Data Engineer at Sigma Computing
San Francisco, CA
$140,000–$180,000from the description
Jul 22, 2026
San Francisco, CA
Jul 23, 2026
What this job asks for AI summary
A data engineering role focused on designing and maintaining production data pipelines across Snowflake and Databricks, using tools such as Fivetran, dbt, Dagster, and Terraform. The work spans ETL pipeline development, infrastructure scaling, data governance, and building demo data assets for multiple cloud warehouses. It suits an experienced data engineer comfortable working across product, analytics, and infrastructure teams in a fast-moving environment.
Mid level · 3+ years · San Francisco-Oakland-Berkeley, 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 170 people in the San Francisco-Oakland-Berkeley, CA area plausibly meet what this posting asks for (database architects). range 75–260
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). 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, Data Platform' with no seniority modifier; the title states no level. The 3+ years minimum and scope (greenfield pipelines, governance frameworks, cross-functional collaboration) support a Mid-level classification.
SOC is a close call between 15-1243 (Database/Data Architects — pipeline and warehouse architecture focus) and 15-1252 (Software Developers — building and shipping data pipelines as code). The role's emphasis on architecting data models, governance frameworks, and cloud data warehouse design tips it toward 15-1243, but the heavy pipeline-building and Terraform/orchestration coding work is a genuine signal for 15-1252.
Snowflake and Databricks appear together as the primary cloud data platforms in the required qualifications ('e.g., Snowflake, Databricks'); Snowflake is the primary named platform throughout the posting. They are listed as alternatives since the JD treats them interchangeably as target platforms.
The full tech stack (Fivetran, Dagster, dlt, Terraform, dbt, Sigma, Hightouch, Metaplane) is listed under 'Tech we use' in a narrative/context section, not under a requirements heading, so those tools are marked preferred. dbt, Python, Dagster/Airflow/Astronomer, and AWS/GCP appear again under 'Qualifications We Want' (explicitly the preferred/nice-to-have section), confirming their preferred status.
Startup experience is listed as a required qualification but names no specific technology or tool, so it is omitted from the skills list per extraction rules.
Location is not explicitly stated in the posting; Sigma Computing is headquartered in San Francisco, CA, and the posting does not indicate remote eligibility, so the CBSA defaults to San Francisco-Oakland-Berkeley, CA and remote is set to false.
Read the full posting
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