Data Infrastructure Engineer Jobs in New York
Data Infrastructure Engineer jobs in New York are in strong demand, concentrated in financial services, media and technology, and healthcare data operations, with openings at every level from junior data engineers through senior platform architects. New York City, Buffalo, and Albany drive the bulk of hiring, anchored by major employers such as JPMorgan Chase, Bloomberg, and IBM. The most sought-after specialties in New York are cloud data platform engineering, distributed systems design, and data pipeline automation. Find a role that fits below and apply directly.
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Showing 5 of 12+ Data Infrastructure Engineer jobs
About Suno
We're building the world's first creative entertainment platform, where the entire world can feel the joy and fulfillment of making music. Music is for everyone: Our users include everyone from grandmothers creating songs for their loved ones, to Grammy winners using Suno Studio, our power tool, to make the most popular hits in the world.
Building the future of entertainment requires ambition. The pace is fast, the problems are hard, and the work demands ownership and intensity. For the right people, it’s incredibly rewarding: a chance to shape a new medium, work with a small team that cares deeply about quality, make music, drink too much coffee, and build something that millions of people use to express themselves in ways that were never before possible.
Suno is the fastest growing consumer entertainment company and the leader in AI music. We are backed by leading investors including Bond Capital, Menlo Ventures, Lightspeed Venture Partners, IVP, Forerunner, Union Square Ventures, Alkeon, Quiet, Matrix Partners, Schroders Capital and, NVentures (venture arm of NVIDIA).
About the Role
Suno is growing fast, and we’re hiring Staff and Senior Software Engineers to build and scale the foundational systems that power our data platform and personalized recommendations. You’ll design and operate infrastructure that ingests, processes, and serves PBs of data, helping connect listeners with music they love while supporting analytics, experimentation, and machine learning across the company.
This is a high-impact, senior role at the intersection of Data Infrastructure and ML. You’ll partner closely with Engineering, Data, and ML teams to build the pipelines, feature infrastructure, and low-latency data services that power recommendations and music discovery. Your work will help turn user interactions and content signals into reliable, fresh data for model training and real-time personalization.
As Suno grows, you’ll help define the long-term architecture of our data platform, balancing scalability, reliability, latency, and cost. You’ll build systems that are observable and easy to extend, enabling teams to experiment quickly and improve how people discover and engage with music. You’ll own major systems end to end, from design through production operation, and drive architecture and technical direction across teams.
Check out the Suno version of this role here: https://suno.com/s/yt9eiMi9aj0rmGX6
What You’ll Do
Build and scale the data infrastructure behind personalized recommendations and music discovery, working closely with ML and product engineers.
Design streaming pipelines that transform user interactions and content signals into fresh features for recommendation models.
Develop infrastructure for computing, storing, and serving features across offline model training and online inference, with attention to consistency, reliability, and latency.
Enable recommendation experimentation through reliable impression and interaction logging, supporting model evaluation and measurement of recommendation quality.
Own the architecture and reliability of core streaming and batch infrastructure, using technologies such as Kinesis, Firehose, Lambda, S3, Flink, and Glue.
Build and maintain data workflows and orchestration using Dagster, ensuring pipelines are modular, testable, and observable.
Partner with backend and product engineers to define event schemas, data contracts, and ingestion patterns from production systems.
Improve the reliability and observability of data pipelines through monitoring, alerting, lineage tracking, and automated recovery mechanisms.
Optimize pipelines and storage for performance, cost efficiency, and scalability across AWS and Snowflake.
Implement infrastructure as code (e.g., Terraform) to manage AWS and Snowflake resources in a consistent, reproducible way.
Contribute to data platform standards, including schema evolution, data quality enforcement, and pipeline reliability best practices.
Lead technical design discussions and help shape the future architecture of Suno’s data platform.
Mentor other engineers and raise the bar for engineering quality, reliability, and maintainability.
What You’ll Need
7+ years of relevant experience in software engineering, data infrastructure, or distributed systems.
Strong programming skills, preferably in Python, and experience building and operating production-grade distributed systems.
Deep experience building and operating real-time streaming and batch processing systems.
Experience building data or serving infrastructure for recommendations, personalization, search, or similar ML-powered product experiences.
Understanding of feature computation, online/offline data consistency, and the latency and freshness requirements of production ML systems.
Experience with streaming and cloud data infrastructure, such as Flink, Kinesis, Kafka, or equivalent technologies.
Experience designing reliable, observable systems, including monitoring, logging, alerting, and recovery.
Strong understanding of data modeling, schema evolution, and data quality.
Ability to collaborate closely with ML, data, and product engineering teams, make pragmatic technical decisions, and deliver in ambiguous environments.
A strong sense of ownership, with a track record of delivering scalable infrastructure and improving engineering practices.
Excitement about music, creativity, and AI, and the infrastructure that helps people create and discover music.
Nice to Have
Experience with AWS services such as Kinesis, Firehose, Lambda, S3, and Glue.
