Time tracking for data center construction projects is far more complex than other jobs: Thousands of workers across various trades, multiple projects operating around the clock, and stricter security measures are just the beginning.
This article looks at why time tracking for data center projects is so difficult, how this contributes to higher labor costs and payroll errors, and what it takes to capture accurate hours at the source.
Why Time Tracking Software Struggles on Data Center Construction Projects
Most time tracking methods were built for a jobsite with one shift, one entry point, and a crew size in the dozens. Data centers rarely look like that.
A single data center campus creates conditions that most time tracking systems were never designed to handle:
- Multiple concurrent shifts since many of these projects are owned by the world’s largest technology companies racing to bring capacity online, which forces multiple shifts in a single day, weekend work, and heavy overtime, meaning workers check in and out at hours a foreman-led paper process was never built to catch
- Layered site security, since access typically requires its own credentialing and screening separate from whatever system a contractor uses to track hours, often including badge-controlled zones, escort requirements for certain restricted areas, and pockets of the site with no WiFi at all
- Large, multi-trade headcount, often running into the hundreds or thousands across electrical, mechanical, and civil trades working in parallel
- Prevailing wage and certified payroll requirements, since some data center projects are publicly funded or tied to incentive agreements that carry Davis-Bacon or state-level prevailing wage obligations, adding a layer of classification and reporting detail most commercial builds don’t have to manage
None of these four pressures shows up on its own. They stack, and a foreman trying to track it all by hand is working with tools that were never built for this scale. That difficulty only grows as a project moves past groundbreaking and into peak crew size, which is exactly when labor costs are highest and least forgiving of errors.
Labor Shortages Are Changing Who Shows Up on Data Center Construction Projects
The construction industry is facing a shortage of roughly 439,000 workers as of late 2025, driven in large part by the pace of data center development, according to the Information Technology and Innovation Foundation. Separately, the Associated Builders and Contractors estimates the broader construction industry will need to add up to 349,000 workers in 2026 alone, a gap covered by Data Center Dynamics.
What does this mean in practical terms? more temp labor, traveling crews, and subcontracted trades filling workforce shortfalls that a contractor’s own workforce can’t cover fast enough, often at the risk of project delays if those shortfalls aren’t filled fast.
Each of those categories is harder to verify with self-reported time than a stable crew of direct employees, and each one adds a layer of risk to payroll and billing on a project where the schedule has almost no slack.
How Does Manual Tracking Lead to Payroll Errors on Data Centers?
Manual tracking leads to payroll errors through three recurring failure points: rekeyed hours, incomplete cost coding, and unverified attendance. Poor time tracking at this scale rarely shows up as one big failure; it surfaces as dozens of small inconsistencies in payroll data that add up fast.
Manual time tracking breaks down in these same places on almost every large build:
- Rekeyed hours. Paper timecards and foreman-entry systems depend on someone manually transferring hours into an ERP or payroll system, and manual entry introduces the kind of transcription errors that surface as payroll errors once hours reach payroll. Picture a tired foreman or PM at the end of a long shift rekeying illegible hand-written hours on paper into an ERP. This can create inaccuracies and inconsistencies.
- Incomplete cost coding. Cost codes and worker classifications, especially for union crews, are often missing or incomplete when hours are submitted, forcing payroll admins to chase down field teams for details that should have been captured the first time. Wrong cost codes can lead to inaccurate job costing.
- Unverified attendance. Without a verified record of who was actually on-site, time theft through buddy punching and unverified attendance becomes difficult to catch until an audit or a billing dispute forces the question. This can lead to overpaying workers for unearned hours.
For data center construction projects billed on time and materials, that last point carries real weight for job costing accuracy. Disputed hours on a capital-scale project can mean six or seven figures of exposure, and a verified time tracking approach to T&M documentation gives contractors defensible records instead of a shrug when a client pushes back on an invoice.
