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Petrotechnical Data Solutions Engineer

Deloitte
Chicago, IL, USAHybridAI/MLMid-Level$110,700 - $218,300Posted: yesterday

About the role

Position Summary

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You’ll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 11/30/2026.

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

A successful candidate would possess these skills:

Ability to work independently and collaborate 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 lead projects or workstreams

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

The team

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required:

4+ years of consulting or industry technology experience delivering data, analytics, and artificial intelligence solutions for Energy & Chemicals domain

2+ years hands-on experience with:

upstream workflows spanning exploration, drilling and completions, reservoir management, and production operations

upstream data standards or platforms, including WITSML, PRODML, RESQML, or OSDU

well, log, seismic, drilling, completion, reservoir, or production data formats and applications

4+ years experience with SQL and Python (or R) for data analysis and modeling

2+ years 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 the work you do and the clients and industries/sectors you serve

Limited immigration sponsorship may be available

Preferred:

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 (i.e., Data Mesh, Data Fabric, Data Products, etc.)

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 to communicate clearly with technical and non-technical audiences

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.

At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $110,700 to $218,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.

Recruiting tips

From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.

Benefits

At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.

Our people and culture

Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.

Our purpose

Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more.

Professional development

From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see https://www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles’s Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers

Requisition code: 372991

Minimum requirements

  • 4+ years consulting or industry experience delivering data, analytics, and AI solutions in Energy & Chemicals
  • 2+ years hands-on with upstream workflows, data standards (WITSML, PRODML, RESQML, OSDU), and related data formats
  • Bachelor’s degree in data engineering, computer science, petroleum engineering, geoscience, or related field; 4+ years SQL and Python (or R) experience

This listing was parsed by AI and may not be complete. Check the official posting on Deloitte's site for the most accurate information.

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