.

Senior Solutions Engineer - Energy/Oil & Gas

DataRobot, Inc.

Houston, TX โ€ข On-site

$120 - $180/hr

Other

Medical, Dental, Vision

Posted 28 days ago


Job description

## Senior Solutions Engineer - Energy/Oil & GasApplylocations: Houston, Texas, UStime type: Full timeposted on: Posted Yesterdayjob requisition id: R-102731**Job Description:**DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business โ€” today and in the future. As a Senior Pre-Sales AI Solutions Engineer for Oil & Gas, you'll be the technical leader in the field for complex, high-impact opportunities across the energy value chain โ€” upstream (exploration, drilling, production), midstream (pipeline and transport), and downstream (refining, petrochemicals). You will partner with Account Executives and sales leadership to run technical discovery, architect solutions, deliver compelling demos, and lead proof-of-value engagements that show measurable outcomes against the metrics operators care about, such as production uplift, unplanned-downtime reduction, HSE performance, and emissions and methane-monitoring targets, while addressing governance, risk, and the deployment realities of remote, intermittently connected, and often air-gapped operating environments.This is a hands-on role for someone who can credibly advise energy customers on how to move from "AI pilots" to production-grade AI systems with observability, governance, and controls across models, LLMs, and agentic appsโ€”including AI that must operate alongside OT/SCADA and industrial historian systems in safety-critical settings.****Key Responsibilities:***** Business-to-Technical Translation: Partner with sales teams to understand operators' strategic priorities and technical constraints; map those to DataRobot capabilities, with tailored messaging for energy personas (CIO/CTO, Chief Data Officer, VP of Digital/Digital Transformation, reservoir and production engineering leaders, plant and reliability managers, HSE leadership, and OT/process-control practitioners).* Demo Execution & Use Case Framing: Deliver engaging, outcome-oriented demos grounded in oil & gas use cases, such as predictive maintenance on rotating equipment (ESPs, compressors, turbines), production optimization and decline-curve analysis, predictive emissions and methane-leak detection, drilling optimization and ROP prediction, refinery yield and energy optimization, and demand forecasting, for both new prospects and existing customers; shape and refine use cases based on asset maturity, data availability, and strategic alignment.* Solution Design & Deployment Readiness: Define key technical requirements and recommend deployment models that fit energy operating realitiesโ€”on-prem, edge, hybrid, and air-gapped or low-connectivity field deployments, and advise on readiness of data to ensure quick time-to-value for new and expansion opportunities.* Compliance & Security Alignment: Support conversations around AI governance, data security, model transparency, and responsible AI in alignment with industry and regulatory context relevant to energy operators (process-safety and critical-infrastructure expectations, OT/IT segmentation, and emerging AI governance standards).* Cross-Functional Feedback Loop: Provide structured feedback on energy-sector needs, procurement hurdles, and technical blockers to Product, Marketing, and Enablement teams, ensuring DataRobot's offerings remain relevant for upstream, midstream, and downstream buyers.* Sales Collaboration: Act as a trusted advisor across the sales team by supporting Account Executives, and Engagement Director with the technical knowledge and assets that advance AI adoption in oil & gas accounts.****Knowledge, Skills and Abilities**:*** Strong ability to translate GenAI and ML platform capabilities into the language of energy operations and the metrics operators are measured on.* Familiarity with oil & gas data and systemsโ€”industrial time-series/sensor data, OT/SCADA and historian platforms, and common upstream/midstream/downstream workflowsโ€”strongly preferred.* Demonstrated success supporting sales pursuits (new logos and account expansion) with technical expertise and solution design.* Excellent communication and demo skills; proven ability to present complex AI concepts in a clear, value-driven manner to both business leaders and technical stakeholders, including engineers and OT practitioners.* Comfort working in a fast-paced environment with evolving product offerings and shifting priorities.****Requisite Education and Experience / Minimum Qualifications:***** 6โ€“10 years of experience in customer-facing AI engagement, pre-sales engineering, or technical consulting within software/SaaS, with direct experience in oil & gas, energy, or utilities preferred.* Bachelor's degree in a technical, analytical, or business-related field (or equivalent experience); advanced degree in a technical or analytical field, or in petroleum/chemical/mechanical engineering or geoscience, a plus.* Experience supporting AI/ML or advanced analytics sales, ideally for industrial or energy use cases.* Ability to travel up to 25% on average to customer meetings, workshops, industry conferences (e.g., energy-sector events), and field/asset sites, which may include travel to operational facilities.The talent and dedication of our employees are at the core of DataRobotโ€™s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employeesโ€™ well-being at the core. Hereโ€™s what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!**DataRobot Operating Principles:*** Wow Our Customers* Set High Standards* Be Better Than Yesterday* Be Rigorous* Assume Positive Intent* Have the Tough Conversations* Be Better Together* Debate, Decide, Commit* Deliver Results* OvercommunicateResearch shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. **At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box.** Weโ€™d love to have a conversation with you and see if you might be a great fit. DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Laborโ€™s EEO poster and EEO poster supplement for additional information. #J-18808-Ljbffr