Experience with Snowflake or a similar cloud data warehouse, including performance and cost optimization.
Experience with Dagster, Airflow, or similar orchestration frameworks.
Experience with dbt for transformations, testing, and modular data modeling.
Experience with Terraform or similar infrastructure-as-code tools.
Additional Notes
Applicants must be eligible to work in the US.
This role requires working from our Cambridge, MA or New York, NY office five days per week.
Compensation
The annual salary range for this role is $228,960 - 363,510 + target equity + benefits (including medical, dental, vision, and 401k)
Perks & Benefits for Full-Time Employees
Company Equity Package
401(k) with 3% Employer Match & Roth 401(k)
Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)
11 Paid Holidays + Unlimited PTO & Sick Time
16 Weeks of Paid Parental Leave
Creative Education Stipend
Generous Commuter Allowance
In-Office Lunch (5 days per week)
Suno is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the Massachusetts Fair Chance in Employment Act, NYC Fair Chance Act, LA City Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.
Compensation Range: $228,960 - $363,510
About Suno
We're building the world's first creative entertainment platform, where the entire world can feel the joy and fulfillment of making music. Music is for everyone: Our users include everyone from grandmothers creating songs for their loved ones, to Grammy winners using Suno Studio, our power tool, to make the most popular hits in the world.
Building the future of entertainment requires ambition. The pace is fast, the problems are hard, and the work demands ownership and intensity. For the right people, it’s incredibly rewarding: a chance to shape a new medium, work with a small team that cares deeply about quality, make music, drink too much coffee, and build something that millions of people use to express themselves in ways that were never before possible.
Suno is the fastest growing consumer entertainment company and the leader in AI music. We are backed by leading investors including Bond Capital, Menlo Ventures, Lightspeed Venture Partners, IVP, Forerunner, Union Square Ventures, Alkeon, Quiet, Matrix Partners, Schroders Capital and, NVentures (venture arm of NVIDIA).
About the Role
Suno is growing fast, and we’re hiring Staff and Senior Software Engineers to build and scale the foundational systems that power our data platform and personalized recommendations. You’ll design and operate infrastructure that ingests, processes, and serves PBs of data, helping connect listeners with music they love while supporting analytics, experimentation, and machine learning across the company.
This is a high-impact, senior role at the intersection of Data Infrastructure and ML. You’ll partner closely with Engineering, Data, and ML teams to build the pipelines, feature infrastructure, and low-latency data services that power recommendations and music discovery. Your work will help turn user interactions and content signals into reliable, fresh data for model training and real-time personalization.
As Suno grows, you’ll help define the long-term architecture of our data platform, balancing scalability, reliability, latency, and cost. You’ll build systems that are observable and easy to extend, enabling teams to experiment quickly and improve how people discover and engage with music. You’ll own major systems end to end, from design through production operation, and drive architecture and technical direction across teams.
Check out the Suno version of this role here: https://suno.com/s/yt9eiMi9aj0rmGX6
What You’ll Do
Build and scale the data infrastructure behind personalized recommendations and music discovery, working closely with ML and product engineers.
Design streaming pipelines that transform user interactions and content signals into fresh features for recommendation models.
Develop infrastructure for computing, storing, and serving features across offline model training and online inference, with attention to consistency, reliability, and latency.
Enable recommendation experimentation through reliable impression and interaction logging, supporting model evaluation and measurement of recommendation quality.
Own the architecture and reliability of core streaming and batch infrastructure, using technologies such as Kinesis, Firehose, Lambda, S3, Flink, and Glue.
Build and maintain data workflows and orchestration using Dagster, ensuring pipelines are modular, testable, and observable.
Partner with backend and product engineers to define event schemas, data contracts, and ingestion patterns from production systems.
Improve the reliability and observability of data pipelines through monitoring, alerting, lineage tracking, and automated recovery mechanisms.
Optimize pipelines and storage for performance, cost efficiency, and scalability across AWS and Snowflake.
Implement infrastructure as code (e.g., Terraform) to manage AWS and Snowflake resources in a consistent, reproducible way.
Contribute to data platform standards, including schema evolution, data quality enforcement, and pipeline reliability best practices.
Lead technical design discussions and help shape the future architecture of Suno’s data platform.
Mentor other engineers and raise the bar for engineering quality, reliability, and maintainability.
What You’ll Need
7+ years of relevant experience in software engineering, data infrastructure, or distributed systems.
Strong programming skills, preferably in Python, and experience building and operating production-grade distributed systems.
Deep experience building and operating real-time streaming and batch processing systems.
Experience building data or serving infrastructure for recommendations, personalization, search, or similar ML-powered product experiences.
Understanding of feature computation, online/offline data consistency, and the latency and freshness requirements of production ML systems.
Experience with streaming and cloud data infrastructure, such as Flink, Kinesis, Kafka, or equivalent technologies.
