Data Engineer Visa Sponsorship Jobs in New York
New York's data engineering market spans finance, media, and tech, with major employers like JPMorgan Chase, Bloomberg, Spotify, and Palantir actively hiring in Manhattan and Brooklyn. The city's concentration of data-intensive industries makes it one of the most active states for data engineer visa sponsorship, particularly for H-1B visa petitions filed by large financial and technology firms.
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Get Access To All JobsData Engineer II
US - East Coast (Remote)
At Magnite, we cultivate an environment of continuous growth and collaboration. Our work impacts what millions of people read, watch, and buy, and we’re looking for people to help us tackle that responsibility with creativity and focus. Magnite (NASDAQ: MGNI) is the world’s largest independent sell-side advertising platform. Publishers use our technology to monetize their content across all screens and formats including CTV / streaming, online video, display, and audio. Our tech fuels billions of transactions per day!
About this team:
You will join the Innovative Services Group (part of the wider Audience team). Innovative services build solutions across the Audience group (and beyond) that are leveraged by other teams. Examples include probabilistic services able to handle over 500k requests a second, and optimising how compute is deployed in our data pipelines yielding very high cost savings across the teams.
The wider Audience team is responsible for managing and delivering the first and third-party data that powers all of the platforms that Magnite operates. We’re a globally distributed team of software and data engineers who build and operate huge scale data pipelines and real-time scaled services to enable Magnite and Magnite’s customers to reach their goals.
In this role, you will:
Note: given the seniority of this position, we don't expect you to be here on day one, but this is what you can expect to grow into.
This role is focused on the data engineering side of the team’s responsibilities, and this job listing reflects that, but there is an opportunity to get involved more broadly.
- Build and optimize data pipelines using Apache Spark and Python, processing billions of events in both streaming and batch modes. We work at TB scale.
- Collaborate with senior data engineers to improve Magnite’s Audience data pipelines by identifying and implementing innovative solutions.
- Own the operational performance of your builds, ensuring uptime and implementing recovery strategies.
- Collaborate with SRE teams to provision infrastructure using Terraform and AWS (future Kubernetes on-premise).
- Proactively identify and help solve impactful problems.
We’re looking for someone with:
More than anything we expect you to love learning and see problems as things to overcome rather than blockers. You are part of a team that moves fast, makes incremental improvements towards a vision and solves problems other teams are struggling with.
You should look at this list and our tech stack and think “wow I want to learn that”, rather than being an expert. We expect you to have expertise with 1-2 items and familiarity with a couple more. Most candidates will have 2+ years of experience.
- Hands-on experience with Apache Spark (mainly PySpark). Ideally, you will have written a variety of pipelines that you have deployed in production.
- Strong Python skills, particularly in the context of Databricks and Spark.
- Data pipeline design knowledge, from sourcing event data to creating queryable data layers.
- Familiarity with event-based data architecture (e.g., Kafka).
- SQL experience for data analysis and transformations.
- Hands-on experience with AWS and Terraform for IaaS solutions.
- Experience writing Jenkins or Github actions pipelines to run build and integration actions.
- GoLang for distributed service development.
- Kubernetes experience.
Our current tech stack:
- Python, Golang, Rust, Java / Spring Boot
- ECS, Fargate, Kubernetes
- Spark, Databricks
- Luigi, Airflow
- Docker
- ALB, HAProxy
- RDS, MariaDB, Postgres
- Redis, Memcache
- Kafka, SNS, SQS
- Terraform, Github Actions, Jenkins
- JavaScript / TypeScript / React
- Linux (both on-premise and AWS)
In the US East Coast (including NYC and Boston), the base salary range for this role is $120,000 – $135,000. Actual compensation will be determined based on location, experience, skills, and internal equity.
This role is also eligible for:
- Annual performance-based bonus
- Equity (NASDAQ: MGNI)
- Comprehensive benefits package
During the interview process, candidates will receive more specific information about the salary range applicable to their experience and location.
Perks and Benefits:
- Comprehensive Healthcare Coverage from Day One
- Generous Time Off
- Holiday Breaks and Quarterly Wellness Days
- Equity and Employee Stock Purchase Plan
- Family-Focused Benefits and Parental Leave
- 401k Retirement Savings Plan with Employer Match
- Disability and Life Insurance
- Cell Phone Subsidy
- Monthly Fitness and Reimbursement
Career Growth:
We support internal mobility, skill development, and leadership pathways through structured career frameworks and learning programs.
