Digital transformation in oil, gas, and utilities rarely stalls because of the technology itself. SCADA upgrades, SAP migrations, grid modernization programs, and new data platforms all depend on people who understand the physical operations underneath them just as well as the software running on top, and across the US labor market right now, that combination is in short supply.
Most energy companies aren’t short on budget for these programs. They’re short on the engineers, developers, and OT/IT specialists who can actually build, secure, and run what leadership already approved. This guide looks at where that gap shows up across upstream, midstream, downstream, and utility operations, and at the staffing models that are actually closing it.
The capital is already moving. Investor-owned electric companies are on pace to spend nearly $208 billion on grid upgrades in 2025, the highest amount on record, with capital expenditures up more than 16% from 2024 and more than $1.1 trillion projected between 2025 and 2029. A meaningful share of that is going toward grid modernization, smart metering, and the IT systems that keep a modern utility running.
Oil and gas companies are moving just as fast on the IT side of their budgets. Deloitte’s analysis for its 2026 Oil and Gas Industry Outlook found that AI and generative AI currently make up less than 20% of total IT spending at US oil and gas companies, and are projected to pass 50% by 2029. That’s not a modest pilot program. It’s a full reallocation of technology budgets toward AI, cloud, and data work, happening inside companies that still need people watching SCADA systems and running SAP.
None of that spending closes a staffing gap by itself. EY’s Future of Energy survey of oil and gas and chemicals executives found that 82% call hiring and retaining workers proficient in new technologies a real challenge. The budget line gets approved well before anyone figures out who is going to do the work, and by the time a project is ready to move, the people who can run it are already committed somewhere else.
Utilities carry a second pressure layered on top of the spending numbers above: a workforce that’s retiring faster than it’s being replaced. The US Department of Energy’s 2025 United States Energy and Employment Report, reported by POWER magazine, found that construction employers in the transmission, distribution, and storage sector reported acute hiring challenges, with 89% indicating at least some difficulty finding qualified workers. At electric cooperatives specifically, the retirement curve is steep enough to plan around on its own: NRECA data estimates about 18% of the co-op workforce will be eligible to retire within five years.
That combination, rising grid modernization spend alongside a shrinking pool of people who know both the legacy systems and the new ones, means utilities technology staffing has to solve two problems at once. New hires need to understand advanced distribution management systems, metering infrastructure, and smart grid software, and they need to do it while the people who know the existing systems are heading toward retirement rather than training replacements. A domestic-only search for that combination routinely takes months that most capital projects don’t have to spare.
The gap between what energy companies are funding and who they can hire to build it looks like this:
Energy Digital Transformation Staffing
The money is budgeted. The people are the hard part.
What's funded
$208B
Investor-owned utility capital spending in 2025, the highest on record, up more than 16% from 2024
$1.1T
Projected utility capital investment, 2025 to 2029
>50%
Share of US oil and gas IT spending AI and generative AI are projected to reach by 2029, up from under 20% today
What's hard to staff
82%
Of oil and gas and chemicals executives call hiring and retaining tech-proficient workers a challenge
89%
Of construction employers in transmission, distribution, and storage had at least some difficulty finding qualified workers
~18%
Of electric cooperative employees estimated to be retirement-eligible within five years, about one in five
Sources: Edison Electric Institute 2024 Financial Review via Utility Dive (Oct. 2025) · Deloitte 2026 Oil and Gas Industry Outlook via JPT/SPE · EY Future of Energy Survey (March 2025) · US Department of Energy 2025 United States Energy and Employment Report via POWER (Jan. 2026) · National Rural Electric Cooperative Association via Cooperative.com
Upstream, midstream, and downstream operations don’t need the same specialists, and treating them as one undifferentiated oil and gas IT hiring problem is part of why these searches take so long. Upstream teams are leaning into production data and subsurface analytics. Midstream operations lean on pipeline SCADA and logistics software. Downstream refining runs on an entirely different stack: process control systems, SAP IS-Oil’s refining-specific data model, and terminal and inventory management software that a general ERP consultant hasn’t touched before.
That downstream specialization shows up in how long a search takes, not just in the pay data. A SAP and ERP implementation staffing search for a general consultant moves faster than one for someone who actually knows IS-Oil’s upstream production and downstream refining logic, because the second pool is much smaller. EY’s same executive survey found 76% of oil and gas and chemicals companies have adopted cloud computing and 71% have adopted AI in some form, which means downstream operations are now expected to run modern cloud and AI tooling on top of refining systems that were never built with that in mind. Finding people who can bridge both sides of that, refining operations and modern IT, is the actual bottleneck, not the technology itself.
The engineers these programs actually need don’t fit neatly into either camp. A SCADA upgrade or a grid modernization rollout needs someone who understands the control systems on the plant floor and can also work inside a modern IT environment well enough to secure and integrate the two, and most engineering training paths still produce specialists in one side or the other, not both.
