Principal Data Automation Engineer/ Data Scientist, Supply Chain
Oracle · Nashville, TN
$114,600–$234,600from the description
Jul 17, 2026
Nashville, TN
Jul 21, 2026
What this job asks for AI summary
A senior individual contributor role focused on building data pipelines, machine learning models, and automation frameworks to support global supply chain operations at Oracle Cloud Infrastructure. Day-to-day work spans designing ETL/ELT architectures, developing forecasting and inventory optimization models, and creating operational dashboards and alerting systems. Suits an experienced data or ML engineer with a background in supply chain or related operational domains.
Senior level · 7+ years · National · Full-time
Advertised as Principal, but the requirements read as Senior.
“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
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $142,568 (middle half $111,775–$173,013). 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 (8)
The role title is 'Principal Data Automation Engineer' and is internally leveled IC4, but the requirements (7–10+ years, senior IC scope, no org-wide authority) are consistent with a Senior-level role on a standard career ladder. 'Principal' here reflects Oracle's internal titling convention rather than a true top-of-ladder principal scope.
No work location is specified in the posting beyond 'US'; the CBSA and state fields are left blank accordingly. The compensation range is stated as US-wide.
The role sits at the intersection of data engineering (pipeline/warehouse building) and data science (ML/forecasting models). It was classified as 15-1243 (Database Architects) because the primary day-to-day emphasis is on designing scalable data pipelines, architectures, and data products; 15-2051 (Data Scientists) is the close runner-up given the ML/predictive analytics responsibilities.
Oracle Analytics Cloud is listed as the first-named BI/visualization tool in the Required Qualifications section alongside Tableau and Power BI; all three are treated as interchangeable alternatives for that requirement.
Oracle Fusion Cloud Applications (SCM, Procurement, Planning, ERP) is explicitly marked 'preferred' in the posting and is therefore not a hard gate.
Experience with distributed systems architectures is described as 'a plus' in the posting and is therefore not a hard gate.
Supply chain domain experience (supply chain, manufacturing, logistics, procurement) is also noted as 'preferred' in the posting; it is not captured as a named technology skill.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): Oracle Fusion Cloud Applications.
Read the full posting
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