Company Culture:
Magnite’s culture is rooted in collaboration and connection, recognizing that both are essential to success. Our hybrid schedule includes two remote workdays (Monday and Friday) and three in-office days (Tuesday through Thursday), where employees can take advantage of catered lunches, beverages, snacks, training opportunities, and engaging office events that enhance the work experience. In addition, we support our team through meaningful benefits and programs, including community service and volunteer opportunities, company-matched charitable contributions, access to mental health resources, structured career development initiatives and growth frameworks, culture and inclusion programs, and our Bonusly peer-to-peer recognition platform.
About us
The world's leading agencies and brands trust our platform to access brand-safe, high-quality ad inventory and execute billions of advertising transactions each month. Anchored in bustling New York City, sunny Los Angeles, mile-high Denver, historic London, and down under in Sydney, Magnite has offices across North America, EMEA, LATAM, and APAC.
Magnite is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other federal, state or local protected class.
Our Commitment: We aim to incorporate a wide range of voices into our Magnite culture, cultivating an environment where employees feel welcomed, cared for, and encouraged to freely share ideas. We are committed to employee growth, collaboration, inclusion, and innovation. We invest in Magnite’s local communities. We seek talent from all backgrounds to champion corporate values of seeing the big picture and being catalysts of change.
Want to learn more about us?
Check out our blog for Magnite announcements and Ad Tech industry news!
Recruiting Agency Notice
Magnite does not accept agency resumes and is not responsible for any fees related to unsolicited resumes.
Data Engineer II
US - East Coast (Remote)
At Magnite, we cultivate an environment of continuous growth and collaboration. Our work impacts what millions of people read, watch, and buy, and we’re looking for people to help us tackle that responsibility with creativity and focus. Magnite (NASDAQ: MGNI) is the world’s largest independent sell-side advertising platform. Publishers use our technology to monetize their content across all screens and formats including CTV / streaming, online video, display, and audio. Our tech fuels billions of transactions per day!
About this team:
You will join the Innovative Services Group (part of the wider Audience team). Innovative services build solutions across the Audience group (and beyond) that are leveraged by other teams. Examples include probabilistic services able to handle over 500k requests a second, and optimising how compute is deployed in our data pipelines yielding very high cost savings across the teams.
The wider Audience team is responsible for managing and delivering the first and third-party data that powers all of the platforms that Magnite operates. We’re a globally distributed team of software and data engineers who build and operate huge scale data pipelines and real-time scaled services to enable Magnite and Magnite’s customers to reach their goals.
In this role, you will:
Note: given the seniority of this position, we don't expect you to be here on day one, but this is what you can expect to grow into.
This role is focused on the data engineering side of the team’s responsibilities, and this job listing reflects that, but there is an opportunity to get involved more broadly.
- Build and optimize data pipelines using Apache Spark and Python, processing billions of events in both streaming and batch modes. We work at TB scale.
- Collaborate with senior data engineers to improve Magnite’s Audience data pipelines by identifying and implementing innovative solutions.
- Own the operational performance of your builds, ensuring uptime and implementing recovery strategies.
- Collaborate with SRE teams to provision infrastructure using Terraform and AWS (future Kubernetes on-premise).
- Proactively identify and help solve impactful problems.
We’re looking for someone with:
More than anything we expect you to love learning and see problems as things to overcome rather than blockers. You are part of a team that moves fast, makes incremental improvements towards a vision and solves problems other teams are struggling with.
You should look at this list and our tech stack and think “wow I want to learn that”, rather than being an expert. We expect you to have expertise with 1-2 items and familiarity with a couple more. Most candidates will have 2+ years of experience.
- Hands-on experience with Apache Spark (mainly PySpark). Ideally, you will have written a variety of pipelines that you have deployed in production.
- Strong Python skills, particularly in the context of Databricks and Spark.
- Data pipeline design knowledge, from sourcing event data to creating queryable data layers.
- Familiarity with event-based data architecture (e.g., Kafka).
- SQL experience for data analysis and transformations.
- Hands-on experience with AWS and Terraform for IaaS solutions.
- Experience writing Jenkins or Github actions pipelines to run build and integration actions.
- GoLang for distributed service development.
- Kubernetes experience.
Our current tech stack:
- Python, Golang, Rust, Java / Spring Boot
- ECS, Fargate, Kubernetes
- Spark, Databricks
- Luigi, Airflow
- Docker
- ALB, HAProxy
- RDS, MariaDB, Postgres
- Redis, Memcache
- Kafka, SNS, SQS
- Terraform, Github Actions, Jenkins
- JavaScript / TypeScript / React
- Linux (both on-premise and AWS)
In the US East Coast (including NYC and Boston), the base salary range for this role is $120,000 – $135,000. Actual compensation will be determined based on location, experience, skills, and internal equity.
