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Staff Data Engineers at high-growth companies earn $190K–$231K. Median: $207K. Based on 69 public job postings (2025–2026).
Median: $207K · Based on 69 public job postings · Updated July 1, 2026
San Francisco
Remote
Based on companies with 3+ active postings. Median of publicly advertised salary range.
Typical experience required: 8–10 years.
Staff Data Engineers are data professionals who build the pipelines, models, and analytics the business runs on. This benchmark reflects Staff-level base compensation at high-growth and AI-native companies.
What is the average Staff Data Engineer salary at an AI startup?
The median pay is $207K, with a typical range of $190K–$231K, based on 69 public job postings collected in 2025–2026.
How does Staff Data Engineer pay compare in San Francisco vs. remote?
San Francisco roles pay a median of $210K, while fully-remote roles pay $200K.
Where does this salary data come from?
It is aggregated from public job postings on company career pages — no private placement or client data. We require a minimum of 15 postings per role.
Figures are the midpoint of each posting's advertised USD salary range, aggregated from 69 public job postings (2025–2026). The range shown is the 25th–75th percentile; the median is the 50th percentile. Equity is separate and not included; where a posting's range reflects on-target earnings (OTE) for commission roles, that is included in the midpoint. Roles require at least 15 postings to be published. Last refreshed July 1, 2026.
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