Senior Staff Data Engineer Jobs in New York
Senior Staff Data Engineer jobs in New York are among the most actively recruited in the country, with demand concentrated in financial services, media and technology, healthcare analytics, and enterprise software across New York City, Albany, and Buffalo. Major employers with lasting New York footprints include JPMorgan Chase, Bloomberg, and IBM, all of which staff sizable data engineering teams at multiple seniority levels. The most in-demand specialties right now are cloud data platform engineering, real-time streaming pipelines, and data mesh architecture. Find a role that fits below and apply directly.
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About Radar
Radar is the global leader in geolocation, with geofencing SDKs, maps APIs, and AI-enabled solutions for marketing, fraud, and operations teams. Why is Radar the best place to work?
We're trusted by some of the world's best companies, from high-growth startups to the Fortune 500.
We have incredible scale: We're processing over 1 billion API calls per day from hundreds of millions of devices.
We're well-resourced, and we've raised $85.5M from world-class investors, including Accel and Insight Partners.
We have a high-performance culture, with ambitious and entrepreneurial teammates in every role.
We recently moved into an amazing new office in Flatiron, Manhattan, NYC.
We were recently named a top 10 best place to work in NYC by Crain's.
Despite our growth and scale, we're still just getting started. That's where you come in.
About The Role
We're looking for a Data Platform Engineer to build out the next generation of our data platform. The ideal candidate has been a data platform engineer on a large system and is energized by deeply understanding customer pain points and opportunities related to our data platform. To date this has been a shared responsibility on our engineering team, but as we've grown to over 1 billion API calls per day (with lots of data exhaust into our data lake), we're hiring a Data Platform Engineering team to modernize and level up our data stack. This role can be either in our NYC HQ or remote in the US.
How We Work
Most of our engineering team are former technical co-founders or former Radar interns from schools like Waterloo and CMU. Most engineers at Radar fit one of two molds, technically: either Staff level expertise in one stack, or "Multi-Stack" at any level. We say "Multi-Stack" because "Full-Stack" has the connotation of "Frontend and Backend", but Radar Engineers might also work on Mobile or Data engineering. Not that you need to be an expert in all of those, but a desire to learn, jump around to different stacks, and get things done is the important part.
We care a lot about shipping fast and talking to customers. We're committed to our product vision of full-stack location infrastructure, but we also know that customer feedback is a treasure map to gold. Even though Slack is the brain of our company, working together in-person in our NYC HQ is the fastest way for us to get things done. We meet on Mondays to plan out work for the week in small groups and use Linear for planning. All projects are run by an Engineering lead, an executive and a Go-to-Market lead. Engineers figure out what to build, talk to customers, talk to prospects, help close them, get them live and make them successful. One of our most important company values is "Walk a mile," as in walking a mile in the customer's shoes, but also as in literally walking a mile, getting up from your desk and developing a deep understanding of how location services behave in the real world. To us, a week is a long time, and we expect to ship big things every week.
The Stack
Our data stack includes Kinesis, S3, Athena, Terraform, Airflow, Parquet, Metabase, Python, Redis, MongoDB, and Kubernetes.
Our primary languages are TypeScript, Rust, and Python.
Most engineers are in the on-call rotation.
We sponsor OpenStreetMaps, MapLibre, and OpenAddresses.
How We Use AI
Engineers choose what AI tools they use, Claude being the most popular.
We're actively building Claude skills - for example we've taught it how to debug HorizonDB, our geospatial database.
All code changes are reviewed by an Engineer knowledgeable in that area. Claude and Copilot also review all PRs.
There is a range of how much engineers use AI. Most use it daily if not weekly.
* We are excited about what AI can do, but we also recognize the risks and don't compromise our coding standards.
The Hiring Process
After a call with our Technical Recruiter, you'll do several technical Zoom calls with members of our engineering team: code screen, coding round, and system design round. If those go well we'll invite you to our NYC HQ for a final round interview. You'll meet one of our co-founders, someone from outside engineering, and meet more people from Radar. We'll go into more depth about how we work to see if there is a match.
What You’ll Do
Work on core Radar data infrastructure built with Kinesis, S3, Athena, Terraform, Airflow, Parquet, Metabase, Python, Redis, and Mongo (some of these need to be replaced - you'll help figure out what that looks like)
Improve our current data platform via incremental improvements and deploying next generation infra to level up our stack.
* Talk to Radar customers and prospects, hear their feedback, incorporate it into your work and make them successful.