Every one of these breakdowns traces back to the same root cause: construction time is being recorded after the fact instead of capturing time the moment work begins. Payroll errors caught weeks later are far more expensive to fix than the same error caught the same day, both in admin hours spent tracing the mistake and in the trust it costs with workers waiting on an accurate check.
What Accurate Time Capture Looks Like on Data Centers at Scale
The starting point for solving this isn’t a better spreadsheet. It’s capturing accurate time tracking data at the source, before it ever needs correcting:
- Biometric facial verification confirms that the person clocking in is the same person who clocked in the day before, without requiring a pre-uploaded photo or a phone in every worker’s pocket
- Built-in LTE connectivity means the device doesn’t depend on a jobsite’s WiFi, which matters on a data center build where connectivity infrastructure is often still under construction
- Structured data capture at check-in, rather than reconstructed afterward, means cost codes, classifications, and hours are already usable by the time they reach payroll
- Mobile time clock options, for crews or supervisors who need to accurately track time from a phone rather than a fixed device
This is what purpose-built time tracking software for construction teams is meant to solve: not just recording hours, but recording them in a form that holds up under audit and doesn’t require rework before it’s useful.
For project managers overseeing several data centers at once, that consistency matters as much as the accuracy itself. A system that produces the same quality of record on jobsite one as it does on jobsite ten means fewer surprises when hours from every site land in the same payroll run.
Here’s how each of those capabilities maps to a specific challenge data center projects create:
Data Center Time Tracking Challenge | How SmartBarrel Solves It |
Aggressive schedule compression – multiple shifts a day, weekends, heavy overtime | Verified punches capture the exact shift, date, and time worked automatically, so overtime and shift-differential hours are flagged as they accrue instead of recalculated by hand. Time syncs directly with your ERP so there is not delay in getting hours and cost codes to payroll teams. |
Layered site security – badge-controlled zones, escort requirements, no-WiFi areas | Built-in LTE connectivity means devices work independently of jobsite WiFi, and biometric facial verification confirms attendance without needing a phone or network signal at the point of check-in. In remote locations without internet, punches made on the mobile app are still captured and uploaded to the cloud when signal returns. |
Large, multi-trade headcount across hundreds or thousands of workers | Self-registered fobs and zero-training check-in let large crews start working in under a minute, with no per-worker photo uploads, photo shoots or manual setup required |
Prevailing wage and certified payroll requirements | Accurateh ours captured at check in tagged with the right classification from the start, reduces manual rework certified payroll reporting usually requires |
A Data Center Rollout, By the Numbers
Newtron, a specialty electrical and instrumentation contractor with over 1,000 employees, works on large data center projects across multiple states. Before adopting SmartBarrel, the company relied on paper timecards that were physically submitted and rekeyed into their ERP by payroll admins, a process prone to error and often missing the cost codes and classifications needed for union reporting.
After deploying SmartBarrel across six projects, the results included:
Metric | Result |
Payroll processing time | Cut by 20% |
Payroll corrections | Reduced by 25% |
Rollout timeline | 3 weeks, across six active jobs |
Results like these matter most on projects where labor is one of the largest costs, and where a single payroll error compounds quickly across hundreds of workers. Integrating time tracking directly with existing ERP systems is what makes that kind of payroll accuracy possible at scale.
As Praneeth Gali, IT Infrastructure Engineer at Newtron, put it: “Using SmartBarrel for our construction projects has been a fantastic experience. The system is super straightforward, even for large crews spread across multiple sites. It’s truly a construction manager’s best friend.”
The same real-time visibility need shows up on other large, high-security infrastructure builds. On the Washington Metro’s Yellow Line tunnel rehabilitation, Kiewit needed to know exactly who was in the tunnel at any point during 24-hour work across multiple entry points, since a paper sign-in process couldn’t keep pace with the project’s safety requirements. After deploying SmartBarrel at each entrance, Kiewit’s safety team estimated the switch saved $5,000 per day at peak headcount, primarily by eliminating the time crews spent waiting to check in or out.
