Data Engineer
Kimley-Horn · Raleigh, NC
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Jul 5, 2026
Raleigh, NC
Jul 21, 2026
What this job asks for AI summary
A data engineering role focused on building and maintaining ETL/ELT pipelines, SQL-based database objects, and data integrations to support enterprise reporting and analytics. Day-to-day work involves Azure Data Factory, SQL Server, Python, and Power BI datasets, with collaboration alongside business stakeholders and BI developers. The position suits someone with at least three years of data engineering experience who is open to contributing to evolving cloud architecture involving platforms such as Databricks and Snowflake.
Mid level · 3+ years · National · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 3 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
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $106,921 (middle half $81,361–$138,439).
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 (7)
The job title is a bare 'Data Engineer' with no seniority level in the title; advertised seniority is therefore Unspecified.
The role is classified as 15-1243 (Database Architects) given its primary focus on designing and building ETL/ELT pipelines, data architecture, and enterprise data models. However, the heavy Python and general software development emphasis makes 15-1252 (Software Developers) a plausible runner-up.
Location is not stated in the posting beyond 'in-office'; no city or state could be determined. The company (Kimley-Horn) is a US-based firm, so the US-based flag of true is assumed.
A Bachelor's degree is listed as a requirement but explicitly allows 'or equivalent experience,' so the degree requirement is set to None.
SSIS appears in the Responsibilities section as part of the pipeline toolset but is not listed under Qualifications; it is captured as a preferred skill. Azure Data Factory is the primary required integration tool, with SSIS and similar tools listed as alternatives in the qualifications.
AI-assisted development tools (GitHub Copilot, Microsoft Copilot, ChatGPT, Codex) are listed under required qualifications but framed as 'experience or familiarity with,' indicating a soft gate; they are grouped as a single preferred skill with alternatives.
No compensation figures are provided in the posting.
Read the full posting
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