No long-term contracts. No surprise invoices. Just senior data expertise when you need it.
At some point, every growing company faces the same question: do we hire a full-time data engineer, or find another way?
The answer depends on your stage. A full-time hire makes sense when you have constant, daily data work — complex pipelines to maintain, a data team to support, mature systems requiring dedicated attention. Most companies aren't there yet. They need someone to build the foundation, connect systems, and create the analytics layer, then maintain and improve it over time. That's project-based work with ongoing optimization, not 40 hours a week of data engineering.
A junior won't cut it. Connecting business systems and building reliable automated reporting requires mid-to-senior experience at minimum. Here's what that actually costs:
Screening
How do you evaluate candidates when you don't know what good looks like?
Training & Direction
Who teaches them your systems? Who reviews their work and catches mistakes?
Retention
A solo data engineer with no team or growth path will leave within 12–18 months.
Continuity Risk
When they leave, their knowledge walks out the door. You start over from scratch.
Performance Visibility
If work is slow or poor quality, how would you know? Without technical oversight, it's hard to tell if they're performing or just staying busy.
Instead of negotiating project-by-project or committing to a full-time salary, fractional support gives you predictable monthly access to senior expertise.
Flat monthly fee. No surprise invoices, no scope creep conversations. Spreads cost over time instead of large project spikes.
We look for ways to improve your business, not wait to be approached with projects. Continuous improvement is built in.
Maintenance, improvements, new builds, troubleshooting. One relationship handles all your data needs.
Month-to-month. Either party can end with 30 days notice. No long-term lock-in.
Regular communication with typically same-day or next business day responses. You're not waiting in a queue.
Larger initiatives outside normal support get scoped separately. No ambiguity about what's included.
Fractional data engineering gives you consistent access to senior expertise — someone who can build your systems and keep them running and improving. No recruiting, no management overhead, no surprises.
If a full-time hire made sense for your stage, you'd hear that from us. As your data maturity grows, we can revisit whether in-house makes sense. Until then, fractional support is often the smarter path forward.
Book a free call to discuss your data challenges and see if fractional support is the right fit.
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