Customer Data Engineer at Gridsight
San Francisco, CA
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Jul 14, 2026
San Francisco, CA
Jul 21, 2026
What this job asks for AI summary
A customer-facing data engineering role at a grid analytics startup, focused on onboarding electric utility clients onto the platform. The work splits between leading technical implementation engagements — scoping data requirements, building transformation logic, and running pipelines — and contributing to internal tooling that makes future implementations more efficient. Suits an experienced data engineer comfortable working directly with external stakeholders.
Mid level · 4+ years · San Francisco-Oakland-Berkeley, CA · Full-time
“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 75 people in the San Francisco-Oakland-Berkeley, CA area plausibly meet what this posting asks for (database architects). range 45–110
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 $179,727 (middle half $166,748–$216,836).
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 a genuine hybrid between data/analytics engineering (pipeline building, ELT/ETL, schema mapping, dbt) and customer-facing technical consulting (~80% implementation delivery, ~20% product support). SOC 15-1243 (Database Architects) was chosen for its emphasis on data pipeline design and schema work; 15-1252 (Software Developers) is a credible alternative given the Python scripting, internal tooling, and AI-assisted development expectations.
The posting lists two US office locations — San Francisco and Austin — with a hybrid working model. San Francisco is listed first and is the likely primary metro, but Austin (CBSA 12420) is equally plausible; the posting does not specify which city is primary.
AWS, Databricks, Dagster, and Claude Code appear only in the 'Gridsight runs an AI-forward stack' narrative section describing the team's tooling, not in the formal Qualifications block. They are listed as preferred/context rather than hard gates.
dbt is explicitly named in the Qualifications section ('Experience with dbt or similar ELT/ETL frameworks'), making it a hard gate; the 'or similar' qualifier means the specific tool is interchangeable, but the ELT/ETL framework capability itself is required.
No compensation figures are disclosed. The posting references 'highly competitive salary, equity, and comprehensive benefits' only in qualitative terms.
The company was founded in Australia and has a global team; however, this specific role is US-based (San Francisco / Austin offices), so the US-based flag of true.
Read the full posting
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