Petrotechnical Data Solutions Engineer (Upstream)

Job Description

Position Summary

Deloitte is seeking a results-oriented professional to join our AI & Data Energy, Resources & Industrials – Energy & Chemicals (ER&I-E&C) 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. You will combine knowledge of upstream workflows with hands-on skills in data engineering, analytics, and AI/ML to help clients make better-informed technical and operational decisions. This role will contribute to client engagements, develop scalable data products and analytics solutions, and grow alongside high-performing teams.

Work you’ll do

As a Data Engineer III on the AI & Data team, you will be responsible for:

Supporting delivery of data and analytics engagements for upstream oil and gas clients across exploration, appraisal, development, and production
Integrating, profiling, and analyzing upstream data, including seismic interpretations, well logs, drilling and completions records, reservoir models, and production histories
Developing data pipelines and models that connect wells, wells bores, completions, formations, reservoirs, facilities, and production measurements
Applying data-quality, governance, metadata, and lineage practices to improve trust in upstream data products
Building analytics and AI/ML solutions for use cases such as well planning, production surveillance, reservoir management, and asset performance
Developing dashboards and visualizations that help technical and operational teams turn data into decisions
Collaborating with geoscientists, petrophysicists, reservoir and production engineers, drilling teams, data specialists, and client stakeholders to shape solutions and delivery plans
Documenting workflows, data definitions, assumptions, and analytical findings for technical and business audiences
Preparing client-ready deliverables, workshop materials, and presentations
Supporting pursuits and proposal content as needed
Contributing to practice assets and accelerators, and mentoring junior practitioners