Experience designing reliable, observable systems, including monitoring, logging, alerting, and recovery.
Strong understanding of data modeling, schema evolution, and data quality.
Ability to collaborate closely with ML, data, and product engineering teams, make pragmatic technical decisions, and deliver in ambiguous environments.
A strong sense of ownership, with a track record of delivering scalable infrastructure and improving engineering practices.
Excitement about music, creativity, and AI, and the infrastructure that helps people create and discover music.
Nice to Have
Experience with AWS services such as Kinesis, Firehose, Lambda, S3, and Glue.
Experience with Snowflake or a similar cloud data warehouse, including performance and cost optimization.
Experience with Dagster, Airflow, or similar orchestration frameworks.
Experience with dbt for transformations, testing, and modular data modeling.
Experience with Terraform or similar infrastructure-as-code tools.
Additional Notes
Applicants must be eligible to work in the US.
This role requires working from our Cambridge, MA or New York, NY office five days per week.
Compensation
The annual salary range for this role is $228,960 - 363,510 + target equity + benefits (including medical, dental, vision, and 401k)
Perks & Benefits for Full-Time Employees
Company Equity Package
401(k) with 3% Employer Match & Roth 401(k)
Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)
11 Paid Holidays + Unlimited PTO & Sick Time
16 Weeks of Paid Parental Leave
Creative Education Stipend
Generous Commuter Allowance
In-Office Lunch (5 days per week)
Suno is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the Massachusetts Fair Chance in Employment Act, NYC Fair Chance Act, LA City Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.
Compensation Range: $228,960 - $363,510
See All 12 Data Infrastructure Engineer Jobs in New York
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Find JobsData Infrastructure Engineer Jobs by City in New York
Where New York roles are concentrated, by current openings.
Data Infrastructure Engineer Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Investment & Asset Management
- Biotechnology & Pharmaceuticals
- Consulting & Professional Services
What New York Employers Look For
The qualifications that appear most often in data infrastructure engineer jobs across New York.
- Bachelor's degree in computer science, information systems, or a closely related engineering field
- Hands-on experience designing and maintaining large-scale data pipelines and ETL workflows
- Proficiency with cloud data platforms such as AWS, Google Cloud Platform, or Microsoft Azure
- Strong command of distributed processing frameworks like Apache Spark, Kafka, or Flink
- Experience with data warehouse technologies such as Snowflake, BigQuery, or Redshift
- Familiarity with infrastructure-as-code tools including Terraform, Ansible, or Kubernetes
Data Infrastructure Engineer Jobs in New York: Frequently Asked Questions
How do you become a data infrastructure engineer in New York?
Data infrastructure engineering carries no state-issued license in New York, so the path centers on education and demonstrated technical skill. Most New York employers expect a bachelor's degree in computer science, software engineering, or a related field. Candidates strengthen their standing with cloud certifications from AWS, Google, or Microsoft, then build a portfolio of pipeline or platform projects. Entry roles at New York technology firms, banks, and hospital systems provide the hands-on experience needed to advance.
How much do data infrastructure engineers make in New York?
Data infrastructure engineers in New York earn a median of about $141,350 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $82,540 for the lowest 10% to over $216,550 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data infrastructure engineers in New York?
Employers hiring data infrastructure engineers in New York right now include Zones, Meta, and suno, based on current listings on Migrate Mate as of November 2026. New York's concentration of global financial institutions, media companies, and large healthcare networks makes it one of the more active and consistent states for this role.
Which New York cities have the most data infrastructure engineer jobs?
New York, New York, and Albany account for the most data infrastructure engineer openings in New York. New York City dominates because of its density of financial services firms, technology companies, and media organizations, while Buffalo and Albany attract postings tied to healthcare systems, state government technology initiatives, and regional enterprise operations that require dedicated data platform teams.
Are there remote data infrastructure engineer jobs in New York?
Yes, and more than most fields, since data infrastructure engineering is primarily a desk and systems role that does not require physical presence in a data center for day-to-day work. About 60% of data infrastructure engineer openings tied to New York are remote or hybrid as of November 2026. Pipeline design, cloud architecture, and monitoring work are the functions most commonly performed fully remotely.
How can I get hired as a data infrastructure engineer in New York with little or no experience?
The most realistic entry path is a junior data engineering or associate platform engineer role at a New York financial institution or large technology employer. JPMorgan Chase, Bloomberg, and IBM all run structured new-graduate and rotational technology programs in New York that place candidates without prior professional experience. Lateral moves from database administration, systems administration, or analytics engineering are also common. An AWS or Google Cloud associate certification and a portfolio showing a working data pipeline give candidates a concrete edge in screening.
Where can I find and apply to data infrastructure engineer jobs in New York?
You can find and apply to data infrastructure engineer jobs in New York on Migrate Mate, which lists current openings across the state. Search the available roles, find the ones that fit your background and location, and apply directly to the employers posting them.
See All 12 Data Infrastructure Engineer Jobs in New York
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