Data Engineer – Microsoft D365 F&O
duvari group · Saint Louis, MO
$130,000
Jul 21, 2026
Saint Louis, MO
Jul 23, 2026
What this job asks for AI summary
This role centers on designing and maintaining data pipelines that consolidate data from multiple ERP systems into Microsoft Dynamics 365 Finance & Operations, supporting reporting, analytics, and business intelligence within a manufacturing organization. Day-to-day work involves building ETL/ELT processes on Azure data services, improving data quality and pipeline performance, and collaborating with business and technical stakeholders to deliver scalable solutions. It suits a data engineer with hands-on Azure and ERP integration experience.
Mid level · 2+ years
“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
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)
Remote status is not stated; defaulted to false (on-site/unspecified).
The experience range of '2–5+ years' is ambiguous — the lower bound (2 years) was used for the overall years minimum, which places this at the Mid band. The '+' qualifier on 5 years could suggest a Senior ceiling, but the overall scope and requirements are consistent with a Mid-level role.
SOC classification is Medium confidence: the role is primarily ETL/pipeline engineering and data architecture (15-1243), but the emphasis on writing Python/SQL code and building integrations also has affinity with Software Developers (15-1252).
Microsoft Fabric is listed alongside 'or Synapse migration experience' in the required section — both are captured; Synapse Analytics is already a separate required skill.
SAP and Infor appear together as interchangeable ERP migration examples under Preferred qualifications and are combined into one preferred skill with Infor as an alternative.
AI/machine learning exposure is mentioned as a plus but names no specific technology, so it was omitted per the no-generic-concepts rule.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): D365 Finance & Operations.
Read the full posting
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