Data Engineering
Hire senior dbt engineers
dbt is where data quality becomes code. Our analytics engineers build dbt projects the way senior teams expect: tested, documented, modular models with a semantic layer the business can actually trust.
Shortlist of around 3 senior profiles in under 5 business days
- Seniority floor
- 7+ years owning production systems
- Time zone
- Full overlap with US Eastern to Pacific
- Shortlist
- Around 3 curated profiles in under 5 business days
- Engagement model
- Embedded in your team, no resellers or middlemen
- Pricing
- All-inclusive rate, around 35% below the US onshore equivalent
How we vet
What senior dbt actually looks like
Project architecture: staging, intermediate and mart layers that scale past hundreds of models
Testing and documentation discipline: data tests, contracts, and lineage people actually read
Incremental models, snapshots, and idempotent reruns under production constraints
Semantic layer and metrics definitions that keep KPIs consistent across tools
dbt questions, answered
What does a senior analytics engineer build with dbt?
A tested, documented transformation layer: staging to marts, with data contracts and a semantic layer so every dashboard reports the same number for the same metric.
dbt Core or dbt Cloud: does it matter?
Both are common. Seniors choose based on team size and CI needs, and can migrate between them without rewriting the project.
Can they clean up an existing messy dbt project?
Yes. Refactoring tangled dbt projects into layered, tested models is one of the most common engagements we see.
Usually paired with dbt
Keep reading about hiring for dbt
Need senior dbt on your team?
Tell us the context. A curated shortlist of senior profiles in under five business days, working in your time zone.