DEPLOY · Birmingham, AL

Salary
$125,000–$180,000
Posted
Jun 28, 2026
Location
Birmingham, AL
Last confirmed open
Jul 20, 2026

What this job asks for AI summary

Senior level · National · Bachelor's required

Must have (6)
Azure Data Factory or BoomiSQLAzure SQLPower BIPythonMachine Learning
Nice to have (3)
Microsoft FabricAzure AIagentic AI

“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 gives you an edge
Azure Data Factory5%Azure SQL5%Power BI10%Machine Learning12%

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

What won't set you apart
SQL90%Python51%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $104,620 (middle half $79,610–$135,460).

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 stated anywhere in the posting — CBSA and state are left blank. The role may be remote or on-site at an undisclosed client site; remote=false is a conservative default given no explicit remote claim.

The role spans data engineering, BI/analytics, and AI/ML roughly equally. 15-1243 (Database Architects) was chosen as the primary code because designing and building the enterprise data platform (pipelines, data models, Lakehouse/Warehouse architecture) is the most structurally central responsibility; 15-2051 (Data Scientists) is the close runner-up given the explicit AI/ML prototyping and deployment duties.

The degree requirement states 'Bachelor's degree (or higher)' — Bachelor's is the hard floor; equivalent experience is not offered as a substitute.

Azure Data Factory and Boomi are listed together as interchangeable integration tools ('Azure Data Factory, Boomi, or similar') — captured as one skill with Boomi as an alternative.

Machine Learning is listed as a required skill ('Practical experience applying AI and Machine Learning') but names no specific framework (e.g. scikit-learn, PyTorch); it is retained as a named capability gate rather than a generic concept because the JD explicitly calls it out as a hard requirement.

Microsoft Fabric, agentic AI, and Azure AI appear only under the 'Bonus Points' section and are marked preferred accordingly.

No compensation, employment type, or experience-year floor is stated in the posting.

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