Senior Data Engineer (Remote) at TPX Communications
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Jul 26, 2026
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Jul 28, 2026
What this job asks for AI summary
A fully remote Senior Data Engineer role on an Enterprise Data and Analytics team, supporting cross-functional stakeholders across Operations, Finance, Sales, HR, and Marketing. The position centers on designing and maintaining scalable data warehouses and data lakes, building ETL pipelines, computing analytics (including predictive modeling), and delivering dashboards and reports. It suits an experienced data engineer comfortable spanning data architecture, modeling, statistical analysis, and visualization.
Senior level · 10+ years · Remote · Full-time
“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
Roughly 1,150 people nationally plausibly meet what this posting asks for (database architects). range 690–2,500
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
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).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 29, 2026. It is a model, not a headcount.
Why we read it this way (6)
The database technology requirement lists MS SQL Server, Oracle, MS Fabric, and Snowflake together with 10+ years — the posting implies experience across these platforms collectively, not necessarily 10 years in each individually. All four are captured as required skills with alternatives pointing to each other to reflect this 'such as' framing.
Similarly, the 5+ years of data visualization experience lists Power BI, Tableau, and OBIEE as examples ('or equivalent'). All three are captured as required skills with alternatives pointing to each other.
Python is called out explicitly as an example library for statistical methods within the Required Qualifications section and is treated as a hard gate.
No location is specified beyond the '#LI-Remote' tag; the role is classified as fully remote with no CBSA assigned.
No compensation range is stated in the posting.
The SOC classification is Medium confidence: the role spans data warehouse/pipeline architecture (15-1243) and analytics/BI reporting (15-2031); the emphasis on designing scalable warehouses and data models tips the classification toward 15-1243.
Read the full posting
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