Data Analytics Engineer
NetVRk
- New York, New York, United States
- New York, New York, United States
Über
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 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.
Compensation 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.
Location New York, New York, United States, San Francisco, California, United States candidates are welcome.
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Sprachkenntnisse
- English
Hinweis für Nutzer
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