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Alchemy

Data Analytics Engineer

Sorry, this job was removed at 12:45 p.m. (PST) on Tuesday, Jul 21, 2026
Hybrid
San Francisco, CA, USA
Hybrid
San Francisco, CA, USA

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The Role

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. 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.

What You'll Do:

  • 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. Your salary will be determined by various factors, including relevant experience, skill set, qualifications, and other business needs.

HQ

Alchemy San Francisco, California, USA Office

San Francisco, CA, United States

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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