Alchemy is hiring a Data Analytics Engineer in Engineering — San Francisco. The overview below is synthesized from the employer posting on jobs.ashbyhq.com: factual requirements and scope are preserved, but prose is rewritten with editorial context. Verify details and apply via the employer link.
The Role
Day-to-day scope for the Data Analytics Engineer as described in the posting:
This role sits at the frontier of how AI consumes and acts on internal company data. You'll be the data layer for the entire company — a strategic partner to Finance, Marketing, Sales, Product, and Data Science — designing the clean, trusted datasets that power our AI tooling and ensuring every team can make decisions from a single source of truth.
What You'll Do
Day-to-day scope for the Data Analytics Engineer as described in the posting:
- Build and own the canonical data models in Snowflake that serve as Alchemy's company-wide source of truth — clean, queryable, and AI-ready
- Structure datasets so vendor AI tools perform optimally out of the box, with consistent schemas, rich semantics, and well-indexed access patterns
- Explore and prototype MCP integrations that let internal teams query data conversationally
- Eliminate shadow tables and one-off datasets by proactively serving team data needs at the platform level, freeing data science to move faster
- Own the transformation layer (dbt), with rigorous testing and validation so every downstream consumer — human or AI — can trust what they're working with
What We're Looking For
- 6+ years in data engineering with strong SQL and deep Snowflake expertise
- Experience designing efficient, scalable analytical data models
- Proficiency with dbt or comparable transformation frameworks
- Strong data quality instincts and a track record of building infrastructure that unblocks teams
- Good judgment — you scope well, prioritize ruthlessly, and communicate tradeoffs
- Experience in startups, a plus
Benefits & Perks
🏥 Medical, Dental, & Vision
💪 Gym Reimbursement
🖥️ Home Office Build-out Budget
🥙 In-Office Group Meals
🚅 Commuter Benefits
🌴 Flexible Time Off
🧘♂️ Wellbeing & Mental Health Perks
🧠 Learning & Development Stipend
🌎 Company Sponsored Conferences & Events
💸 HSA and FSA Plans
🧬 Fertility Benefits
More on The Role
Alchemy is committed to offering competitive compensation, including base salary as well as equity. Additionally, Alchemy offers comprehensive medical, dental, and vision coverage, as well as other benefits such as 401k and unlimited flexible time off.
The base salary range for this position is estimated to be between $200,000 - $240,000 annually. Please note this range reflects base salary only, and does not include bonus, equity, or benefits.
Build a standout application
For the Data Analytics Engineer at Alchemy, reviewers look for concise evidence over buzzwords. Mirror the language of the posting sparingly, quantify support or delivery outcomes, and show how you handled ambiguity, time-zone collaboration and user empathy. Keep your resume to impact, keep your cover note to one page, and link to artifacts — tickets resolved, docs shipped, dashboards owned — that prove you can operate in a fast-moving Web3 team. Prepare to discuss a time you turned a confusing user report into a clear fix and how you measure quality in support and operations.
Web3 hiring values reliability: on-time follow-through, clear writing, and a track record of improving runbooks and tooling. Treat the application as a work sample. For interviews, be ready to walk through how you prioritize across time zones, handle a difficult user, and decide when to escalate versus resolve directly. Show how you document decisions so the next teammate benefits.
In a distributed Web3 org, trust builds through written clarity. Use the cover note to demonstrate it.