Data Engineer
Fast Switch · MI
—
Jul 12, 2026
MI
Jul 20, 2026
What this job asks for AI summary
A data engineering role centered on building and maintaining large-scale data infrastructure — including pipelines, data models, warehouses, lakes, and lakehouses — to handle both structured and unstructured data. The work also involves developing analytical tools, automating tasks, and optimizing platform performance. It suits an experienced data engineer comfortable working across Google Cloud Platform, BigQuery, and Python, with exposure to machine learning.
Senior level · 5+ years · National · Master's required
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 $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 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
No work location or city is specified in the posting; CBSA and state are left blank. The role is posted by FastTek Global, a Michigan-based IT staffing firm, but the client location is not disclosed.
The posting is from a staffing/consulting firm (FastTek Global) and does not specify whether the engagement is full-time direct hire or a contract placement; employment type is left as Unspecified.
Machine Learning appears in the 'Skills Required' section alongside core data engineering tools, making it a hard gate despite being an unusual must-have for a data engineering role. TensorFlow and Scikit-learn are listed under 'Skills Preferred' and are marked accordingly.
The role is classified as 15-1243 (Database Architects) given the strong emphasis on designing and building data pipelines, warehouses, lakes, and lakehouses. However, the ML/modeling requirements (TensorFlow, Scikit-learn, Machine Learning) create genuine ambiguity with 15-2051 (Data Scientists).
The title carries no seniority level word; 'Engineer 3' in the experience section is an internal grade, not a public-facing level label, so the title states no level. The 5+ years requirement and end-to-end design/build scope support a Senior classification.
A Master's Degree is listed under 'Education Required' with no 'or equivalent experience' qualifier, so it is treated as a hard requirement.
Read the full posting
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