Data Analytics Engineer Visa Sponsorship Jobs in New York
New York is one of the most active markets for data analytics engineer visa sponsorship, with major employers across finance, media, and technology concentrated in Manhattan and Brooklyn. Firms like JPMorgan Chase, Spotify, and Peloton have sponsored data analytics engineers, alongside a growing cluster of startups and consulting firms throughout the metro area.
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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.
Data Analytics Engineer Job Roles in New York
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Search Data Analytics Engineer Jobs in New YorkData Analytics Engineer Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for data analytics engineers in New York?
Financial institutions and large technology companies are among the most consistent sponsors. JPMorgan Chase, Citigroup, Bloomberg, and Goldman Sachs regularly file Labor Condition Applications for data analytics engineers in New York. Major tech employers including Google, Amazon, and Spotify also maintain active sponsorship programs at their New York offices. Consulting firms such as Deloitte and Accenture sponsor across their data and analytics practices as well.
Which visa types are most common for data analytics engineer roles in New York?
The H-1B is the most common visa category for data analytics engineers in New York, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, statistics, or a related field. Candidates from Australia may qualify for the E-3 visa, and Canadian and Mexican nationals may be eligible for the TN visa under the software engineer or systems analyst categories. L-1B visas are also used when a candidate transfers intracompany from an overseas office.
Which cities in New York have the most data analytics engineer sponsorship jobs?
Manhattan accounts for the largest concentration of data analytics engineer sponsorship jobs in New York, driven by the finance, media, and technology sectors headquartered there. Brooklyn's tech corridor, particularly around DUMBO and Industry City, has a growing number of startups and mid-size companies that sponsor data roles. Smaller pockets of activity exist in Long Island City and Buffalo, particularly at firms with regional offices or operations centers.
How to find data analytics engineer visa sponsorship jobs in New York?
Migrate Mate is built specifically for international candidates searching for visa sponsorship roles and filters data analytics engineer jobs by location, including New York. Because sponsorship willingness is often not stated in standard job postings, Migrate Mate focuses on employers with a documented history of sponsoring work visas. Filtering by New York on the platform surfaces relevant openings across finance, tech, and media companies that have previously supported international candidates in this role.
Are there any New York-specific considerations for data analytics engineers seeking visa sponsorship?
New York's prevailing wage requirements for H-1B and E-3 Labor Condition Applications reflect the high cost of living in the metro area, meaning employers must pay at or above the Department of Labor's determined wage levels for the region. The depth of New York's university pipeline, including graduates from NYU, Columbia, and Cornell Tech, means competition for sponsored roles can be strong. Candidates with experience in financial data systems, real-time analytics, or SQL-based data modeling tend to align well with the industries that dominate New York's sponsorship activity.
What is the prevailing wage for sponsored data 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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