Data Engineering Consultant Jobs
Data Engineering Consultant jobs are open across financial services, healthcare, technology, and retail, from mid-level to principal and staff, with specializations in cloud data platforms, pipeline architecture, and analytics infrastructure. Find a role that fits below and apply directly.
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Join our dynamic team as an Energy Data Management Consultant and play a pivotal role in shaping our strategic roadmap based on data management best practices and customer needs. This role offers an exciting opportunity to contribute to pre-sales efforts, deliver training on data management topics, and stay updated on OSDU developments and energy data management trends. You'll also have the chance to represent the company at industry conferences and events.
If you're passionate about building expertise in data-related concerns of renewables and energy transition, we'd love to hear from you.
Req.#1132920237
Responsibilities
- Provide domain expertise to oil and gas clients in:
- Data Management best practices to lay good data foundations (e.g. master data management, reference data management, data quality, data governance, metadata management, document management, data integration, data migration)
- Data Management using the OSDU™ data platform (e.g., data model principles, platform maturity, services available and their purpose)
- In the case of Upstream Oil and Gas: E&P business processes like subsurface interpretation, well delivery (planning, drilling, completing, producing), petrophysical analysis, core analysis, geologic modeling, reservoir simulation, etc.
- Data modeling and data mapping between various data models
- Tying the value of data management/data foundations to business value, applications, analytics, and business decisions
- Display excellent communication skills; Approach internal and external clients with consultative, empathetic, attitude; Facilitate meetings and workshops; Communicate with a variety of communication styles, delivering difficult messages diplomatically and successfully
- Display excellent problem-solving skills; Approach problems proactively, with both a big picture mindset and a high level of attention to detail, including taking detailed notes in critical meetings; Use expertise to define problems to solve and propose viable solutions
- Discover, document, and assess a client’s current state data ecosystem, considering applications, data platforms, data types, data formats, data flows, gaps, and pain points
- Work closely with Solution Architects and project teams to help in tool and architecture selection and implementation (e.g., medallion architecture), making sure industry data is handled with appropriate detail to meet business needs
- Develop a strategic roadmap, based on data management best practices combined with customer needs and pain-points
- Contribute to training preparation and delivery on data management topics, for both external and internal audiences
- Remain current on Energy data management topics including common issues, new data types, best practices, data standards, industry software offerings, methods of data transmission, methods of data storage/shapes of data, data governance best practices
- Remain current on the state of A.I. usage, and strengths and weaknesses, especially as it relates to data management topics
- Use GenAI tools combined with your own critical thinking, to assist in all job roles
- Build expertise in data-related concerns of renewables and energy transition, including data types, sources, standards, challenges, and relevant use cases
- Actively contribute the energy data strategy perspective to pre-sales efforts for existing and potential clients, including articulation of data management and related service offerings; present to potential clients and help to shape and communicate staffing plans and scope for proposals; lead discovery workshops to gather requirements for proposals
- Periodically attend and present at industry conferences and events, representing EPAM
- Periodically travel to client sites for workshops, interviews, and other consulting work
Requirements
- Minimum 10 years in upstream oil and gas, in roles and activities including the following:
- Geoscience Technician, Engineering Technician, Data Management Professional, Data Management Consulting, Data Strategy Consulting, having worked directly and extensively with E&P professionals and their data
- Facilitating cross-domain workshops and interviews, empathetically guiding teams to consensus on contentious points and effectively synthesizing and communicating the information received
- Enterprise data management experience covering data types such as wells, deviation surveys, logs, seismic, core, GIS data types, operations reports, reservoir models, and production volumes
- Experience with industry data standards such as those of PPDM, Energistics, PWLS, SEG, OSDU, ESRI/GIS, and IOGP
- Master Data Management functions such as matching, merging, creating gold records, reference data management, and data definitions management/governance
- Hands-on experience with data platforms and applications such as IHSM/S&P/Opus EDM, Landmark CDS, Quorum TDM, Informatica MDM, Openworks, OSDU, PPDM, Snowflake, and Databricks
- Experience within Data Governance organization and/or setting up a Data Governance organization with roles, responsibilities, and committees
- Data Quality rule design
- Business Analysis for business process mapping (to understand, validate, and communicate business requirements) using tools like Visio, Draw.io, etc. using frameworks like BPMN
- Business and Data Analysis for E&P application integration, particularly data mapping between data models
- Experience with Data Management (loading, exporting, data quality) in end-user GG & RE applications such as Petrel, Geographix, Petra, Kingdom, Wellview, DecisionSpace, RokDoc, Geolog, Transform, Hampson-Russell, Techlog, etc.
