Harvey
Senior Analytics Engineer, Product
$156K–$234K
San Francisco +1 · Hybrid · Senior · Full-time · Posted Aug 4, 2026
- Location
- San Francisco
New York - Experience
- 5+ years in Analytics Engineering, Data Engineering, Data Science, or a similar field.
About the job
Architects product event data models, pipelines, and analytics assets that help teams make reliable, self-serve decisions.
What you'll do
- Build scalable dbt data models and pipelines, and define a semantic layer for consistent metrics and self-serve analytics.
- Partner with Product, GTM, Finance, and leadership to deliver dashboards and analytical tools.
- Own product event tracking strategy and establish data modeling, documentation, governance, and quality standards.
What they ask for
- Deep expertise in SQL, dbt, Python, and Snowflake.
- Experience with modern BI tools such as Looker or Omni, or similar.
- Experience modeling high-volume, semi-structured product event data.
- Familiarity with version control (GitHub), CI/CD, and modern development workflows.
Nice to have
- Experience with product analytics tools (Mixpanel, Segment, Amplitude).
- Experience or knowledge of AI and LLMs; data engineering experience.
Pay
$155,800 - $233,600 USD (base salary)
Tools
SQL, dbt, Python, Snowflake, Looker, Omni, GitHub, Mixpanel
AI focus
AI and LLM knowledge is a bonus; no specific AI work is described.
Model-written summary · the original posting is authoritative