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