Senior Data Analytics Engineer - Data Insights at Jobgether
—
Jul 15, 2026
—
Jul 21, 2026
What this job asks for AI summary
A senior-level analytics engineering role focused on building and maintaining a company-wide data foundation — including data models, metrics layers, and KPI frameworks — using Snowflake and dbt. The work spans designing scalable data transformations, improving data quality, and enabling self-service analytics across technical and non-technical teams. Best suited to someone with deep SQL and dbt experience who can independently lead complex data projects end to end.
Senior level · 5+ 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 1,850 people nationally plausibly meet what this posting asks for (database architects). range 780–2,800
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 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
The SOC classification is a judgement call: the role sits at the intersection of data engineering and analytics engineering (building dbt/Snowflake pipelines, semantic/metrics layers, data models). 15-1243 Database Architects was chosen as the primary code because the core deliverable is designing and building scalable data models and warehouse architecture; 15-2031 Operations Research Analysts is the runner-up given the strong BI/reporting/insights framing.
Snowflake is named explicitly in the accountabilities section rather than the requirements section, but it is the only warehouse platform called out and is central to the described day-to-day work; treated as a hard gate given the role's clear dependency on it.
'BI tools and analytics solutions' is listed under Requirements but no specific product is named; emitted as a generic 'BI tools' skill to preserve the gate without inventing a tool name.
'Knowledge of machine learning analytics engineering or marketing analytics is a plus' — explicitly flagged as a plus/nice-to-have. 'AI tools' appears in the accountabilities narrative as a workflow enhancer, not a stated requirement.
No compensation figures are provided in the posting.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.