Analytics Engineer Visa Sponsorship Jobs in New York
Analytics engineer roles in New York are concentrated across financial services firms in Manhattan, media and ad-tech companies, and a growing base of enterprise tech employers. Major sponsors include JPMorgan Chase, Bloomberg, Spotify, and Conde Nast. New York's density of data-driven organizations makes it one of the most active states for analytics engineer visa sponsorship.
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Get Access To All JobsOUR MISSION
Our mission is to bring web3 to a billion people, by providing builders with the tools they need to build exceptional onchain products. Alchemy is the only complete developer platform that offers the powerful APIs, SDKs, and tools necessary to build and scale onchain apps and rollups.
Our infrastructure powers 70% of the top web3 teams, 90%+ of web2 companies building in web3 and 100+ million end users. Our customers include top web3 brands like Polymarket, OpenSea, Circle, WorldCoin, as well as major global brands like Shopify and Adobe.
The Alchemy team draws from decades of deep expertise in massively scalable infrastructure, AI, and blockchain from leadership roles at leading companies and universities like Google, Microsoft, Facebook, Stanford, and MIT.
We’re backed by the world’s leading VCs and institutions, including: Lightspeed, Silver Lake, a16z, Coatue, Pantera, Addition, Stanford University, Coinbase, and Charles Schwab, among others.
THE ROLE
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.
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 & PERKS
🏥 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
MORE ON THE ROLE
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.
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.
OUR MISSION
Our mission is to bring web3 to a billion people, by providing builders with the tools they need to build exceptional onchain products. Alchemy is the only complete developer platform that offers the powerful APIs, SDKs, and tools necessary to build and scale onchain apps and rollups.
Our infrastructure powers 70% of the top web3 teams, 90%+ of web2 companies building in web3 and 100+ million end users. Our customers include top web3 brands like Polymarket, OpenSea, Circle, WorldCoin, as well as major global brands like Shopify and Adobe.
The Alchemy team draws from decades of deep expertise in massively scalable infrastructure, AI, and blockchain from leadership roles at leading companies and universities like Google, Microsoft, Facebook, Stanford, and MIT.
We’re backed by the world’s leading VCs and institutions, including: Lightspeed, Silver Lake, a16z, Coatue, Pantera, Addition, Stanford University, Coinbase, and Charles Schwab, among others.
THE ROLE
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.
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 & PERKS
🏥 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
MORE ON THE ROLE
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.
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.
Analytics Engineer Job Roles in New York
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Search Analytics Engineer Jobs in New YorkAnalytics Engineer Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for analytics engineers in New York?
Financial institutions like JPMorgan Chase, Goldman Sachs, and Citigroup are among the most active H-1B sponsors for analytics engineering roles in New York. Tech-forward media and ad-tech companies, including Bloomberg, Spotify, and Verizon Media, also file regularly. Enterprise software and consulting firms with large New York offices, such as Deloitte and Accenture, sponsor analytics engineers as well.
Which visa types are most common for analytics engineer roles in New York?
The H-1B is the most common visa for analytics engineers in New York, as the role typically requires a bachelor's degree or higher in computer science, data science, statistics, or a related field, qualifying it as a specialty occupation. Candidates already holding OPT or STEM OPT through a U.S. university can work while H-1B sponsorship is pursued. The O-1A is an option for those with a demonstrable record of exceptional achievement in data or engineering fields.
Which cities in New York have the most analytics engineer sponsorship jobs?
Manhattan accounts for the overwhelming majority of analytics engineer sponsorship activity in New York, driven by finance, media, advertising technology, and enterprise tech employers. Brooklyn's tech corridor, particularly around DUMBO and Downtown Brooklyn, has grown as a secondary hub. Albany and Buffalo have a smaller but present concentration tied to state government data initiatives and regional healthcare systems.
How to find analytics engineer visa sponsorship jobs in New York?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can browse analytics engineer roles in New York without sorting through positions that don't sponsor. The platform surfaces employers who have a documented history of filing for work visas in technical roles, which is particularly useful in New York where many postings don't explicitly state sponsorship status upfront.
Are there any New York-specific considerations for analytics engineers seeking visa sponsorship?
New York's prevailing wage requirements for H-1B roles are set at competitive levels given the cost of living, particularly for Manhattan-based positions, meaning employers must meet Department of Labor wage determinations before filing. New York also has a strong university pipeline, with graduates from Columbia, NYU, and Cornell Tech frequently entering the local analytics engineering market and seeking OPT-to-H-1B transitions with established New York employers.
What is the prevailing wage for sponsored analytics engineer jobs in New York?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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