See how SmartBarrel supports data center construction teams – Request a Demo.
Real-Time Visibility Across Multi-Shift, Multi-Contractor Sites
Data center construction rarely runs on a single shift or a single employer of record. Self-performing crews, subcontracted trades, and temp labor often work side by side, sometimes across staggered shifts that keep multiple jobsites active well outside standard hours.
Real time visibility into the following gives project managers a way to manage that mix, and to make faster resource allocation calls, without waiting for a daily report to catch problems after the fact:
- Who’s on-site right now, by name and by contractor
- Which shift each worker is assigned to
- How headcount compares to what was planned for that day
GPS tracking tied to each check-in confirms not just that a worker clocked in, but that they did so at the correct jobsite, which matters when a single contractor may have crews spread across several data center builds at once.
A live dashboard that updates as workers check in and out gives foremen, superintendents, and payroll admins that same real time visibility at once, instead of reconciling three different versions of the day’s headcount.
Building Toward Audit-Ready Documentation
Data center construction projects, particularly those tied to capital investment at scale, tend to draw more scrutiny than a typical commercial build. That scrutiny usually shows up as documentation requirements that need to withstand a formal review, not just a best guess based on what a foreman remembers:
- Union reporting and classified-hour backup
- Certified payroll submissions
- Compliance with prevailing wage laws across multiple states or jurisdictions
Timestamped, verified punches create an audit trail that shows not just hours worked but who edited a record and when, which simplifies the approval process for anyone reviewing hours after the fact. That kind of documentation matters most when it’s least expected: a compliance question months into a project, a billing dispute on a T&M ticket, or a union audit that asks for backup on every classified hour.
This is increasingly part of what compliance management and construction management look like on a data center build: not just coordinating trades and schedules, but maintaining labor records that hold up without extra administrative lift when someone asks for them.
Verified attendance also closes one of the more common blind spots in construction compliance: proving who was physically on-site, not just who was scheduled to be. A documented, verifiable record of jobsite presence protects contractors on both sides of that question, whether the ask comes from a union, an owner, or an internal audit.
Where Data Centers Are Pushing Construction Technology Forward
Data centers are also where a lot of forward-looking construction technology gets tested first, including digital twin technology used to model and monitor facility systems before and after handoff. That kind of investment reflects how much scrutiny these projects receive across their lifecycle, from design through commissioning.
Time and labor data is part of that same scrutiny, even if it gets less attention than the technology modeling the building. As data center construction projects continue to scale, the construction teams best positioned are the ones whose labor data is already structured and verified, not the ones still cleaning it up after the fact.
That same historical data, once it’s clean, becomes useful for staffing and budgeting decisions on future projects, not just the one currently underway.
Getting construction time right at the source also has a direct line to project costs. Rekeyed errors, disputed T&M hours, and slow payroll cycles all carry a cost that compounds across a project measured in months, not weeks.
Talk to SmartBarrel about time tracking for your next data center project – Schedule a Call.
Frequently Asked Questions
How long does it take to deploy time tracking hardware on an active data center site?
Deployment timelines vary by project size, but rollouts across multiple active data center jobsites have taken as little as three weeks, including setup across several projects at once. Hardware setup takes under five minutes per device, and worker onboarding takes under a minute since no pre-uploaded photos or app downloads are required.
How is overtime calculated when crews work staggered shifts on a data center project?
Overtime is calculated the same way regardless of shift pattern: based on verified hours worked against applicable state, federal, or union thresholds for that worker’s classification. Staggered shifts make this harder to track manually since hours can span standard cutoffs, but timestamped punches flag overtime automatically instead of requiring a manual recalculation at the end of the pay period.
How does time tracking handle workers who move between multiple data center sites in the same week?
Geofenced time tracking apps are designed for exactly this scenario, since a jobsite only becomes available to check into when a worker is physically present there. This prevents cross-site clock-in errors and keeps hours correctly attributed to the right project even when a worker splits their week across multiple builds.
