Senior Data Engineer at Correlation One
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Jun 29, 2026
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Jul 21, 2026
What this job asks for AI summary
A hands-on data engineering role focused on building and maintaining production-grade ELT pipelines, integrating data from external APIs, and modeling data for analytics use cases. The work involves Python, SQL, Airflow, dbt, and cloud infrastructure (primarily GCP), with responsibility for pipeline reliability, monitoring, and incident response. Suited to engineers with 4+ years of experience who are comfortable owning production systems and collaborating closely with analytics teams.
Senior level · 4+ years · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 1,850 people nationally plausibly meet what this posting asks for (database architects). range 1,100–2,800
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $142,568 (middle half $111,775–$173,013).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (9)
The role is explicitly located in Latin America (LatAm), compatible with EST. Per caller instruction, it is treated as fully remote with no metro inferred; the US-based flag is set to false because the primary work location is outside the United States.
SOC classification is a genuine judgment call: the role centers on building and operating ELT pipelines, data warehouses, and data modeling (pointing to 15-1243 Database Architects), but also involves substantial Python development and platform engineering (pointing to 15-1252 Software Developers). 15-1243 was chosen as the primary code given the emphasis on data pipelines, warehousing, and analytics-ready data systems.
dbt is listed under 'Familiarity with dbt or similar transformation tools' in the main requirements block alongside Airflow; despite the softening qualifier 'familiarity with', both appear as hard requirements in the qualifications section and are marked required. The qualifier signals the specific tool is interchangeable, not that the capability is optional.
GCP is listed as 'cloud environment such as GCP (or equivalent)' — the capability is required; GCP is the named example with Azure and AWS as common equivalents.
CI/CD and GitHub appear together in the requirements block under 'Familiarity with CI/CD practices and source control (e.g., GitHub)'; despite 'familiarity with', this sits in the core qualifications section and is treated as a hard gate on the capability.
Terraform, data quality tooling, and BI tools all appear under the explicit 'Additional preferred experience' section and are marked preferred.
No compensation figures are provided; the posting notes pay is location-specific but gives no range.
Caller marked this a fully-remote role — scored against the national candidate pool.
This role's work location reads as outside the US — the candidate pool, comp, and contention benchmarks here are US-only (BLS employment, Adzuna/USAJOBS demand, and certified H-1B wages), so treat them as a rough US reference, not a local market.
Read the full posting
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