Bloomerangremote

Salary
$90,800–$151,400from the description
Posted
Jul 19, 2026
Location
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

A data engineering role focused on owning and migrating an enterprise data warehouse from Google BigQuery to Databricks, while establishing organization-wide standards for data modeling and governance. Day-to-day work involves designing ETL/ELT pipelines from sources such as MySQL, PostgreSQL, and Salesforce, building dimensional data models, and partnering with Finance, Sales, Marketing, and other internal teams to support analytics and business intelligence needs.

Mid level · 3+ years · Remote · Full-time

Must have (11)
SQLPythonDatabricksBigQuery, Snowflake or RedshiftMySQLPostgreSQLSalesforcedimensional modelingETL/ELTCI/CDGit
Nice to have (1)
GCP, AWS or Azure

“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 570 people nationally plausibly meet what this posting asks for (database architects). range 240–860

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

What gives you an edge
Salesforce6%

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

What won't set you apart
SQL90%dimensional modeling72%Python55%CI/CD45%Databricks42%BigQuery42%MySQL40%

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 role is titled 'Data Engineer' with no seniority modifier; the title states no level. The 3–5 year experience range and scope (leading a warehouse migration, setting org-wide standards) support a Mid-to-Senior read; the lower bound of the stated range (3 years) anchors this at Mid.

SOC is Medium-confidence: the role's primary work is designing and building an enterprise data warehouse (ETL pipelines, data modeling, warehouse architecture), which maps best to 15-1243 Database Architects. However, the heavy pipeline-coding emphasis (Python, CI/CD, ELT tooling) also fits 15-1252 Software Developers, listed as the runner-up.

Databricks is listed as 'preferred' in the requirements text ('Databricks experience preferred'), but the role's central deliverable is migrating the warehouse TO Databricks, making it a practical hard gate; marked required accordingly.

GCP is listed as 'preferably Google Cloud Platform' in the requirements section — the qualifier 'preferably' demotes it to preferred.

The posting notes the role is open to candidates in the U.S. and select Canadian Provinces; the US-based flag is set true as the primary work location is US-based/remote-US per the caller's instruction.

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

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