Data Engineer, gUP Engineering at Google
Boulder, CO
$106,000–$151,000from the description
Jul 22, 2026
Boulder, CO
Jul 23, 2026
What this job asks for AI summary
An early-career data engineering role focused on building and maintaining data pipelines, ETL systems, and data warehouses in support of Google's Ads products and internal tooling. Day-to-day work involves designing data models, integrating machine learning outputs into production pipelines, and collaborating with data scientists and cross-functional teams. Suits candidates with some hands-on pipeline and coding experience who are comfortable working across structured and unstructured data at scale.
Mid level · 1+ years · Boulder, CO · Full-time
“or” means any one of them counts — you don't need all of them.
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 15 people in the Boulder, CO area plausibly meet what this posting asks for (database architects). range 10–30
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 $142,220 (middle half $117,703–$193,044). 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 (8)
The role sits between data/pipeline engineering (15-1243) and software development (15-1252); the responsibilities include building full-stack software applications and productionizing ML models, but the core minimum qualifications center on data pipeline design and dimensional data modeling, so 15-1243 is the primary classification with 15-1252 as a close runner-up.
Google frames this as an 'Early Experience' level role requiring only 1 year of experience, placing it solidly at Mid despite the absence of a level word in the title.
The Bachelor's degree requirement is waived by 'or equivalent practical experience', so the degree requirement is set to None.
Flume is listed as an example internal stack tool in the minimum qualifications alongside Dataflow and Spark as external alternatives; all three are captured under one skill with alternatives per the interchangeable-options rule.
Compensation is stated as $106,000–$151,000/year plus a 15% bonus target and equity; the bonus and equity are not reflected in the comp range fields.
Preferred qualifications include a Master's degree in Engineering, Computer Science, or a related field — this is preferred only, not a hard gate.
Skills such as ETL, Spark, Dataflow, NoSQL, Linux, data warehouse design, and machine learning appear exclusively under Preferred qualifications or in the responsibilities narrative and are marked accordingly.
Ignored 3 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): data pipeline design, dimensional data modeling, data warehouse design.
Read the full posting
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