Data Engineer, Data Architecture and Engineering, gData
Google · Boulder, CO
$130,000–$188,000from the description
Jun 30, 2026
Boulder, CO
Jul 21, 2026
What this job asks for AI summary
This role sits within an internal data engineering team responsible for maintaining a single source of truth for Google's Ads operations data. Day-to-day work centers on building and maintaining scalable data pipelines and ETL/ELT systems, modernizing data infrastructure, and collaborating with data scientists and analysts to move analytical models into production. It suits engineers with hands-on experience in large-scale distributed data processing and pipeline development.
Mid level · 3+ years · Sunnyvale, CA · 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 130 people in the Sunnyvale, CA area plausibly meet what this posting asks for (database architects). range 95–200
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 $202,313 (middle half $144,101–$222,457). 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 is posted across three locations (Sunnyvale CA, Boulder CO, New York NY); Sunnyvale is listed first and used as the primary CBSA. Boulder (CBSA 14500) and New York (CBSA 35620) are also valid work sites.
Google explicitly labels this a 'Mid' level role in the posting header, which aligns with the 3-year minimum experience requirement.
The degree requirement accepts 'equivalent practical experience' as a substitute for a Bachelor's degree, so no formal degree is hard-gated.
The data-processing experience requirement names Hadoop/Spark/Pig/Hive as examples ('e.g.') — these are interchangeable; Hadoop is used as the primary with the others as alternatives.
The programming language requirement names Java, C++, Python, Go, or JavaScript as alternatives — Python is used as the primary given its prominence in the responsibilities section.
ETL authoring, NoSQL familiarity, data warehouse design, and AI/ML proficiency all appear under the 'Preferred qualifications' section.
Compensation is stated as $130,000–$188,000/year plus a 15% bonus target and equity; only the base salary range is captured in the comp fields.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): data warehouse design.
Read the full posting
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