ZipRecruiter

Log In

1

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

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

$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. • ...

Lorven Technologies

Job Title: Full Stack Developer Location: Hanover, NJ * Bachelor's degree in related field ... Work with relational and NoSQL databases for efficient data storage and retrieval * Ensure ...

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 ...

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

Next Step Systems

Full Stack Developer

Weehawken, NJ · On-site

Full Stack Developer, Weehawken, NJ Have 2 openings for the Full Stack Developer opening. These are ... Agile, Software Engineer, Software Developer, Programming, Programmer Analyst, New Jersey ...

Theradex Onoclogy

Lead Full Stack Developer

Princeton, NJ · On-site

$140K - $175K/yr

We are seeking a Lead Full Stack Developer responsible for designing, building and operating end-to-end web applications and data driven solutions that support clinical trial operations. This is a ...

Zortech Solutions

Full Stack Java Developer

Woodbridge, NJ · On-site

$53 - $68.50/hr

Full Stack Java Developer Location: Woodbridge Township New Jersey on W2 Skills: Full Stack: same ... data modeling -Java 8+, Spring Framework, SprintBoot and Microservices -Docker, Kubernetes ...

Peraton

Full-Stack Software Engineer

Red Bank, NJ

$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

$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 ...

next page

Showing results 1-20

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 Jul 29, 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 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 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 July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $136,824 per year, or $65.8 per hour.

Full Stack Engineer

Cross River

Fort Lee, NJ • On-site

$160K - $200K/yr

Other

Re-posted 9 days ago

Job description

Who We Are

Cross River builds the infrastructure behind the world's most innovative financial products. Our technology and capital solutions power payments, cards, lending, and digital asset capabilities that move money safely, instantly, and inclusively - trusted by leading fintechs, enterprises, and disruptors across the globe.

Our mission is simple: to build the financial infrastructure that expands access and opportunity for all. Guided by a culture of collaboration, curiosity, and purpose, Cross River has been named one of American Banker's Best Places to Work in Fintech year after year. Whether you're designing code, solving regulatory puzzles, or developing strategy, you'll join a team where innovation and integrity drive everything we do - and where your work helps shape the future of finance.

What We're Looking For

Cross River Bank is seeking a Senior Full Stack Engineer who thrives at the intersection of intelligent systems and polished product experiences. You'll work across the entire stack from designing React interfaces that surface AI capabilities to engineers and end users, to building the Python and Node.js services that power our LLM-based Agentic platform. A key part of this role is hands-on experience with designing, building, and integrating MCP servers that connect our AI agents to internal tools, financial data systems, and third-party APIs. You'll collaborate closely with product, compliance, and cross-functional engineering teams to build financial technology that's fast, secure, and genuinely intelligent.
Responsibilities:

  • Design, build, and continuously improve our LLM-based Agentic platform. Own end-to-end architecture decisions from model orchestration and prompt design to retrieval pipelines, tool-calling patterns, and evaluation frameworks.
  • Architect and build high-performance services in Python and/or Node.js. Design systems for extreme speed, reliability, and real-time data processing under high traffic conditions.
  • Design and maintain MCP servers that give AI agents structured, secure access to internal banking systems, external APIs, databases, and developer tools making Agentic platform composable and extensible by design.
  • Build intuitive React interfaces that expose AI capabilities like chat interfaces, agentic dashboards, real-time streaming UIs, and internal tooling. Own state management patterns and component architecture at scale.
  • Partner with product managers, business stakeholders, compliance, and engineering teams to translate vision into scalable technical requirements and roadmaps.
  • Design and ensure the platform meets enterprise-grade security and financial regulatory standards.
  • Actively upskill fellow engineers on full-stack best practices, LLM integration patterns, and production of AI systems. Help define coding standards and contribute to a culture of engineering excellence.
  • Evaluate emerging models, frameworks, and tooling. Prototype and integrate the most impactful advances into our platform and internal developer productivity tooling.

 

Qualifications:

  • Hands-on production experience with Large Language Models, prompt engineering, RAG workflows, agent frameworks, and LLM evaluation strategies.
  • Experience building and consuming MCP servers.
  • 5+ years of professional software development with a proven record on complex full-stack systems.
  • Experience with modern JavaScript (ES6+), React, state management (Redux, Zustand, or similar) at scale.
  • Hands-on experience architecting on AWS (DynamoDB, S3, RDS, Lambda, and API Gateway). Knowledge of Infrastructure as Code (Terraform) is a plus.
  • Deep understanding of TDD, CI/CD pipelines, and Agile/Scrum leadership.
  • Ability to debug problems across distributed systems and optimize bottlenecks in real-time data flows.
  • Great communicator with the ability to influence technical direction and manage stakeholder expectations.

#LI-JJ1 #LI-Onsite

Salary Range: $160,000.00 - $200,000.00

Apply