Petrotechnical Data Solutions Engineer (Upstream)

Deloitte • Tampa, FL

13d • $110,700 - $218,300

About The Position

Deloitte is seeking a results-oriented professional to join its AI & Data Energy, Resources & Industrials - Energy & Chemicals team, building data- and AI-enabled solutions for upstream oil and gas operations. The role may focus on subsurface and well data—including seismic interpretation, well logs, drilling and completions, reservoir models, production history, and well performance—as well as data engineering, integration, quality, governance, and analytics across exploration, appraisal, development, and production. The engineer will combine upstream workflow knowledge with hands-on data engineering, analytics, and AI/ML skills to help clients make better-informed technical and operational decisions.

As a Data Engineer III, the successful candidate will contribute to client engagements, develop scalable data products and analytics solutions, and collaborate with high-performing teams. Deloitte’s AI & Data practice designs, develops, and operates data and AI platforms, products, insights, and services that help clients grow and scale their capabilities. Recruiting for this role ends on 11/30/2026. The position may be filled in any of 33 listed U.S. locations, and travel may be required up to 50% on average.

Requirements

• At least 4 years of consulting or industry technology experience delivering data, analytics, and artificial intelligence solutions for the Energy & Chemicals domain.
• At least 2 years of hands-on experience with upstream workflows spanning exploration, drilling and completions, reservoir management, and production operations.
• At least 2 years of hands-on experience with upstream data standards or platforms, including WITSML, PRODML, RESQML, or OSDU.
• At least 2 years of hands-on experience with well, log, seismic, drilling, completion, reservoir, or production data formats and applications.
• At least 4 years of experience with SQL and Python or R for data analysis and modeling.
• At least 2 years of experience leading project workstreams and/or project teams, with resources in multiple locations.
• Bachelor’s degree in data engineering, computer science, petroleum engineering, geoscience, or a related field.
• Ability to travel up to 50% on average, based on assigned work and clients or industries served.
• Ability to work independently and collaboratively as part of a team.
• Effective written and verbal communication skills.
• Meticulous attention to detail and quality of work product.
• Ability to build and sustain professional relationships.
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment.
• Strong interpersonal skills and professional demeanor.
• Ability to mentor and provide clear guidance to others.

Nice To Haves

• Client-facing consulting experience, including working with teams across multiple locations.
• Experience with cloud computing platforms, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
• Experience with emerging technologies such as GenAI and advanced data architectures such as Data Mesh, Data Fabric, or Data Products.
• Experience with business intelligence and visualization tools such as TIBCO Spotfire, Power BI, or Tableau.
• Experience translating business needs into data and analytical requirements and communicating clearly with technical and non-technical audiences.

Responsibilities

• Support delivery of data and analytics engagements for upstream oil and gas clients across exploration, appraisal, development, and production.
• Integrate, profile, and analyze upstream data, including seismic interpretations, well logs, drilling and completions records, reservoir models, and production histories.
• Develop data pipelines and models connecting wells, wellbores, completions, formations, reservoirs, facilities, and production measurements.
• Apply data-quality, governance, metadata, and lineage practices to improve trust in upstream data products.
• Build analytics and AI/ML solutions for use cases such as well planning, production surveillance, reservoir management, and asset performance.
• Develop dashboards and visualizations that help technical and operational teams turn data into decisions.
• Collaborate with geoscientists, petrophysicists, reservoir and production engineers, drilling teams, data specialists, and client stakeholders to shape solutions and delivery plans.
• Document workflows, data definitions, assumptions, and analytical findings for technical and business audiences.
• Prepare client-ready deliverables, workshop materials, and presentations.
• Support pursuits and proposal content as needed.
• Contribute to practice assets and accelerators, and mentor junior practitioners.
• Lead project workstreams or teams and manage multiple tasks in a fast-paced, dynamic environment.

Benefits

• Potential eligibility to participate in a discretionary annual incentive program, subject to program rules and performance factors.
• A broad range of employee benefits; specific benefits are not detailed in the posting.
• Opportunities for on-the-job learning, formal development programs, leadership opportunities, and mentorship.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level