That scarcity extends to the physical build-out these programs depend on. Capital projects, whether a greenfield substation or a brownfield refinery upgrade, need mechanical, electrical, and automation engineers who can work alongside the OT/IT specialists rather than in a separate silo, and a domestic-only search for that combined profile routinely stretches a project timeline by months. Energy companies that have already had to look outside the standard domestic hiring pipeline for this kind of cross-trained talent are finding that the search gets faster once they stop treating it as one role split across two departments.
Once the roles are defined, energy companies typically choose between three paths: hiring directly in the US, bringing in a large engineering firm or systems integrator, or staffing through a nearshore partner. The first is slow and expensive for the specialized roles this work needs. The second solves for speed but prices OT/IT consultants well above what most IT budgets were built to absorb, because the rate card carries the overhead of a full consulting engagement, not just the specialist’s own time.
Nearshore staffing solves for both at once. The infographic below reflects general IT market rates rather than an energy-specific benchmark, but the gap holds across the roles a digital transformation program actually needs filled.
The pattern repeats across almost every role this kind of program needs, and it’s a big part of why energy companies that have run the math once tend to keep nearshore staffing in the mix for the next capital project rather than defaulting back to a domestic-only search. Across 367 senior placements since 2022, Fast Dolphin’s nearshore cost advantage analysis puts the weighted average savings at 54%, in line with the role-level gap shown above.
Energy Digital Transformation Staffing
US vs. nearshore rates, by role
Representative hourly rates for roles common to digital transformation programs. General IT market data, not an energy-specific benchmark.
SAP functional consultant
US rate
$90 to $170/hr
Nearshore rate
$40 to $75/hr
Cloud or data platform architect
US rate
$120 to $180/hr
Nearshore rate
$45 to $80/hr
Data engineer
US rate
$100 to $160/hr
Nearshore rate
$40 to $70/hr
Sources: Fast Dolphin nearshore cost comparison, US vs. Latin American development teams (role-level rates) · Fast Dolphin Nearshore Cost Advantage Report, 367 senior placements since 2022, 54% weighted average savings. Figures reflect general IT market rates and aren't energy-specific.
Compare real US hiring costs against nearshore IT and Engineering rates in minutes, no commitment required.
Every pressure covered above points to the same fix: a staffing partner that moves faster than a domestic-only search and costs less than a systems integrator’s rate card.
For SCADA, industrial control, and other OT/IT roles, Fast Dolphin draws from a vetted pool of bilingual engineers across Latin America who already understand both sides of that divide, so a search doesn’t start from zero. For SAP IS-Oil, cloud, and data specialists, the same staffing model applies at a cost well below US-based hiring, without asking a company to compromise on the specialization itself. The same vetting extends to OT and ICS cybersecurity roles, where the scarcity is just as real and the stakes are higher. And for the scale a greenfield build or a brownfield modernization demands, a nearshore partner can stand up a large temporary team fast enough to match the project’s own timeline rather than the slower pace of a domestic-only hiring pipeline.
Most of this runs through temporary IT and engineering staffing, which puts vetted specialists directly under your team’s direction at nearshore rates for the length of a program, with contract-to-hire available within that same engagement when you want to try someone on a project before committing further. Once a role proves out, an SCADA lead or an SAP specialist your team wants to keep long-term, direct hire staffing converts that person into a permanent member of the team, backed by a 90-day replacement guarantee: if the professional leaves or is let go for documented poor performance within the first 90 days, Fast Dolphin replaces them at no cost, or refunds the fee on a pro-rata basis if it can’t.
Fast Dolphin already staffs IT roles across the energy sector, including a recent cross-border engagement with an energy client in Brazil that cut costs while keeping the arrangement fully compliant, and for most of these roles, the first candidate arrives in 24 to 48 hours rather than the months a specialized domestic search usually takes.
Tell us what you’re building, and we’ll connect you with vetted IT and Engineering professionals from Latin America, ready to start in days.
SCADA and industrial control specialists, SAP IS-Oil and broader ERP consultants, and OT and ICS cybersecurity engineers are consistently the hardest to fill, because each one requires someone who understands both a specific energy-industry system and modern IT practices well enough to secure and integrate them.
Downstream refining runs on its own systems, including SAP IS-Oil’s refining-specific data model and terminal and process control software, so a downstream specialist needs refinery-operations knowledge that an upstream production-data or midstream pipeline-IT specialist typically doesn’t have.
It varies by role, but for SAP, cloud, and data positions the gap between a US rate and a nearshore rate commonly runs to half or more, which is enough to change whether a capital project’s IT budget can support the specialist it needs at all.
Yes, as long as the staffing partner specifically vets for the industrial-systems and security background those roles require. The same nearshore sourcing model used for general cybersecurity teams applies directly to OT and ICS-specific positions, since the underlying scarcity and vetting needs are the same.
Temporary staffing fits project-scale, time-bound needs, like standing up a team for a greenfield build or an SAP go-live, with contract-to-hire available inside that same engagement. Direct hire fits once a role has proven out as a long-term need, and every Direct Hire Staffing placement includes a 90-day replacement guarantee.
Most searches deliver the first candidate in 24 to 48 hours, compared to the weeks or months a specialized domestic search for the same role typically takes.
