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Full Stack Data Engineer Jobs in Edison, NJ (NOW HIRING)

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 : • ...

Novella

Full Stack Engineer

New York, NY · On-site

The Role We're looking for a Full Stack Engineer to join our team. In your day-to-day work, you'll be responsible for building all aspects of our product, from discussing big ideas to debugging ...

Wfnqav17T5

Full Stack Developer

New York, NY · On-site

Work with data scientists and analysts to improve software Requirements * Proven experience as a Full Stack Developer or similar role * Experience developing desktop and mobile applications

NOUS RESEARCH

Full Stack Engineer

New York, NY · On-site

Work across the organization owning full-stack engineering on Nous Portal, Hermes Agent, and the products built around them. Responsibilities: * Own software end-to-end across stacks, from managed ...

Moment

Front End / Full Stack Engineer

Manhattan, NY · On-site

The company is seeking a Front End / Full Stack Engineer to help shape user interfaces that handle complex financial data and provide clarity to users. This role involves collaborating closely with ...

Datavant

Senior Full Stack Engineer

New York, NY

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make ... As a Senior Full Stack Engineer, you will play a key role in growing our healthcare data ecosystem ...

The Cypress Group

Full Stack Developer

New York, NY · Hybrid

$110K - $150K/yr

Software Engineer - Full Stack (Python/web framework) About the Opportunity A leading global ... Git * Strong understanding of software design, data structures, and algorithms. * Experience ...

Willis Re

Full Stack Engineer

New York, NY · On-site

$200K - $220K/yr

Full Stack Engineer Willis Re is building its global technology estate from the ground up ... Data-Driven Features: Consume data through APIs and services to surface it in usable, performant ...

Datalinx AI

Senior Full-Stack Engineer

Manhattan, NY · On-site

Datalinx AI is an AI Data Refinery that transforms messy consumer data into clean, actionable fuel ... full-stack development with specialization in machine learning, data engineering, and knowledge of ...

NextDeavor Inc.

Senior Full Stack Engineer

New York, NY · Hybrid

$160K - $180K/hr

Senior Full Stack Engineer Full-time New York City, NY, US Exclusive confidential search -- details ... Experience building data-dense or enterprise applications * Experience with design systems

Clerkie

Full-Stack Engineer

New York, NY · Remote

$90/hr

About the role We're looking for a Full-Stack engineer who wants to build, own, and ship end-to-end ... Experience working on data-intensive or complex applications * Familiarity with fintech or ...

Pickle

Full Stack Engineer

New York, NY · On-site

$150K - $250K/yr

About the role This is a full-stack engineering role at the center of how Pickle works. You will ... Data & Architecture * Design and evolve Postgres schemas. * Write efficient queries and optimize ...

Navtech, Inc.

Full Stack Developer

Livingston, NJ · On-site

I have an opportunity for "Full Stack Developer" and looking for a candidate who can join ... data Writing Node.js Web APIs using Express Git & GitHub for Version Control Best Regards Syed ...

AgileEngine

Full Stack Engineer ID80989

Manhattan, NY · On-site

You will contribute to AI and LLM-adjacent codebases, work with sensitive regulated data, and ... engineers. WHAT YOU WILL DO - Build and maintain full-stack features across the frontend using ...

Brooksource

Sr Full Stack Engineer

Summit, NJ · On-site

$75 - $80/hr

Utilize Python for data manipulation and processing tasks * Apply GenAI prompt engineering ... full stack engineering experience with strong breadth across backend, middle tier, and frontend

MLabs

Junior Full Stack Engineer

New York, NY · On-site

Full Stack Development: Work across the entire stack-from backend services and complex data ... A deep dive into engineering fundamentals, full stack proficiency, and problem-solving capabilities.

Siri InfoSolutions Inc

Cloud Full Stack Engineer

Raritan, NJ · On-site

$57 - $76.25/hr

Support analytics, data engineering, and enterprise application platforms. DevOps, Automation & CI ... Full Stack Application Development Develop modern frontend applications using React. Integrate ...

