Python Engineer Jobs in New York
Python Engineer jobs in New York are among the most active in the country, with strong demand concentrated in finance, media, healthcare technology, and enterprise software across every level from junior developer through principal engineer. Most openings are in New York City, Buffalo, and Albany, where major employers like JPMorgan Chase, Bloomberg, and IBM maintain large engineering teams. The most sought-after specialties in New York listings are data pipeline development, machine learning infrastructure, and financial systems automation. Find a role that fits below and apply directly.
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About Northbeam
Northbeam is building the world's most advanced marketing intelligence platform, providing top eCommerce brands a unified view of their business data through powerful attribution modeling and customizable dashboards. Our technology helps customers accurately track ad spend, understand the full customer journey, and drive profitable growth. Machine learning has been at the heart of Northbeam since day one: our full suite of measurement, spanning multi-touch attribution, MMM+, and incrementality, is built on it, along with laser-accurate first-party data. Now we're taking that foundation further, using AI to help brands operationalize their data and turn Northbeam insights into automated decisions.
We're experiencing rapid growth, have strong product-market fit, and are looking for the right people to help us scale. This is a rare chance to make a meaningful impact at a fast-moving, high-growth company. At Northbeam, you'll join a team of driven, collaborative, and talented individuals who value personal growth and excellence. We'd love for you to be part of our journey.
We're a remote-friendly company with physical offices in San Francisco and Los Angeles.
About the Role
We're looking for a senior-level software engineer who leans backend and can take product problems from first principles through implementation. You'll spend roughly 70% of your time on backend and distributed systems work and 20–30% on frontend work, giving you the ability to own features across the stack when needed.
You'll help take new products and capabilities from early traction to meaningful scale — designing reliable backend systems while contributing the frontend components required to deliver complete product experiences. This work could include helping expand our new incrementality offering into a scalable experimentation platform, building near real-time data infrastructure or building AI into our marketing user's workflows. You'll have an opportunity to collaborate with a cross-functional team of data scientists, product managers, and designers along the way.
Your Impact
- Scale our new incrementality product into a reliable, repeatable experimentation platform.
- Develop near-real-time ingestion and processing capabilities to move beyond batch workflows.
- Build new AI-powered workflows that help marketers evaluate performance and act on insights.
- Improve connection-state systems and help extend the partner ecosystem across data ingestion and exports.
- Work on other product areas such as role-based access control (RBAC).
- Contribute to frontend work when needed to deliver complete experiences.
What You Bring
- 5+ years of experience designing and building distributed backend systems, microservices, APIs and/or data processing systems written in Python.
- Multiple years of professional experience building system architecture.
- Experience working closely with product managers, designers, and data scientists while independently driving implementation and delivery.
- Previous startup experience or working in an environment where engineers need breadth, sound judgment, and strong problem-solving skills.
- Demonstrated experience turning ambiguous product needs into sound technical architecture and production-ready solutions.
- The ability to navigate complex datasets and interconnected tables to investigate issues, trace dependencies, and identify the right path forward in ambiguous technical situations.
- Working frontend experience with technologies such as React and TypeScript; deep frontend specialization is not required.
- Strong coding fundamentals and the ability to solve technical problems independently, with AI used as an accelerator rather than a substitute for core capabilities.
- A generalist mindset and willingness to work across backend, frontend, pipelines, and infrastructure when the product requires it.
You may be a strong fit if
- Most of your experience is in data-intensive backend engineering, but you have also shipped frontend work.
Actual compensation may vary based on experience, skills, and location.
In addition to your base salary, we offer an equity package, comprehensive healthcare benefits (medical, dental, and vision), and a 401(k) plan. Our team enjoys a flexible PTO policy, 12 company-paid holidays, and 12 weeks of paid parental leave. We also provide a $500 work-from-home stipend to support your remote setup.
Interview Process
The interview process varies by role but typically begins with a 30-minute interview with a Northbeam recruiter, followed by a video interview with the hiring manager. Next, candidates complete a role-specific video interview followed by video or onsite interviews with several team members. The final step is a video interview with our CEO/Co-founder. The entire interview process is usually 5-7 interviews total and requires around 5-8 hours of your time.
We accept applications on an ongoing basis.
About Northbeam
Northbeam is building the world's most advanced marketing intelligence platform, providing top eCommerce brands a unified view of their business data through powerful attribution modeling and customizable dashboards. Our technology helps customers accurately track ad spend, understand the full customer journey, and drive profitable growth. Machine learning has been at the heart of Northbeam since day one: our full suite of measurement, spanning multi-touch attribution, MMM+, and incrementality, is built on it, along with laser-accurate first-party data. Now we're taking that foundation further, using AI to help brands operationalize their data and turn Northbeam insights into automated decisions.
We're experiencing rapid growth, have strong product-market fit, and are looking for the right people to help us scale. This is a rare chance to make a meaningful impact at a fast-moving, high-growth company. At Northbeam, you'll join a team of driven, collaborative, and talented individuals who value personal growth and excellence. We'd love for you to be part of our journey.
We're a remote-friendly company with physical offices in San Francisco and Los Angeles.
About the Role
We're looking for a senior-level software engineer who leans backend and can take product problems from first principles through implementation. You'll spend roughly 70% of your time on backend and distributed systems work and 20–30% on frontend work, giving you the ability to own features across the stack when needed.
