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Full Stack Data Analyst Developer Jobs in Woodbridge, NJ

The Role We're looking for a Full Stack Engineer to join a small, high-velocity engineering team ... We built our data infrastructure for AI and analytics from day one -- you'll build features that ...

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 ...

Full Stack Developer Job Summary: We are seeking a talented Full Stack Developer with strong expertise in Java, ReactJS, and AWS to join our growing team. This role will be responsible for designing ...

New

... 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 ...

Full Stack Developer Job Summary: We are seeking a talented Full Stack Developer with strong expertise in Java, ReactJS, and AWS to join our growing team. This role will be responsible for designing ...

New

Full Stack Java Developer

Iselin, NJ · On-site

$53.25 - $68.75/hr

Full Stack Java Developer Location: 3 days hybrid in Iselin, NJ Interview: Onsite Interview is a ... data-heavy, on-demand enterprise applications and guiding software engineers * 5+ years - hands-on ...

Showing results 41-60

Full Stack Data Analyst Developer information

See Woodbridge, NJ salary details

$24

$59

$86

How much do full stack data analyst developer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for full stack data analyst developer in Woodbridge, NJ is $59.83, according to ZipRecruiter salary data. Most workers in this role earn between $49.76 and $68.94 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a full stack data analyst developer, and why are they important?

To thrive as a Full Stack Data Analyst Developer, you need strong analytical skills, proficiency in programming languages like Python or JavaScript, and a solid understanding of both front-end and back-end development, often supported by a degree in computer science, statistics, or related fields. Familiarity with databases (SQL/NoSQL), data visualization tools (such as Tableau or Power BI), and experience with frameworks like React or Django are typically required. Strong problem-solving abilities, effective communication, and adaptability set exceptional professionals apart in this role. These skills are vital for delivering comprehensive, data-driven solutions that bridge technical, analytical, and business needs.

What is a full stack data analyst developer?

A Full Stack Data Analyst Developer is a professional skilled in both data analysis and software development across the entire technology stack. They handle tasks ranging from data collection and cleaning, to building analytical models, and developing applications or dashboards to visualize and interact with data. This role requires proficiency in programming languages, data visualization tools, databases, and analytical techniques. Full Stack Data Analyst Developers are valued for their ability to bridge the gap between data science and software engineering, delivering end-to-end data-driven solutions.

How does a full stack data analyst developer typically collaborate with cross-functional teams on data-driven projects?

Full Stack Data Analyst Developers often work closely with data scientists, business analysts, product managers, and software engineers to deliver end-to-end data solutions. They are responsible for gathering requirements, designing data models, building data pipelines, and developing user-facing dashboards or applications. Effective communication and a collaborative mindset are essential, as the role involves translating business needs into technical solutions and ensuring data integrity throughout the process. Regular meetings, code reviews, and agile methodologies are common practices to align efforts and achieve project goals.

$97K - $182K/yr

Other

Re-posted 21 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.