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Showing results 21-40

All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in Edison, NJ

Full Stack Data Engineer information

See Edison, NJ salary details

$46.1K

$139.5K

$197.2K

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

As of Aug 14, 2026, the average yearly pay for full stack data engineer in Edison, NJ is $139,522.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,900.00 and $163,600.00 per year, depending on experience, location, and employer.

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 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.

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 Edison, NJ?

For Full Stack Data Engineer jobs in Edison, NJ, the most frequently searched job titles are:

What job categories do people searching Full Stack Data Engineer jobs in Edison, NJ look for?

The top searched job categories for Full Stack Data Engineer jobs in Edison, NJ are:

What cities near Edison, NJ are hiring for Full Stack Data Engineer jobs?

Cities near Edison, NJ 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 Edison, NJ as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $139,522 per year, or $67.1 per hour.

Full Stack Engineer, Growth

Fanatics

Manhattan, NY • On-site

Full-time

Re-posted 18 days ago

Fanatics rating

6.7

Company rating: 6.7 out of 10

Based on 68 frontline employees who took The Breakroom Quiz

211th of 733 rated retailers

Job description

Job Summary:
Fanatics is building a leading global digital sports platform, and they are seeking a Full Stack Software Engineer to join their Growth Engineering team. This role focuses on driving user acquisition, engagement, retention, and experimentation across various platforms, requiring the design and delivery of scalable full stack solutions.
Responsibilities:
• Design, build, test, deploy, and maintain full stack features that drive user growth, engagement, and conversion across Topps, Fanatics Live, and Fanatics Collect.
• Develop scalable frontend and backend solutions using modern web technologies and engineering best practices.
• Ensure analytics data integrity and consistency across platforms, including instrumentation, tracking pipelines, attribution, and validation frameworks.
• Design and implement experimentation capabilities such as A/B testing frameworks, feature flags, and growth experimentation tooling.
• Partner cross-functionally with Product, Data Science, Analytics, and Marketing teams to translate growth hypotheses into scalable technical solutions.
• Optimize web and mobile experiences with a focus on performance, usability, reliability, and measurable business outcomes.
• Identify and resolve issues impacting data quality, experimentation accuracy, and reporting reliability.
• Participate in system design discussions and contribute to architectural decisions that improve scalability and engineering velocity.
• Contribute to shared platform capabilities supporting cross-product growth initiatives.
• Participate in code reviews, operational support, technical documentation, and continuous improvement initiatives.
• Mentor junior engineers through collaboration, technical guidance, and engineering best practices.
Qualifications:
Required:
• 5+ years of professional experience building and scaling modern web applications across frontend and backend systems.
• Strong proficiency in full stack development using technologies such as JavaScript/TypeScript, React, Node.js, or equivalent modern frameworks.
• Experience designing and maintaining analytics tracking systems, event instrumentation, attribution pipelines, and experimentation tooling.
• Experience building scalable APIs, distributed systems, and performant consumer-facing applications.
• Familiarity with A/B testing frameworks, experimentation platforms, and feature flagging systems.
• Strong understanding of system architecture, API design, observability, and performance optimization.
• Experience collaborating cross-functionally with Product, Analytics, Data Science, and Marketing stakeholders.
• Ability to independently drive technical solutions from design through production deployment.
• Strong debugging, problem-solving, and communication skills.
• Bachelor’s degree in Computer Science, Engineering, or related technical field, or equivalent practical experience.
Preferred:
• Experience working on Growth Engineering or product growth-focused teams.
• Familiarity with tools such as Segment, Amplitude, Snowflake, or similar analytics and experimentation platforms.
• Experience building for mobile platforms, including React Native, native mobile applications, or mobile web optimization.
• Experience supporting high-traffic consumer-facing platforms with rapid experimentation cycles.
• Interest in collectibles, live commerce, fan engagement, or marketplace platforms.
Company:
Fanatics is a global sports platform reimagining the fan experience across gear, trading cards, sports betting, content, events, and more. Founded in 2011, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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