Eaton, WIremote

Salary
$194,400–$270,000from the description
Posted
Jul 19, 2026
Location
Eaton, WI
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

A staff-level engineering role focused on building and maintaining the data infrastructure that underpins both analytics and AI/ML capabilities. The position sits within a small platform team responsible for centralizing data pipelines, tooling, and processes — spanning DataOps, MLOps, and infrastructure — while setting technical direction and mentoring other engineers. It suits an experienced data platform engineer comfortable operating production systems across the full data stack.

Staff level · 7+ years · Remote · Full-time

Must have (12)
PythonCI/CDKubernetesInfrastructure as CodeSnowflakedbtLookerAirflowKafkaMLOpsvector searchfeature engineering

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

Roughly 120 people nationally plausibly meet what this posting asks for (database architects). range 75–180

Applicant volume Light — Few people clear these requirements, so an application that does clear them gets looked at. Worth applying to even if you miss a nice-to-have.

What gives you an edge
feature engineering5%vector search6%MLOps8%Looker10%

Rare in this occupation — lead with these, and say what you built with them.

What won't set you apart
Python55%CI/CD45%Snowflake42%

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 (6)

The caller has overridden location to fully remote / national; no metro is inferred despite the posting listing hub cities (Austin TX, New York City NY, San Francisco CA, Arlington VA).

Compensation is quoted in two geographic tiers: $216,000–$270,000 for NYC and San Francisco, and $194,400–$243,000 for all other locations. The lower-tier floor and upper-tier ceiling are reported here to represent the full national range.

All skills are drawn from the single 'If you have some or all of the following, please apply' block. The posting explicitly invites candidates who have only 'some' of these, which creates genuine ambiguity about which are hard gates. However, the block is the only qualifications section and uses a 7+ years experience floor alongside specific named technologies, so all named tools are treated as required. Hiring managers should note the 'some or all' framing may indicate flexibility on individual tools.

SOC classification is Medium confidence: the role spans data platform architecture (15-1243), MLOps/AI infrastructure, and substantial software engineering (15-1252). The primary day-to-day emphasis on architecting and building data systems — pipelines, warehouses, serving layers — tips toward 15-1243, but the engineering depth and software-building scope make 15-1252 a strong runner-up.

The Staff title and cross-org scope (setting technical direction, establishing standards adopted by other teams, mentoring engineers across the organization) are consistent with a Staff-level individual contributor, not a people manager, so 11-3021 was not used.

Caller marked this a fully-remote role — scored against the national candidate pool.

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