Durham, NC

Salary
—
Posted
Aug 17, 2026
Location
Durham, NC
Last confirmed open
Sep 24, 2026

What this job asks for AI summary

A hands-on Data Engineer role at a bioanalytical CRO, responsible for designing and operating an enterprise-scale cloud data platform built on Snowflake and dbt. The position involves building production ELT pipelines, dimensional and semantic data models, and governed data products that serve laboratory operations, sponsor reporting, regulatory compliance (GxP, 21 CFR Part 11, HIPAA), and AI initiatives. Suited to an experienced data engineer with a regulated-industry background.

Senior level · 5+ years · Bachelor's required · Full-time

Quick apply — this platform usually takes a CV and a few fields.

Must have (10)
Snowflake · 3+ yrsdbtSQLPythonFivetran or TalendREST APIs or GraphQLAWS or AzureGitGitHub ActionsCI/CD
Nice to have (3)
Power BI, Sigma or TableauSnowparkChange Data Capture

“or” means any one of them counts — you don't need all of them.

Posted 2 times — it's one opening, so apply once.

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

What won't set you apart
SQL90%Python55%CI/CD45%Snowflake42%GitHub Actions40%

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 Aug 18, 2026. It is a model, not a headcount.

Why we read it this way (7)

The SOC classification is a close call: the role centers on designing and building enterprise data pipelines, dimensional models, and governed data products (15-1243 Database Architects), but the volume of Python/software engineering and CI/CD work also makes 15-1252 Software Developers a credible fit.

The posting lists skills across two separate 'Minimum Preferred Qualifications' sections (Education/Experience and Skills) without clearly distinguishing 'required' from 'preferred' in the skills block — the entire skills section is framed as 'Minimum Preferred Qualifications,' an ambiguous label. Skills were marked as required when they appeared with firm language ('strong,' 'expert proficiency,' 'demonstrated expertise') or were clearly central to the role's core responsibilities; tools mentioned more incidentally (Snowpark, CDC, BI platforms) were marked preferred.

Fivetran and Talend are listed as interchangeable ETL/ELT platform examples; they are captured as a single requirement with alternatives.

AWS (S3, Lambda, ECS, Glue) and Azure are listed as interchangeable cloud platform options; captured as a single requirement with Azure as the alternative.

Power BI, Sigma, and Tableau are listed together as BI/semantic reporting platforms under the skills section; captured as a single preferred skill with alternatives.

A Master's degree is listed as preferred, not required; the hard minimum is a Bachelor's degree.

Experience with LIMS and regulated laboratory environments is noted as 'strongly preferred' in the posting — not a hard gate.

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