Aurora, CO

Salary
$60–$70/hrfrom the description
Posted
Jul 22, 2026
Location
Aurora, CO
Last confirmed open
Jul 24, 2026

What this job asks for AI summary

A higher education institution is looking for a senior-level data engineer to design, build, and maintain enterprise data warehouses, lakehouses, and data integration pipelines handling structured and unstructured data. The role involves dimensional modeling, ETL/ELT development, migrating legacy systems to Azure, and supporting ongoing MSBI environments. It suits an experienced engineer comfortable across Python, SQL, Spark, and Azure Data Factory in an Agile setting. The position is a six-month contract with extension and conversion potential.

Senior level · 7+ years · Contract

Must have (13)
SQLPythonRSpark ScalaPySparkSparkSQLAzureMSBISQL ServerT-SQLSSASAzure Data FactoryAzure DevOps

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 gives you an edge
Azure Data Factory5%R6%PySpark8%Azure DevOps13%

Rare in this occupation — lead with these, and say what you built with them.

What won't set you apart
SQL90%SQL Server55%Python51%T-SQL40%

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). This posting is about at that midpoint.

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)

Location is not specified in the posting; no CBSA or state could be determined. The role is placed by Insight Global on behalf of a Higher Education client.

This is a 6-month contract with possibility of extension and/or conversion to permanent.

The degree requirement (Bachelor's in business, information systems, or related field) is explicitly substitutable with equivalent experience, so it is not treated as a hard gate.

The Skills and Requirements section uses 'experience with most or all of the following' for the technology list, which is a mild softener; however, the same technologies are also called out with firm language in the job description narrative ('strong experience with…', 'along with expertise in…'), so they are treated as hard gates.

The posting lists 'PySQL' in the Skills section — this appears to be a typo/variant for PySpark or SparkSQL, both of which are already captured separately; 'PySQL' is not emitted as a distinct skill.

SOC classification is Medium confidence: the role spans data architecture/modeling (15-1243) and substantial pipeline/ETL software development (15-1252); the emphasis on designing enterprise data warehouses, dimensional models, and data vault architectures tips it toward 15-1243.

Posting is for a contract engagement — the market benchmarks below price full-time roles, so read the comp comparison with that in mind.

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