Data Analytics Engineer
Parafin · San Francisco, CA
$180,000–$220,000from the description
Jul 15, 2026
San Francisco, CA
Jul 21, 2026
What this job asks for AI summary
This role centers on building and maintaining data pipelines, analytics models, and dashboards that support decision-making across business functions such as finance, risk, and operations. The work involves writing SQL to transform raw data into reliable metrics, using tools like dbt and BI platforms, and collaborating with cross-functional teams to surface actionable insights. It suits an early-career data professional with a solid SQL foundation and an interest in analytics engineering.
Mid level · 1+ years · Remote · 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 3,600 people nationally plausibly meet what this posting asks for (database architects). range 1,500–7,700
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 $142,568 (middle half $111,775–$173,013). 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 (7)
The role title is 'Data Analytics Engineer' — it sits at the intersection of analytics engineering (dbt, data modeling, pipelines) and BI/reporting (dashboards, self-service analytics). SOC 15-1243 (Database Architects) was chosen as the primary code because the core work is designing and building data models and pipelines; 15-2031 (Operations Research Analysts) is a plausible runner-up given the heavy BI and reporting emphasis.
dbt is listed under requirements with the softener 'or a desire to learn modern analytics engineering tools,' which signals the specific tool is flexible but the analytics engineering capability is a hard gate. Marked as required accordingly.
Python is listed as required with 'or another scripting language'; the alternatives field captures that intent, but the scripting capability itself is a hard gate.
The degree requirement lists several fields but explicitly accepts 'equivalent experience,' so no minimum degree is enforced.
Experience range of 1–3 years supports a Mid-level classification. The title carries no explicit seniority label, so advertised seniority is Unspecified.
Databricks, Snowflake, and BigQuery appear under the 'We Prefer If You Have' section and are treated as preferred. Git and Airflow/Dagster also appear there.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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