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Full Stack Data Engineer Jobs in New York (NOW HIRING)

Patlytics

Full Stack Engineer

New York, NY · On-site

Full Stack Software Engineer About Patlytics: Patlytics is the fastest-growing AI-native patent ... Work on our core backend service, AI platform, and data pipeline service to provide a scalable and ...

talentpluto

Full Stack Engineer

New York, NY · On-site

$250K - $260K/yr

AI Infrastructure / Data Infrastructure / SaaS Compensation: $190,000-$215,000 base salary ... The Opportunity Our partner is hiring Senior Full Stack Engineers to help build the next generation ...

talentpluto

Full Stack Engineer

New York, NY · On-site

$250K - $260K/yr

AI Infrastructure / Data Infrastructure / SaaS Compensation: $190,000-$215,000 base salary ... The Opportunity Our partner is hiring Senior Full Stack Engineers to help build the next generation ...

talentpluto

Full Stack Engineer

New York, NY · On-site

$250K - $260K/yr

AI Infrastructure / Data Infrastructure / SaaS Compensation: $190,000-$215,000 base salary ... The Opportunity Our partner is hiring Senior Full Stack Engineers to help build the next generation ...

Altis

Full-Stack Engineer

New York, NY · On-site

$120K - $240K/yr

Our small, high-ownership Platform Engineering team owns the full-stack systems and agentic ... data pipelines, and observability that power report delivery, interactive Key Debates, search ...

Cross River

Full Stack Engineer

Fort Lee, NJ

$160K - $200K/yr

Design systems for extreme speed, reliability, and real-time data processing under high traffic ... Actively upskill fellow engineers on full-stack best practices, LLM integration patterns, and ...

Claim Health

Full Stack Engineer

New York, NY · On-site

$150K - $200K/yr

Full Stack Engineer Location: NYC (In-Person) Compensation: Competitive salary + meaningful equity ... Dig into disconnected and messy data to create abstractions that allow for operational scale and ...

talentpluto

Senior Full Stack Engineer

New York, NY · On-site

$250K - $260K/yr

Hybrid Industry: B2B SaaS / AI-powered data and automation software Compensation: $210K base ... The Opportunity As a Senior Full Stack Engineer, you will work across the stack, spanning frontend ...

Cross River

Full Stack Engineer

Fort Lee, NJ · On-site

$160K - $200K/yr

Design systems for extreme speed, reliability, and real-time data processing under high traffic ... Actively upskill fellow engineers on full-stack best practices, LLM integration patterns, and ...

Cross River

Full Stack Engineer

Fort Lee, NJ · On-site

The Full Stack Engineer will lead the design and architecture of their LLM-based platform ... Own the strategies for scaling to handle high traffic and complex real-time data processing. • ...

Fanatics

Full Stack Engineer, Growth

Manhattan, NY · On-site

... Full Stack Software Engineer to join their Growth Engineering team. This role focuses on driving ... data integrity and consistency across platforms, including instrumentation, tracking pipelines ...

Novella

Full Stack Engineer

Manhattan, NY · On-site

They are seeking a Full Stack Engineer to be responsible for building all aspects of their product, collaborating with founders, and establishing a strong engineering culture. Responsibilities : • ...

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Showing results 1-20

All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in New York

Full Stack Data Engineer information

See New York salary details

$48.7K

$147.4K

$208.4K

How much do full stack data engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for full stack data engineer in New York is $147,444.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $172,900.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior full stack data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost living areas or within large tech companies. Compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires a combination of technical proficiency, leadership, and industry experience.

What is the difference between Full Stack Data Engineer vs Data Scientist?

AspectFull Stack Data EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields
Work EnvironmentBuild data pipelines, manage databases, develop APIsAnalyze data, create models, generate insights
Industry UsageTech, finance, healthcare, where data infrastructure is keyResearch, analytics, product development teams

Full Stack Data Engineers focus on building and maintaining data infrastructure, integrating data from various sources, and ensuring data availability. Data Scientists analyze data, develop models, and generate insights. While both roles require strong technical skills, Full Stack Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What does a full-stack data engineer do?

A full-stack data engineer designs, develops, and maintains data pipelines, databases, and data processing systems across both backend and frontend components. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and optimized for analysis and application use. This role often requires knowledge of data architecture, ETL processes, and programming skills to support data-driven decision-making.

Can I make 200K as a data engineer?

Full Stack Data Engineers with extensive experience, advanced skills in cloud platforms, and expertise in tools like Spark or Hadoop can potentially earn salaries of $200,000 or more, especially in high-cost-of-living areas or senior roles. Salary levels depend on factors such as location, industry, company size, and individual qualifications.

What are the key skills and qualifications needed to thrive as a Full Stack Data Engineer, and why are they important?

To thrive as a Full Stack Data Engineer, you need strong expertise in data modeling, ETL processes, and proficiency in both backend (e.g., Python, Java) and frontend (e.g., JavaScript, React) development, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and database systems (SQL and NoSQL) is typically required, and certifications in these technologies are advantageous. Excellent problem-solving, communication, and collaboration skills help you bridge gaps between data, development, and business teams. These skills ensure you can design, build, and maintain scalable data solutions that meet organizational needs efficiently.

What engineers make $300,000 a year?

Full Stack Data Engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $300,000 or more annually. High compensation often reflects seniority, specialized knowledge, and leadership roles within organizations. Certifications like AWS or Google Cloud and a strong portfolio can also contribute to higher salaries.

How does a Full Stack Data Engineer typically balance responsibilities between backend data infrastructure and frontend data presentation tasks?