- Data analysis and/or data engineering using SQL, Python, or similar
- Training and communication on the activities above
- Preferred: Bachelors and/or Masters degree in any field
- Especially preferred: fields of Data Management, Geology, Geophysics, Reservoir Management, Petroleum Engineering, MIS, GIS, or Computer Science
Nice to have
- Certifications: PPDM™ CPDA™
- Certifications: DAMA™ CDMP™
- Certifications: CompTIA+ Data topic
We offer
- Medical, Dental and Vision Insurance (Subsidized)
- Health Savings Account
- Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
- Short-Term and Long-Term Disability (Company Provided)
- Life and AD&D Insurance (Company Provided)
- Employee Assistance Program
- Unlimited access to LinkedIn learning solutions
- Matched 401(k) Retirement Savings Plan
- Paid Time Off
- Legal Plan and Identity Theft Protection
- Accident Insurance
- Employee Discounts
- Pet Insurance
- Employee Stock Purchase Program
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
Engineer the Future with a Career at EPAM
Applications will be accepted on a rolling basis.
EPAM will not provide new H-1B visa sponsorship for this position. Candidates with existing transferable H-1B status may be considered.
Join our dynamic team as an Energy Data Management Consultant and play a pivotal role in shaping our strategic roadmap based on data management best practices and customer needs. This role offers an exciting opportunity to contribute to pre-sales efforts, deliver training on data management topics, and stay updated on OSDU developments and energy data management trends. You'll also have the chance to represent the company at industry conferences and events.
If you're passionate about building expertise in data-related concerns of renewables and energy transition, we'd love to hear from you.
Req.#1132920237
Responsibilities
- Provide domain expertise to oil and gas clients in:
- Data Management best practices to lay good data foundations (e.g. master data management, reference data management, data quality, data governance, metadata management, document management, data integration, data migration)
- Data Management using the OSDU™ data platform (e.g., data model principles, platform maturity, services available and their purpose)
- In the case of Upstream Oil and Gas: E&P business processes like subsurface interpretation, well delivery (planning, drilling, completing, producing), petrophysical analysis, core analysis, geologic modeling, reservoir simulation, etc.
- Data modeling and data mapping between various data models
- Tying the value of data management/data foundations to business value, applications, analytics, and business decisions
- Display excellent communication skills; Approach internal and external clients with consultative, empathetic, attitude; Facilitate meetings and workshops; Communicate with a variety of communication styles, delivering difficult messages diplomatically and successfully
- Display excellent problem-solving skills; Approach problems proactively, with both a big picture mindset and a high level of attention to detail, including taking detailed notes in critical meetings; Use expertise to define problems to solve and propose viable solutions
- Discover, document, and assess a client’s current state data ecosystem, considering applications, data platforms, data types, data formats, data flows, gaps, and pain points
- Work closely with Solution Architects and project teams to help in tool and architecture selection and implementation (e.g., medallion architecture), making sure industry data is handled with appropriate detail to meet business needs
- Develop a strategic roadmap, based on data management best practices combined with customer needs and pain-points
- Contribute to training preparation and delivery on data management topics, for both external and internal audiences
- Remain current on Energy data management topics including common issues, new data types, best practices, data standards, industry software offerings, methods of data transmission, methods of data storage/shapes of data, data governance best practices
- Remain current on the state of A.I. usage, and strengths and weaknesses, especially as it relates to data management topics
- Use GenAI tools combined with your own critical thinking, to assist in all job roles
- Build expertise in data-related concerns of renewables and energy transition, including data types, sources, standards, challenges, and relevant use cases
- Actively contribute the energy data strategy perspective to pre-sales efforts for existing and potential clients, including articulation of data management and related service offerings; present to potential clients and help to shape and communicate staffing plans and scope for proposals; lead discovery workshops to gather requirements for proposals
- Periodically attend and present at industry conferences and events, representing EPAM
- Periodically travel to client sites for workshops, interviews, and other consulting work
Requirements
- Minimum 10 years in upstream oil and gas, in roles and activities including the following:
- Geoscience Technician, Engineering Technician, Data Management Professional, Data Management Consulting, Data Strategy Consulting, having worked directly and extensively with E&P professionals and their data
- Facilitating cross-domain workshops and interviews, empathetically guiding teams to consensus on contentious points and effectively synthesizing and communicating the information received
- Enterprise data management experience covering data types such as wells, deviation surveys, logs, seismic, core, GIS data types, operations reports, reservoir models, and production volumes
- Experience with industry data standards such as those of PPDM, Energistics, PWLS, SEG, OSDU, ESRI/GIS, and IOGP
- Master Data Management functions such as matching, merging, creating gold records, reference data management, and data definitions management/governance
- Hands-on experience with data platforms and applications such as IHSM/S&P/Opus EDM, Landmark CDS, Quorum TDM, Informatica MDM, Openworks, OSDU, PPDM, Snowflake, and Databricks
- Experience within Data Governance organization and/or setting up a Data Governance organization with roles, responsibilities, and committees
- Data Quality rule design
- Business Analysis for business process mapping (to understand, validate, and communicate business requirements) using tools like Visio, Draw.io, etc. using frameworks like BPMN
- Business and Data Analysis for E&P application integration, particularly data mapping between data models
- Experience with Data Management (loading, exporting, data quality) in end-user GG & RE applications such as Petrel, Geographix, Petra, Kingdom, Wellview, DecisionSpace, RokDoc, Geolog, Transform, Hampson-Russell, Techlog, etc.
