{"id":2556466,"url":"https://alion.io/job/slb-reservoir-engineer-4","title":"Reservoir Engineer","company":{"id":2187498,"name":"SLB","domain":"schlumberger.com","url":"https://alion.io/company/schlumberger-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":83,"open_postings":163,"ghost_share":0,"stale_share":0.669,"repost_share":0,"time_to_fill_p50_days":46,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Villahermosa, Mexico"],"countries":["MX"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":47000,"max_usd":110000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1531},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":true},{"name":"Microsoft Office","optional":true}],"status":"live","first_seen_at":"2026-02-24T17:39:52Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-16T15:07:29Z","board_verified":true,"closed_at":null,"days_open":234,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":233},"description":"Reservoir Engineer\nLocation:Ciudad del Carmen, Campeche, Mexico\nKey Responsibilities\nSupport reservoir engineering activities to ensure safe, efficient, and reliable service delivery.\n\nDevelop and optimize reservoir studies, simulation models, forecasting, and field development plans.\n\nProvide technical support throughout the sales, operations, and service delivery process.\n\nIdentify opportunities for new technologies, integrated workflows, and business growth.\n\nSupport tender evaluations, customer presentations, and technical proposals.\n\nProvide real-time technical support to operations.\n\nPromote continuous improvement, innovation, and knowledge sharing within the organization.\n\nRequirements\nEducation\nBachelor's Degree in Petroleum Engineering, Reservoir Engineering, Geological Engineering, or related disciplines.\nPreferred:Specialization or Master's Degree in Reservoir/Petroleum Engineering.\nExperience\nMinimum 10 years of Reservoir Engineering experience in the Oil & Gas industry.\n\nStrong background in subsurface studies, reservoir characterization, and reservoir simulation.\n\nExperience working with operators, service companies, consulting firms, or private Oil & Gas companies.\n\nExperience with fractured reservoirs is a plus.\n\nExposure to AI, data analytics, or machine learning applied to reservoir engineering is desirable.\n\nTechnical Skills\nAdvanced reservoir simulation and reservoir management knowledge.\n\nProficiency in Petrel, Intersect, and/or Eclipse.\n\nExperience in history matching, production forecasting, reserves evaluation, and field development planning.\n\nUnderstanding of integrated subsurface workflows.\n\nProficiency in Microsoft Office.\n\nAdvanced English proficiency.\n\nCompetencies\nStrong leadership capabilities and ability to mentor technical teams.\n\nExcellent analytical and problem-solving skills.\n\nStrong communication and stakeholder management skills.\n\nCustomer-focused mindset with business development awareness.\n\nAbility to work effectively in multidisciplinary teams.\n\nSLB does not require a fee for applying to the recruitment process.\nApplicants must be 18 years or older to apply.\n\nSLB offers equal employment opportunity. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law.\nSLB ofrece igualdad de oportunidades en el empleo. 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