You Should
Have experience building data infrastructure
Besides experience with some of our current data stack, have experience with several of Snowflake, Clickhouse, Databricks, Dynamo and dbt or similar tools
Are interested in talking to customers or prospects and making them successful
Are deeply curious about how things work, and have the tenacity to sit with hard problems and power through them
Bonus Points If You
Are a former technical co-founder
Have experience building end-to-end customer facing analytics, real-time streaming solutions, leveraging cold and hot storage to achieve product goals
You’ll Work With
Tim Julien, CTO
Our customers and prospects
* Our Customer Success, Sales Engineering, and Sales teams
What We Offer
Competitive salary
Meaningful stock options in a fast-growing company
401(k) plan with 4% match
New HQ in Flatiron, NYC
Top-notch equipment
Catered lunches
Unlimited PTO
Health, dental, and vision insurance with 100% coverage for employees
12 weeks of paid parental leave
Commuter and fitness benefits
Compensation
For candidates based in the United States, the base salary range for this full-time position is between $200,000 - $300,000/year with an opportunity for performance bonuses and incentives. In addition to cash compensation, Radar offers full-time employees stock option grants under its equity plan. This is a meaningful ownership stake in the company we provide to our employees as we build a category-defining company.
Our salary ranges are determined by role, level, and location. The range displayed on this job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Your exact offer may vary based on market location, job-related skills, experience, and relevant education or training.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.
Compensation Range: $200K - $300K
About Radar
Radar is the global leader in geolocation, with geofencing SDKs, maps APIs, and AI-enabled solutions for marketing, fraud, and operations teams. Why is Radar the best place to work?
We're trusted by some of the world's best companies, from high-growth startups to the Fortune 500.
We have incredible scale: We're processing over 1 billion API calls per day from hundreds of millions of devices.
We're well-resourced, and we've raised $85.5M from world-class investors, including Accel and Insight Partners.
We have a high-performance culture, with ambitious and entrepreneurial teammates in every role.
We recently moved into an amazing new office in Flatiron, Manhattan, NYC.
We were recently named a top 10 best place to work in NYC by Crain's.
Despite our growth and scale, we're still just getting started. That's where you come in.
About The Role
We're looking for a Data Platform Engineer to build out the next generation of our data platform. The ideal candidate has been a data platform engineer on a large system and is energized by deeply understanding customer pain points and opportunities related to our data platform. To date this has been a shared responsibility on our engineering team, but as we've grown to over 1 billion API calls per day (with lots of data exhaust into our data lake), we're hiring a Data Platform Engineering team to modernize and level up our data stack. This role can be either in our NYC HQ or remote in the US.
How We Work
Most of our engineering team are former technical co-founders or former Radar interns from schools like Waterloo and CMU. Most engineers at Radar fit one of two molds, technically: either Staff level expertise in one stack, or "Multi-Stack" at any level. We say "Multi-Stack" because "Full-Stack" has the connotation of "Frontend and Backend", but Radar Engineers might also work on Mobile or Data engineering. Not that you need to be an expert in all of those, but a desire to learn, jump around to different stacks, and get things done is the important part.
We care a lot about shipping fast and talking to customers. We're committed to our product vision of full-stack location infrastructure, but we also know that customer feedback is a treasure map to gold. Even though Slack is the brain of our company, working together in-person in our NYC HQ is the fastest way for us to get things done. We meet on Mondays to plan out work for the week in small groups and use Linear for planning. All projects are run by an Engineering lead, an executive and a Go-to-Market lead. Engineers figure out what to build, talk to customers, talk to prospects, help close them, get them live and make them successful. One of our most important company values is "Walk a mile," as in walking a mile in the customer's shoes, but also as in literally walking a mile, getting up from your desk and developing a deep understanding of how location services behave in the real world. To us, a week is a long time, and we expect to ship big things every week.
The Stack
Our data stack includes Kinesis, S3, Athena, Terraform, Airflow, Parquet, Metabase, Python, Redis, MongoDB, and Kubernetes.
Our primary languages are TypeScript, Rust, and Python.
Most engineers are in the on-call rotation.
We sponsor OpenStreetMaps, MapLibre, and OpenAddresses.
How We Use AI
Engineers choose what AI tools they use, Claude being the most popular.
We're actively building Claude skills - for example we've taught it how to debug HorizonDB, our geospatial database.
All code changes are reviewed by an Engineer knowledgeable in that area. Claude and Copilot also review all PRs.
There is a range of how much engineers use AI. Most use it daily if not weekly.
* We are excited about what AI can do, but we also recognize the risks and don't compromise our coding standards.
The Hiring Process
After a call with our Technical Recruiter, you'll do several technical Zoom calls with members of our engineering team: code screen, coding round, and system design round. If those go well we'll invite you to our NYC HQ for a final round interview. You'll meet one of our co-founders, someone from outside engineering, and meet more people from Radar. We'll go into more depth about how we work to see if there is a match.
What You’ll Do
Work on core Radar data infrastructure built with Kinesis, S3, Athena, Terraform, Airflow, Parquet, Metabase, Python, Redis, and Mongo (some of these need to be replaced - you'll help figure out what that looks like)
Improve our current data platform via incremental improvements and deploying next generation infra to level up our stack.
* Talk to Radar customers and prospects, hear their feedback, incorporate it into your work and make them successful.
