Azure Data Engineer at CSpring
Indianapolis, IN
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Jul 21, 2026
Indianapolis, IN
Jul 23, 2026
What this job asks for AI summary
A data engineering role focused on designing and building cloud-based data solutions on the Microsoft Azure stack for government and healthcare clients. Day-to-day work covers constructing and orchestrating data pipelines, writing transformation logic, designing data models, and implementing data quality and monitoring practices. Suits engineers with solid Azure hands-on experience who are comfortable engaging directly with client stakeholders to translate business needs into technical deliverables.
Mid level · 3+ years
“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
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 (9)
No work location or metro is specified in the posting; CBSA left blank. The role appears to be at a consulting firm (CSpring) with client-site engagements across government and healthcare, but no city or state is mentioned.
The posting requires 3 years of data engineering experience overall, with 2 years specifically on Azure. The 2-year Azure figure is captured as the years demanded on the Azure skill; the 3-year overall figure drives the overall years minimum.
Azure Synapse Analytics, Databricks, and Azure SQL are listed as a 'working experience with at least one of' group — Azure Synapse Analytics is the primary skill with Databricks and Azure SQL as alternatives.
Python and PySpark are listed together as a single requirement; PySpark is captured as an alternative to Python.
The SOC classification is Medium confidence: the role is primarily data pipeline and warehouse engineering (15-1243 Database Architects), but the volume of application-style coding (Python/PySpark, CI/CD, Git) makes 15-1252 Software Developers a plausible runner-up.
Bachelor's degree is listed as 'or equivalent hands-on experience,' so no formal degree is hard-required.
Power BI and Microsoft Purview appear under the 'Preferred Qualifications' section.
No compensation range is stated in the posting.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): Azure Data Lake Storage Gen2.
Read the full posting
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