- Data analysis and/or data engineering using SQL, Python, or similar
- Training and communication on the activities above
- Preferred: Bachelors and/or Masters degree in any field
- Especially preferred: fields of Data Management, Geology, Geophysics, Reservoir Management, Petroleum Engineering, MIS, GIS, or Computer Science
Nice to have
- Certifications: PPDM™ CPDA™
- Certifications: DAMA™ CDMP™
- Certifications: CompTIA+ Data topic
We offer
- Medical, Dental and Vision Insurance (Subsidized)
- Health Savings Account
- Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
- Short-Term and Long-Term Disability (Company Provided)
- Life and AD&D Insurance (Company Provided)
- Employee Assistance Program
- Unlimited access to LinkedIn learning solutions
- Matched 401(k) Retirement Savings Plan
- Paid Time Off
- Legal Plan and Identity Theft Protection
- Accident Insurance
- Employee Discounts
- Pet Insurance
- Employee Stock Purchase Program
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
Engineer the Future with a Career at EPAM
Applications will be accepted on a rolling basis.
EPAM will not provide new H-1B visa sponsorship for this position. Candidates with existing transferable H-1B status may be considered.
Data Engineering Consultant Jobs by Experience Level
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Find JobsData Engineering Consultant Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Distribution & Wholesale
- Consulting & Professional Services
What Employers Look For
The qualifications that appear most often in data engineering consultant jobs.
- Five or more years of experience building and maintaining large-scale data pipelines
- Proficiency in SQL and at least one of Python, Scala, or Java for data transformation
- Hands-on experience with cloud data platforms such as AWS, Azure, or Google Cloud
- Experience with orchestration tools such as Apache Airflow or similar workflow schedulers
- Familiarity with data modeling concepts including star schema, data vault, and lakehouse patterns
- Bachelor's degree in computer science, information systems, or a related technical field
Tips for Your Data Engineering Consultant Job Search
Tailor your resume to stack depth
Data engineering consultant roles screen heavily on specific tooling. List the exact version or ecosystem you've worked in, such as Apache Spark on Databricks versus AWS Glue, so hiring teams can match your experience to their stack without guessing.
Highlight client-facing delivery experience
Consulting roles weight stakeholder communication as heavily as technical skill. Call out instances where you translated a data architecture decision into business terms for a non-technical client, not just what you built or deployed.
Apply early to roles that fit
Migrate Mate lists data engineering consultant openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter openings by engagement model
Some postings are staff augmentation contracts while others are full project-cycle consulting. Read the scope section carefully before applying. Misaligned expectations on deliverables versus hours are the most common reason offers stall at the final stage.
Prepare a system design walkthrough in advance
Most data engineering consultant interviews include a live architecture exercise. Practice walking through a medallion or lakehouse design out loud, explaining your trade-offs on latency, cost, and schema evolution rather than just drawing boxes.
Negotiate rate against total engagement scope
When discussing compensation on a consulting engagement, ask about total project duration, potential extension terms, and expected travel before settling on a number. A short engagement at a high rate can pay less than a longer one at a slightly lower rate.
Data Engineering Consultant Jobs: Frequently Asked Questions
Which companies are hiring the most data engineering consultants?
The most active employers for data engineering consultants right now are EY, Deloitte, and Control Risks, and the most openings are in New York, Texas, and Illinois, based on current listings on Migrate Mate as of November 2026. Demand is particularly concentrated in professional services firms and enterprise technology companies with active cloud modernization programs.
How many data engineering consultant jobs are remote?
About 100% of data engineering consultant openings are fully remote or hybrid as of November 2026, reflecting sustained flexibility across the field. Cloud-focused engagements and those centered on pipeline development or platform migration tend to offer the most remote flexibility, while roles requiring on-site data governance workshops or stakeholder workshops are more likely to require in-person presence.
How do you become a data engineering consultant?
Start by building deep hands-on experience with cloud data platforms, pipeline tools, and SQL in an in-house data engineering role. Move into project-based work by taking on cross-functional initiatives that require you to communicate architecture decisions to non-technical stakeholders. From there, transition to a consulting firm or pursue independent engagements where you own full project delivery cycles, not just individual components.
Can you get a data engineering consultant job with limited experience?
Entry points exist, but they typically require strong foundational skills in SQL, Python, and at least one cloud platform demonstrated through personal projects, open-source contributions, or academic work. Some consulting firms hire associates or junior consultants specifically to train them on delivery methodology, so targeting firms with structured junior programs gives you a more realistic path than applying directly to senior individual contributor roles.
What does the data engineering consultant interview process look like?
Most processes run three to four stages. An initial recruiter screen is followed by a technical phone interview covering SQL, pipeline design, and cloud tooling. The core stage is usually a system design exercise where you architect a data solution live and walk through trade-offs. Final rounds often include a case study presentation to a panel and a behavioral interview focused on client delivery and stakeholder management situations.
Where can I find and apply to data engineering consultant jobs?
You can find and apply to data engineering consultant jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your experience and stack, then apply directly to each one that fits.
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