Full Stack Data Engineers are often required to split their time between developing robust backend data pipelines and creating user-facing tools or dashboards that visualize data insights. This dual responsibility means you'll need to prioritize tasks based on project needs, effectively collaborating with data scientists, analysts, and frontend developers. Communication is key, as you'll bridge gaps between technical teams and business stakeholders, ensuring data flows seamlessly from source systems to end users. Over time, many engineers find opportunities to specialize further or move into leadership roles overseeing data architecture and team strategy.

What is a Full Stack Data Engineer?

A Full Stack Data Engineer is a professional who designs, builds, and maintains the entire data pipeline, from data collection and storage to processing and visualization. They work with both the backend infrastructure (such as databases, data warehouses, and ETL processes) and frontend tools (like dashboards or reporting systems) to ensure data is accessible and usable for analytics. Full Stack Data Engineers possess skills in programming, database management, data modeling, cloud platforms, and often data visualization, allowing them to manage every stage of data flow within an organization.
What are popular job titles related to Full Stack Data Engineer jobs in New York? For Full Stack Data Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Full Stack Data Engineer jobs in New York look for? The top searched job categories for Full Stack Data Engineer jobs in New York are:
What cities in New York are hiring for Full Stack Data Engineer jobs? Cities in New York with the most Full Stack Data Engineer job openings:
Full Stack Data Engineer jobs near you
Infographic showing various Full Stack Data Engineer job openings in New York as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $147,444 per year, or $70.9 per hour.

Full Stack Engineer

Patlytics

New York, NY • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago

Job description

Full Stack Software Engineer
About Patlytics:
Patlytics is the fastest-growing AI-native patent intelligence platform, transforming how IP is protected and monetized at scale. Our advanced LLMs and generative AI engine-custom-built for intellectual property-power every phase of the patent workflow from invention disclosure through litigation, delivering citation-backed insights with unprecedented accuracy and speed.
Fresh off our $40M Series B - led by SignalFire, with participation from N47, Myriad Venture Partners, Liquid 2 Ventures, BAM Corner Point, Alumni Ventures, Antiportfolio Ventures and Relativity- allows us to triple down on the product, accelerate growth globally, hire future mission-aligned colleagues, and to continue redefining what is possible for our customers. - we're scaling fast across product, engineering, and go-to-market. If you want to build at the inflection point, this is it.
With teams across the globe we're building a global company fueled by exceptional talent and bold ideas. Our rapid expansion is driven by people who bring entrepreneurial energy, intellectual curiosity, and a shared commitment to setting the global standard for AI-powered IP intelligence. We're creating a culture where diverse perspectives shape breakthrough innovation and every voice contributes to transforming how the world protects ideas.
We hire for trajectory, not just credentials. If you're 70% of this list and hungry to close the gap, apply.
The Role:
As a Full Stack Engineer at Patlytics, you'll own full-stack features end-to-end on a platform used by Fortune 500 legal and IP teams, shipping work that directly shapes how the world's largest companies protect their ideas. You'll collaborate closely with cross-functional teams, including engineers, product managers, and designers, to deliver exceptional user experiences and drive the development of our AI-powered patent software.
As a Full Stack Engineer, you'll:
  • Build features across our Python/FastAPI backend, Next.js frontend, and LLM inference pipeline, each serving millions of patent analysis requests
  • Work on our core backend service, AI platform, and data pipeline service to provide a scalable and stable Patlytics' user experience
  • Work with engineers, product managers, designers, and stakeholders across the company to bring new features and products to Patlytics' customers
  • Collaborate with other engineers to deliver, architect and improve our systems
  • Implement best practices to improve the engineering team's development experience
  • Optimize both frontend and backend applications for maximum speed and scalability, ensuring smooth performance across various components in our tech stack
  • Stay up-to-date with the latest trends and best practices in full stack development, and actively contribute ideas and suggestions to improve our development processes.
  • Recognize impediments to our efficiency as a team ("technical debt"), propose and implement solutions. Have real authority to act on it, not just flag it
  • Participate and solve critical production issues across services and multiple levels of the stack

About you:
  • A strong technical background, with 4+ years of experience in Full Stack and API development within an agile software development team
  • Experience in JavaScript (TypeScript experience preferred)
  • Experience with React (Next.js), TailwindCSS, state management libraries including Redux or Zustand, data fetching libraries including TanStack query or SWR
  • Strong working experience with SQL and Python in production
  • Strong sense of product ownership, with experience driving projects from ideation to completion autonomously
  • Strong interpersonal skills that demonstrate empathy and the ability to distill technical concepts into digestible pieces
  • Strong problem-solving skills and the ability to troubleshoot complex technical issues
  • Ability to work in a fast-paced, start up environment and work with extreme ambiguity to deliver on outcomes

Bonus:
  • Strong technical writing skills
  • Hands on experience working with AI applications
  • Experience developing open source software and developer tools

We offer:
  • Comprehensive health coverage - Medical, dental, vision, plus FSA, commuter benefits, and health advocacy through Rightway
  • Mental health & wellness support - Access to Spring Health and Headspace, plus "Mental Escape Days" to recharge when you need it
  • Immediate 401(k) enrollment - No waiting period to start saving for your future
  • Generous time off - Unlimited PTO, 12 paid company holidays, plus a full week off during our Holiday Break
  • Family-first policies - Paid parental leave to support you during life's biggest moments
  • Invest in yourself - Professional development budget, gym membership stipend, and learning opportunities
  • Celebrate what matters - Birthday and work anniversary recognition, plus generous employee referral bonuses
  • Hybrid work environment (open to remote pending location), while staying connected with a passionate and talented team

Apply