A16zcrypto
Data Analytics Engineer
San Francisco
Sponsorship not specified$200k-$240kDetected 111 days ago
SQLSnowflakeRESTdbtData AnalysisData EngineeringData Science
About the role
- This role sits at the frontier of how AI consumes and acts on internal company data.
- You'll explore how technologies like MCP can unlock self-serve AI data access across the org, and ensure that as we adopt new AI capabilities, our data is ready to meet them.
- The rest of the company's AI ambitions run through you.
Responsibilities
- 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
- Own the transformation layer (dbt), with rigorous testing and validation so every downstream consumer - human or AI - can trust what they're working with
- Strong data quality instincts and a track record of building infrastructure that unblocks teams
Requirements
- 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
Nice to have
- Experience in startups, a plus
Compensation
- The base salary range for this position is estimated to be between $200,000 - $240,000 annually.
- Your salary will be determined by various factors, including relevant experience, skill set, qualifications, and other business needs.
Benefits
- 🏥 Medical, Dental, & Vision
- 💪 Gym Reimbursement
- 🖥️ Home Office Build-out Budget
- 🚅 Commuter Benefits
- 🌴 Flexible Time Off
- 🧘♂️ Wellbeing & Mental Health Perks
- 🧠 Learning & Development Stipend
- 💸 HSA and FSA Plans
- 🧬 Fertility Benefits
- Alchemy is committed to offering competitive compensation, including base salary as well as equity.
- Please note this range reflects base salary only, and does not include bonus, equity, or benefits.
- Benefits & Perks
Company info
- What We're Looking For:
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This listing is sourced directly from A16zcrypto's careers page and normalized into a canonical job model.