remote

Salary
$151,000–$189,000from the description
Posted
Jul 16, 2026
Location
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

A senior-level data engineering role focused on designing, building, and maintaining production-grade data pipelines and analytical models using Python, Spark, and Databricks. The work spans ETL development, data infrastructure reliability, and cross-functional collaboration with analysts and business stakeholders. Suited to an experienced engineer comfortable with both technical ownership and mentoring peers in a fully remote setting.

Senior level · 5+ years · Remote · Full-time

Must have (5)
Python · 5+ yrsApache SparkDatabricks · 2+ yrsETLdata modeling

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 4,600 people nationally plausibly meet what this posting asks for (database architects). range 2,750–6,900

Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.

What won't set you apart
data modeling72%ETL62%Python55%Databricks42%

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)

SOC classification is a close call: the role centers on building and maintaining data pipelines, ETL workflows, and analytical data models (pointing to 15-1243 Database Architects / Data Engineers), but the heavy Python and Spark coding emphasis also fits 15-1252 Software Developers. 15-1243 was chosen as the primary because pipeline design, data modeling, and data infrastructure ownership are the stated core accountabilities.

No specific cloud platform (e.g. AWS, Azure, GCP) is named in the requirements; Databricks is the only platform explicitly required.

No degree requirement is stated anywhere in the posting.

The 5+ years figure is the role-level experience gate ('5+ years of experience in data engineering'); the matching 5+ years of Python is a per-skill gate — both are captured accordingly.

The posting is placed via Jobgether on behalf of an unnamed partner company; the actual employer is not disclosed.

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

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