This role is also eligible for:
- Annual performance-based bonus
- Equity (NASDAQ: MGNI)
- Comprehensive benefits package
During the interview process, candidates will receive more specific information about the salary range applicable to their experience and location.
Perks and Benefits:
- Comprehensive Healthcare Coverage from Day One
- Generous Time Off
- Holiday Breaks and Quarterly Wellness Days
- Equity and Employee Stock Purchase Plan
- Family-Focused Benefits and Parental Leave
- 401k Retirement Savings Plan with Employer Match
- Disability and Life Insurance
- Cell Phone Subsidy
- Monthly Fitness and Reimbursement
Career Growth:
We support internal mobility, skill development, and leadership pathways through structured career frameworks and learning programs.
Company Culture:
Magnite’s culture is rooted in collaboration and connection, recognizing that both are essential to success. Our hybrid schedule includes two remote workdays (Monday and Friday) and three in-office days (Tuesday through Thursday), where employees can take advantage of catered lunches, beverages, snacks, training opportunities, and engaging office events that enhance the work experience. In addition, we support our team through meaningful benefits and programs, including community service and volunteer opportunities, company-matched charitable contributions, access to mental health resources, structured career development initiatives and growth frameworks, culture and inclusion programs, and our Bonusly peer-to-peer recognition platform.
About us
The world's leading agencies and brands trust our platform to access brand-safe, high-quality ad inventory and execute billions of advertising transactions each month. Anchored in bustling New York City, sunny Los Angeles, mile-high Denver, historic London, and down under in Sydney, Magnite has offices across North America, EMEA, LATAM, and APAC.
Magnite is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other federal, state or local protected class.
Our Commitment: We aim to incorporate a wide range of voices into our Magnite culture, cultivating an environment where employees feel welcomed, cared for, and encouraged to freely share ideas. We are committed to employee growth, collaboration, inclusion, and innovation. We invest in Magnite’s local communities. We seek talent from all backgrounds to champion corporate values of seeing the big picture and being catalysts of change.
Want to learn more about us?
Check out our blog for Magnite announcements and Ad Tech industry news!
Recruiting Agency Notice
Magnite does not accept agency resumes and is not responsible for any fees related to unsolicited resumes.
Data Engineer Job Roles in New York
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Search Data Engineer Jobs in New YorkData Engineer Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for data engineers in New York?
Financial institutions and technology companies are the most consistent sponsors. JPMorgan Chase, Goldman Sachs, Bloomberg, Spotify, Palantir, and Verizon have all filed H-1B petitions for data engineer roles in New York. Large consulting firms including Deloitte and Accenture also sponsor data engineers placed at New York client sites. Sponsorship activity is heaviest among employers with established global hiring programs and dedicated immigration teams.
Which visa types are most common for data engineer roles in New York?
The H-1B is the most common visa for data engineers in New York, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, information systems, or a related field. Candidates already in the U.S. on F-1 OPT or STEM OPT frequently receive H-1B sponsorship from New York employers. The O-1A is another pathway for engineers with a strong record of publications, patents, or industry recognition.
Which cities in New York have the most data engineer sponsorship jobs?
Manhattan accounts for the large majority of data engineer sponsorship jobs in New York, driven by the financial services sector concentrated in Midtown and Lower Manhattan. Brooklyn's tech corridor, particularly around DUMBO and the Navy Yard, has grown as a secondary hub with startups and mid-size technology companies. Buffalo and Albany have a smaller but growing presence, largely tied to state government technology initiatives and regional university research partnerships.
How to find data engineer visa sponsorship jobs in New York?
Migrate Mate filters job listings specifically for roles where employers have a documented history of visa sponsorship, which saves significant time when targeting data engineer positions in New York. You can browse by role and state to surface openings at financial institutions, tech companies, and consulting firms that have filed H-1B petitions in New York. This is especially useful for F-1 OPT holders and candidates actively managing tight sponsorship timelines.
Are there any New York-specific considerations for data engineer visa sponsorship?
New York employers must meet Department of Labor prevailing wage requirements specific to the New York metropolitan area, which are determined by the location where work is actually performed. Data engineers in hybrid or remote arrangements need to confirm with their employer which worksite location is listed on the Labor Condition Application, as this affects the applicable prevailing wage. New York's large university system, including NYU and Columbia, produces a significant share of candidates entering the H-1B pipeline each cycle.
What is the prevailing wage for sponsored data 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.