Data Analytics Engineer, Alchemy
$20-240k
Web3 development platform
Be an early applicant
Web3 development platform
201-500 employees
Be an early applicant
$20-240k
201-500 employees
Company mission
To provide developers with the fundamental building blocks they need to create the future of technology.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
Blockchain technology is a rapidly growing industry with many startups and established companies developing new applications that utilize it. However, many companies reinvent the wheel as they each attempt to build their own version of the blockchain software.
Alchemy offers a platform that simplifies the creation of blockchains and the launching of new nodes. It provides developers with “building blocks” that can be used to make the process more efficient. Alchemy is working with multinational organizations like Meta, Adobe, and Splunk, and it has won many clients from their current top competitor, Infura.
The company has seen considerable growth and is now acquiring companies to improve its stack. It now serves over 10M end users and became a unicorn after attracting impressive funding in 2022. It continues to refine its platform to gain competitive edge, recently launching a transaction simulation product to help reduce the chances of transactions becoming susceptible to scams.
Freddie
Company Specialist at Welcome to the Jungle
Insights
64% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Feb 2022
$200m
SERIES C
Oct 2021
$250m
SERIES C
Total funding: $545m
Company benefits
- Health, dental and vision insurance
- HSA
- Flexible time off
- Group meals
- 401k plan
- Company retreats
- Conferences and events
- Gym membership
- Commuting benefits
- Relocation bonus
- Paid parental leave
- Home office stipend
Company HQ
SoMa, San Francisco, CA
Leadership
Nikil Viswanathan
(Co-Founder & CEO)After studying Computer Science at Stanford, Nikil co-founded Down to Lunch in 2016, serving as CEO. Left this role in 2017 to co-found Alchemy.
Joseph Lau
(Co-Founder & President)Also co-founded Down to Lunch. Previously Software Engineer at Pinterest, Head Teaching Assistant at Stanford University, and Associate Technology Manager Intern at Google.
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