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

... and data engineers to scale a full stack architecture powering our Pacman Platform • While the role primarily caters to our Pacman/Editorial tooling product area • Be a technical leader and ...

Full Stack Software Engineer

New York, NY · On-site

$120K - $200K/yr

About the Role This is a full stack engineering role at an early-stage AI-native consumer ... Design APIs, data models, and service architectures that support agentic AI capabilities. * Create ...

Specializing in advanced analytics, machine learning, data analysis, cybersecurity, and business ... What We are Looking For Aretec is seeking a Full-Stack Engineer to create intuitive the client ...

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 ...

Full Stack Engineer

New York, NY · On-site

$140K - $195K/yr

Full Stack Engineer If you are the engineer who naturally takes ownership of the problems that do ... You will help build the data, underwriting, and accountability infrastructure behind homebuilder ...

New

Full Stack Engineer

New York, NY · On-site

$140K - $195K/yr

Full Stack Engineer If you are the engineer who naturally takes ownership of the problems that do ... You will help build the data, underwriting, and accountability infrastructure behind homebuilder ...

New

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 ...

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 ...

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 ...

Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

Data Engineer (Financial background) Location: Newark, NJ Hybrid Locals only Duration: 12 months ... Develop software using React, Spring Boot, Node.js within full-stack environments such as MERN/MEAN.

New

Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

Data Engineer (Financial background) Location: Newark, NJ Hybrid Locals only Duration: 12 months ... Develop software using React, Spring Boot, Node.js within full-stack environments such as MERN/MEAN.

New

You take that context and make it real: well-architected, reliable software that handles messy data ... Deep full-stack engineering fundamentals. You have shipped production software across React and ...

Full-Stack Software Engineer Location: New York City Employment Type: Full-time Experience: New grad to 2 years Focus: Full-Stack Engineering, AI Coding Tools, Internal Tooling, Healthcare AI About ...

Full-Stack Software Engineer Location: New York City Employment Type: Full-time Experience: New grad to 2 years Focus: Full-Stack Engineering, AI Coding Tools, Internal Tooling, Healthcare AI About ...

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Showing results 1-20

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 Sep 4, 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 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.

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 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 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 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:

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, 81% Full Time, 13% Part Time, 1% Temporary, and 4% 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

ExlService Holdings, Inc.

Jersey City, NJ • On-site

Full-time

Posted 20 days ago


ExlService Holdings rating

7.8

Company rating: 7.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

138th of 500 rated business services


Job description


Key Responsibilities:
  • Collaborate with cross-functional teams to gather, analyze, and refine requirements, aligning technical solutions with business objectives.
  • Develop robust front-end applications using Angular and back-end services primarily in Python and Java.
  • Architect, implement, and manage CI/CD pipelines
  • Design and maintain efficient data pipelines for GenAI model training and inference.
  • Troubleshoot and resolve issues across the full stack and AI integrations to ensure high
  • Keep abreast of latest advancements in Full-stack technologies, and cloud platforms.
  • Lead and mentor development teams, promoting best practices and continuous improvement.

Must-Have Skills:
  • Proficiency in Python and Angular with strong full-stack development experience.
  • Solid knowledge of Java and experience with backend frameworks like Spring, Flask, or Django.
  • Experience working with cloud platforms, especially AWS services
  • Solid experience with SQL and NoSQL databases.
  • Familiarity with Agile/Scrum methodologies and end-to-end SDLC..

Good-to-Have Skills:
  • Experience with other front-end frameworks such as React or Vue.js.
  • Knowledge of Node.js or other backend technologies.
  • Prior involvement in release/change management processes.
  • Exposure to data engineering concepts and building data pipelines
  • Experience working in highly regulated or enterprise environments.

The posted range is the hiring range for this role - a subset of the broader range available to employees over time - and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.
Responsibilities
Key Responsibilities:
  • Collaborate with cross-functional teams to gather, analyze, and refine requirements, aligning technical solutions with business objectives.
  • Develop robust front-end applications using Angular and back-end services primarily in Python and Java.
  • Architect, implement, and manage CI/CD pipelines
  • Design and maintain efficient data pipelines for GenAI model training and inference.
  • Troubleshoot and resolve issues across the full stack and AI integrations to ensure high
  • Keep abreast of latest advancements in Full-stack technologies, and cloud platforms.
  • Lead and mentor development teams, promoting best practices and continuous improvement.

Must-Have Skills:
  • Proficiency in Python and Angular with strong full-stack development experience.
  • Solid knowledge of Java and experience with backend frameworks like Spring, Flask, or Django.
  • Experience working with cloud platforms, especially AWS services
  • Solid experience with SQL and NoSQL databases.
  • Familiarity with Agile/Scrum methodologies and end-to-end SDLC..

Good-to-Have Skills:
  • Experience with other front-end frameworks such as React or Vue.js.
  • Knowledge of Node.js or other backend technologies.
  • Prior involvement in release/change management processes.
  • Exposure to data engineering concepts and building data pipelines
  • Experience working in highly regulated or enterprise environments.

The posted range is the hiring range for this role - a subset of the broader range available to employees over time - and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.
Qualifications
bachelors degree in engineering, computer science or related field

What ExlService Holdings employees say

Pay

Hours and flexibility

Workplace

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