You Should
Have experience building data infrastructure
Besides experience with some of our current data stack, have experience with several of Snowflake, Clickhouse, Databricks, Dynamo and dbt or similar tools
Are interested in talking to customers or prospects and making them successful
Are deeply curious about how things work, and have the tenacity to sit with hard problems and power through them
Bonus Points If You
Are a former technical co-founder
Have experience building end-to-end customer facing analytics, real-time streaming solutions, leveraging cold and hot storage to achieve product goals
You’ll Work With
Tim Julien, CTO
Our customers and prospects
* Our Customer Success, Sales Engineering, and Sales teams
What We Offer
Competitive salary
Meaningful stock options in a fast-growing company
401(k) plan with 4% match
New HQ in Flatiron, NYC
Top-notch equipment
Catered lunches
Unlimited PTO
Health, dental, and vision insurance with 100% coverage for employees
12 weeks of paid parental leave
Commuter and fitness benefits
Compensation
For candidates based in the United States, the base salary range for this full-time position is between $200,000 - $300,000/year with an opportunity for performance bonuses and incentives. In addition to cash compensation, Radar offers full-time employees stock option grants under its equity plan. This is a meaningful ownership stake in the company we provide to our employees as we build a category-defining company.
Our salary ranges are determined by role, level, and location. The range displayed on this job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Your exact offer may vary based on market location, job-related skills, experience, and relevant education or training.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.
Compensation Range: $200K - $300K
See All 10 Senior Staff Data Engineer Jobs in New York
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Find JobsSenior Staff Data Engineer Jobs by City in New York
Where New York roles are concentrated, by current openings.
Senior Staff Data Engineer Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
- Cohere3
- Citi1
- Etsy1
- GEICO1
- Intuit1
Top Industries Hiring
- Technology & Software7
- Biotechnology & Pharmaceuticals3
- Banking & Financial Services1
- Construction & Real Estate1
- Investment & Asset Management1
What New York Employers Look For
The qualifications that appear most often in senior staff data engineer jobs across New York.
- Bachelor's or master's degree in computer science, data engineering, or a related field
- Seven or more years of experience designing and building large-scale data pipelines
- Deep expertise in distributed systems such as Apache Spark, Kafka, or Flink
- Proficiency with cloud platforms including AWS, Google Cloud, or Azure data services
- Experience leading cross-functional data engineering teams and mentoring junior engineers
- Strong command of SQL and at least one programming language such as Python or Scala
Senior Staff Data Engineer Jobs in New York: Frequently Asked Questions
How do you become a senior staff data engineer in New York?
New York does not require a state-issued license to work as a senior staff data engineer. The typical path starts with a bachelor's degree in computer science or a related technical field, followed by several years of hands-on pipeline and platform work at progressively larger scale. New York employers weight demonstrated cloud architecture experience and systems design heavily at the senior staff level, and a portfolio showing end-to-end data platform ownership is often decisive in competitive hiring processes.
How much do senior staff data engineers make in New York?
Senior staff data engineers in New York earn a median of about $166,180 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $97,430 for the lowest 10% to over $224,590 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire senior staff data engineers in New York?
Employers hiring senior staff data engineers in New York right now include Cohere, Citi, and Etsy, based on current listings on Migrate Mate as of June 2026. New York's concentration of financial institutions, media companies, and enterprise technology firms means demand at this seniority level remains broad and consistent throughout the year.
Which New York cities have the most senior staff data engineer jobs?
New York and Brooklyn have the most senior staff data engineer openings in New York. New York City dominates due to its dense cluster of financial services firms, media organizations, and technology companies, while Albany and Buffalo draw demand from state government technology initiatives, healthcare systems, and regional enterprise employers that have expanded their data engineering teams in recent years.
Are there remote senior staff data engineer jobs in New York?
Yes, and more than most fields. About 70% of senior staff data engineer openings tied to New York are remote or hybrid as of June 2026, reflecting how broadly this role is suited to distributed work. The parts of the role most commonly done fully remote include pipeline development, data modeling, and architectural review, while on-site presence is more likely when the position involves embedded team leadership or close collaboration with trading or operations floors.
How can I get hired as a senior staff data engineer in New York with little or no experience?
The most realistic entry path is an associate or junior data engineer role at a mid-size New York technology or financial services firm, where hands-on pipeline work builds the production experience senior staff roles require. Large New York employers such as Bloomberg and JPMorgan Chase run structured early-career programs in data and software engineering for recent graduates. Candidates transitioning from adjacent roles like data analyst, backend software engineer, or database administrator have a clear path when they supplement with cloud certifications and an open-source or personal project portfolio.
Where can I find and apply to senior staff data engineer jobs in New York?
You can find and apply to senior staff data engineer jobs in New York on Migrate Mate, which lists current openings across the state. Search the available roles, identify the ones that match your experience and location, and apply directly to the employers posting them.
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