Data Analytics Engineer (Web3)

TL;DR

Data Analytics Engineer (Web3): Designing clean, trusted datasets that power AI tooling and ensuring every team can make decisions from a single source of truth with an accent on data quality and efficient data models. Focus on MCP integrations and proactively serving team data needs at the platform level.

Location: New York, NY

Salary: $200,000 - $240,000 annually (base salary only, not including bonus, equity, or benefits)

Company

hirify.global's mission is to bring web3 to a billion people by providing builders with the tools they need to build exceptional onchain products.

What you will do

• Build and own canonical data models in Snowflake that serve as hirify.global's company-wide source of truth.
• Structure datasets so vendor AI tools perform optimally out of the box.
• 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.
• Own the transformation layer (dbt), with rigorous testing and validation.

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 to scope well, prioritize ruthlessly, and communicate tradeoffs.
• Experience in startups is a plus.

Culture & Benefits

• Medical, dental, & vision coverage.
• Gym reimbursement and home office build-out budget.
• In-office group meals and commuter benefits.
• Flexible time off and wellbeing & mental health perks.
• Learning & development stipend and company-sponsored conferences & events.
• HSA and FSA plans, plus fertility benefits.