Data & MLOps · USA
Data & MLOps staffing in
USA.
The U.S. is the largest and most competitive talent market we serve — and the one where the specialist shortage bites hardest. We place across the country, on-site and remote. Data and MLOps is the real bottleneck behind every AI initiative. Only about a quarter of enterprises have AI in production; the rest are blocked not by models but by the pipelines, platforms, and operational discipline to run them. We place the engineers who build that foundation.
Data & MLOps in USA
The market, and how we staff it.
Data and MLOps is the real bottleneck behind every AI initiative. Only about a quarter of enterprises have AI in production; the rest are blocked not by models but by the pipelines, platforms, and operational discipline to run them. We place the engineers who build that foundation.
Typical bill rate
$110–165/hr
Directional range; we scope the exact rate to the USA market and seniority.
~23%
Of enterprises have AI in production
Hardest
IT skill to hire in 2026
25–26%
BLS role growth through 2034
$110–165/hr
Bill rates
Roles in demand
Data & MLOps roles we place in USA.
Data Engineer
Builds and operates the pipelines that move and shape data at scale.
Analytics Engineer
Models data (dbt) into trusted, queryable products.
MLOps / Platform Engineer
The ML platform, serving, and CI/CD for models.
Streaming Engineer
Real-time pipelines on Kafka and friends.
Data Architect
Lakehouse, warehouse, and governance design.
Hiring in USA
Local talent, cross-border reach.
We handle U.S. work authorization — citizens, green-card holders, and visa holders (incl. H-1B) — and vet it up front so there are no surprises at offer.
Work authorization, handled
We handle U.S. work authorization — citizens, green-card holders, and visa holders (incl. H-1B) — and vet it up front so there are no surprises at offer.
Cross-border delivery
Blend USA talent with our US, Canada, and India hubs for follow-the-sun coverage and flexible cost — one accountable team across time zones.
Questions
Data & MLOps hiring in USA, answered.
Data engineers or data scientists?
Data and platform engineers — the production layer. We place applied data scientists too, but the scarcity is in engineering.
Do you match to our stack?
Yes — we submit to your specific warehouse, orchestration, and cloud so candidates are productive immediately.
Can you stand up our whole data platform?
Yes — via Delivery Teams we can build and operate the platform, not just staff seats.
Hire Data & MLOps talent in USA
Tell us the role.
We'll come back with vetted Data & MLOps talent and straight, market-grounded rate guidance for USA.
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