You'll help take new products and capabilities from early traction to meaningful scale — designing reliable backend systems while contributing the frontend components required to deliver complete product experiences. This work could include helping expand our new incrementality offering into a scalable experimentation platform, building near real-time data infrastructure or building AI into our marketing user's workflows. You'll have an opportunity to collaborate with a cross-functional team of data scientists, product managers, and designers along the way.
Your Impact
- Scale our new incrementality product into a reliable, repeatable experimentation platform.
- Develop near-real-time ingestion and processing capabilities to move beyond batch workflows.
- Build new AI-powered workflows that help marketers evaluate performance and act on insights.
- Improve connection-state systems and help extend the partner ecosystem across data ingestion and exports.
- Work on other product areas such as role-based access control (RBAC).
- Contribute to frontend work when needed to deliver complete experiences.
What You Bring
- 5+ years of experience designing and building distributed backend systems, microservices, APIs and/or data processing systems written in Python.
- Multiple years of professional experience building system architecture.
- Experience working closely with product managers, designers, and data scientists while independently driving implementation and delivery.
- Previous startup experience or working in an environment where engineers need breadth, sound judgment, and strong problem-solving skills.
- Demonstrated experience turning ambiguous product needs into sound technical architecture and production-ready solutions.
- The ability to navigate complex datasets and interconnected tables to investigate issues, trace dependencies, and identify the right path forward in ambiguous technical situations.
- Working frontend experience with technologies such as React and TypeScript; deep frontend specialization is not required.
- Strong coding fundamentals and the ability to solve technical problems independently, with AI used as an accelerator rather than a substitute for core capabilities.
- A generalist mindset and willingness to work across backend, frontend, pipelines, and infrastructure when the product requires it.
You may be a strong fit if
- Most of your experience is in data-intensive backend engineering, but you have also shipped frontend work.
Actual compensation may vary based on experience, skills, and location.
In addition to your base salary, we offer an equity package, comprehensive healthcare benefits (medical, dental, and vision), and a 401(k) plan. Our team enjoys a flexible PTO policy, 12 company-paid holidays, and 12 weeks of paid parental leave. We also provide a $500 work-from-home stipend to support your remote setup.
Interview Process
The interview process varies by role but typically begins with a 30-minute interview with a Northbeam recruiter, followed by a video interview with the hiring manager. Next, candidates complete a role-specific video interview followed by video or onsite interviews with several team members. The final step is a video interview with our CEO/Co-founder. The entire interview process is usually 5-7 interviews total and requires around 5-8 hours of your time.
We accept applications on an ongoing basis.
See All 24 Python Engineer Jobs in New York
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Find Python Engineer JobsPython Engineer Jobs by City in New York
Where New York roles are concentrated, by current openings.
Python 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
- Banking & Financial Services
- Construction & Real Estate
What New York Employers Look For
The qualifications that appear most often in python engineer jobs across New York.
- Bachelor's or master's degree in computer science, engineering, or a related technical field
- Proficient in Python with hands-on experience in frameworks such as Django, Flask, or FastAPI
- Experience designing and maintaining data pipelines, APIs, or distributed systems at scale
- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure in production environments
- Strong knowledge of SQL and at least one NoSQL database such as PostgreSQL, MongoDB, or Redis
- Ability to write clean, well-tested code and participate in code reviews within an agile team
Python Engineer Jobs in New York: Frequently Asked Questions
How do you become a python engineer in New York?
Python engineering has no state-issued license in New York, so the path runs through education and demonstrated skill. Most New York employers expect a bachelor's degree in computer science, software engineering, or a related field, though strong candidates with a rigorous coding bootcamp background and a solid portfolio do get hired. Building projects in Python, contributing to open-source work, and targeting entry-level or associate engineer postings at New York's large tech and finance firms is the most direct route.
How much do python engineers make in New York?
Python 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 python engineers in New York?
Employers hiring python engineers in New York right now include Citi, Capital One, and JPMorganChase, based on current listings on Migrate Mate as of August 2026. New York's financial sector and its growing concentration of health-tech and media companies mean python engineers here often work on data-intensive platforms and real-time systems rather than consumer apps.
Which New York cities have the most python engineer jobs?
New York and New City have the most python engineer openings in New York. New York City dominates because of its density of financial institutions, media companies, and enterprise technology firms, while Buffalo and Albany generate openings through state government technology initiatives, healthcare systems, and regional financial services operations that increasingly rely on Python-based data tooling.
Are there remote python engineer jobs in New York?
Yes, and more than most fields. About 58% of python engineer openings tied to New York are remote or hybrid as of August 2026, reflecting how well the role translates to distributed work. The positions most likely to be fully remote are those focused on backend API development, data engineering, and machine learning infrastructure, where collaboration happens through code review and asynchronous tools rather than on-site presence.
How can I get hired as a python engineer in New York with little or no experience?
The most realistic entry path is an associate or junior engineer role at a New York employer that runs structured new-grad or rotational programs, such as large financial institutions, healthcare technology companies, or state agency IT departments. Building a portfolio of Python projects on GitHub, earning a cloud certification, and targeting these programs directly improves your odds. Adjacent roles like data analyst, QA engineer, or SQL developer are also common starting points that move into Python engineering over time.
Where can I find and apply to python engineer jobs in New York?
You can find and apply to python engineer jobs in New York on Migrate Mate, which lists current openings tied to New York employers and locations. Search the listings, find roles that match your experience and preferred location or work arrangement, and apply directly to the ones that fit.
See All 24 Python Engineer Jobs in New York
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