We place Data engineers across the United States as roles open with our clients. Submitting your profile adds you to our talent network for current and upcoming consideration.
We routinely place data engineers, analytics engineers, and data-platform engineers with our partner vendors' clients across the US — major tech metros and remote-eligible markets. Roles span warehouse / lakehouse build-outs, streaming pipelines, dbt-native analytics engineering, and data-platform infra. We work with engineers from junior through principal, on W-2, 1099, and C2C engagement models. Submit your profile here to be considered for current and upcoming roles. We don't post phantom jobs — we post when we have something real, and we keep your profile in our active bench between engagements.
What we typically place
What we look for
Common interview themes
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Read The Edition →Current market signal
Analytics-engineering reqs (dbt + warehouse) are saturated — many candidates list dbt experience but few have shipped a contract-tested production transformation layer. Pure data-engineering reqs (streaming, orchestration, platform) are harder to fill at the senior level. Hot 2026 area: data engineers who can also handle ML feature pipelines as the analytics + ML divide flattens. Pay rates have stabilized after 2024's contraction.
Typical engagement
Data and analytics roles are usually W-2 contract or contract-to-hire because client orgs want continuity for warehouse ownership. C2C is common at principal/staff. ABC-test states (CA, NJ, MA, IL) are W-2 only.
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