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

Peraton

Full-Stack Software Engineer

Red Bank, NJ · On-site

$104K - $166K/yr

Responsibilities Peraton Labs is seeking an experienced Full-Stack Software Engineer to join an ... CesiumJS) or real-time data streaming * Experience with C/C++ and embedded development * Experience ...

Peraton

Full-Stack Software Engineer

Red Bank, NJ · On-site

$104K - $166K/yr

Responsibilities Peraton Labs is seeking an experienced Full-Stack Software Engineer to join an ... CesiumJS) or real-time data streaming * Experience with C/C++ and embedded development * Experience ...

Peraton

Full-Stack Software Engineer

Red Bank, NJ · On-site

$104K - $166K/yr

Responsibilities Peraton Labs is seeking an experienced Full-Stack Software Engineer to join an ... CesiumJS) or real-time data streaming * Experience with C/C++ and embedded development * Experience ...

CGI Inc.

AI Full Stack Developer

New Brunswick, NJ · On-site

  • Retirement

  • PTO

S. - What we do matters By playing this video you consent to Google/YouTube processing your data and using cookies - Learn more. Position Description: CGI is seeking an AI Full Stack Developer to ...

Tata Consultancy Service Limited

.Net Full Stack

Pennington, NJ · On-site

$95K - $115K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Minimum 10 years Roles & Responsibilities Highly skilled Full Stack Developer with hands-on ... data models and queries o Integrate third-party APIs and enterprise systems. 5. Quality & DevOps o ...

Reailize

Full Stack AI Developer

Middletown, NJ · On-site

... data, and cloud . By combining deep expertise, advanced engineering, and patented software, we ... About the Role We are looking for an Full Stack AI Developer to design, build, and deploy ...

BNY Mellon

Vice President, Full-Stack Engineer

Jersey City, NJ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The role requires close collaboration with cross-functional teams including Engineering, Data ... Lead the design and development of full-stack applications by utilizing industry best practices and ...

BNY

Vice President, Full-Stack Engineer

Jersey City, NJ

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The role requires close collaboration with cross-functional teams including Engineering, Data ... Lead the design and development of full-stack applications by utilizing industry best practices and ...

Socket.dev

Senior JAVA Full Stack Software Engineer

Whippany, NJ · On-site

$130 - $150/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

MetLife Investments is seeking a Senior Full Stack Engineer. The ideal candidate will possess ... API-driven solution stack, data processing, reactive architecture * DevOps pipelines, and/or ...

DHD Consulting

Full Stack Developer

Secaucus, NJ · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Full Stack Developer We are looking for a full stack developer who is eager to work with cutting-edge technologies and architectures in a forward-thinking company that consistently pushes the limits.

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Showing results 21-40

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

Full Stack Data Engineer information

See New Jersey salary details

$45.2K

$136.8K

$193.4K

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

As of Aug 16, 2026, the average yearly pay for full stack data engineer in New Jersey is $136,824.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,700.00 and $160,400.00 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 New Jersey?

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

What job categories do people searching Full Stack Data Engineer jobs in New Jersey look for?

The top searched job categories for Full Stack Data Engineer jobs in New Jersey are:

What cities in New Jersey are hiring for Full Stack Data Engineer jobs?

Cities in New Jersey 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 Jersey as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $136,824 per year, or $65.8 per hour.

Full Stack Developer - AI

GREATER NEW YORK MUTUAL INSURANCE COMPANY

Edison, NJ • On-site

$97K - $182K/yr

Other

Re-posted 23 days ago

Job description

Remote position with the ability to travel to our NJ and NY locations up to 25% of the time.
Position Summary: Full Stack AI Developer to support enterprise AI initiatives across underwriting, claims, operations, and digital platforms. This role combines full-stack software engineering with applied AI/ML and Generative AI development, including Large Language Models (LLMs), Multi-agent system design, and intelligent automation.
Essential Duties and Responsibilities:
  • Design and develop full-stack AI-enabled applications using Python, React/Next.js, and REST/GraphQL APIs.
  • Build and integrate Generative AI solutions including copilots, document intelligence, and conversational workflows.
  • Implement agentic AI patterns, RAG architecture, MCP servers and workflow orchestration.
  • Develop scalable backend services and microservices.
  • Implement parameter-efficient fine-tuning (PEFT) techniques like LoRA/MLoRA.
  • Implement MLOps/LLMOps pipelines with CI/CD using Azure DevOps.
  • Deploy and manage AI applications on Azure Cloud.
  • Ensure security, compliance, and responsible AI practices.
  • Mentor junior developers and conduct code reviews.
  • Participate in code reviews and provide mentorship to junior developers.

Education and Experience:
  • Bachelor's or Master's degree in Computer Science, Information Systems, or related field; or equivalent training/experience required.
  • 5+ years of experience in full-stack development (Python, React, .NET, SQL, PostgreSQL) required.
  • 3+ years of experience with Generative AI and Agentic AI architecture required.
  • Experience with AI/ML frameworks and cloud-based AI services required.
  • AI and Cloud certifications preferred.
  • Experience in the insurance industry is strongly preferred.
Skills:
  • Proficiency in Python, React, .NET (Framework/Core), SQL, PostgreSQL.
  • Multi-agent system design (agent orchestration, planning, coordination, tool invocation)
  • Experience with Azure DevOps, Azure Foundry, and Azure Cloud services
  • Implementation experience of RESTful & event-driven architectures, and container technologies (Docker/Kubernetes).
  • Experience with RAG architectures, techniques like LoRA/mLoRA and MCP Servers
  • Familiarity with DevOps practices.
  • Knowledge of data integration, ETL processes, and data governance frameworks.
  • Experience with Agile/Scrum methodologies.
  • Excellent problem-solving, troubleshooting, and documentation skills.
  • Strong oral and written communication skills with a customer service focus.

The salary range for this role is $97,300-$182,500. The listed annual salary range posted for this position is subject to change and may vary depending on performance, education, experience, skills, geographic location, travel requirements, demonstrated proficiency in the competencies required for the role and business needs. Base pay is just one component of GNY's total compensation package for employees. Other rewards include eligibility for an annual discretionary bonus based on performance.

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