Data Analytics Engineer

You'll sit at the frontier of how AI consumes and acts on internal company data. As the data layer for the entire company, you'll act as a strategic partner to Finance, Marketing, Sales, Product, and Data Science, designing the clean, trusted datasets that power the company's 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 organization, and make sure that as new AI capabilities are adopted, the data is ready to meet them.

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
• 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

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
• 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

• 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
• 401k
• Equity