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

Role Summary We are seeking a highly skilled Senior Data Engineer - Full Stack to build and maintain internal tools, automation frameworks, and workflows that enhance the efficiency, reliability, and ...

New

About the Role We are looking for a product-focused data scientist and developer to join CREW's Platform Team. This person designs and implements data products to enable other CREW teams and to ...

About the Role We are looking for a product-focused data scientist and developer to join CREW's Platform Team. This person designs and implements data products to enable other CREW teams and to ...

... 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 ...

Design APIs, data models, and service architectures that support agentic AI capabilities * Create ... Required 3+ years of professional full-stack engineering experience in early-stage startup ...

Full-Stack Engineer

Manhattan, NY · On-site

$90 - $130/hr

Strategio is seeking a skilled and detail-oriented Full Stack Engineer to join a collaborative, cross-functional Agile team working on modern data-driven applications. In this role, you will design ...

New

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 ...

Full Stack Engineer

Manhattan, NY · On-site

$120 - $160/hr

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 ...

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

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Full Stack Data Engineer information

See Harrison, NJ salary details

$46.6K

$141.2K

$199.5K

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 Harrison, NJ is $141,156.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,300.00 and $165,500.00 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 Harrison, NJ?

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

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

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

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

Cities near Harrison, NJ with the most Full Stack Data Engineer job openings:

Infographic showing various Full Stack Data Engineer job openings in Harrison, NJ as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $141,156 per year, or $67.9 per hour.

Remote | Full-Stack Engineering Consultant $60-$120/hour

24-MAG LLC

Manhattan, NY • Remote

$60 - $120/hr

Part-time

This job post has expired today. Applications are no longer accepted.


Job description

Specialised Part-Time Consulting Opportunity for Full-Stack Engineering ProfessionalsWe are sharing a specialised part-time consulting opportunity for experienced full-stack engineering professionals with strong backgrounds in frontend development, backend systems, API design, database architecture, and modern web application engineering.

This role supports current and upcoming remote consulting opportunities focused on full-stack engineering evaluation, technical scenario review, application architecture, frontend and backend workflows, and production-grade software development practices. Selected professionals may apply experience across user-facing applications, server-side systems, databases, integrations, product logic, and scalable web platforms.

Key ResponsibilitiesProfessionals in this role may contribute to: Review frontend engineering tasks involving React, Angular, Vue, or comparable modern JavaScript frameworksAssess component structure, state management, routing, user interface behaviour, accessibility, and frontend performanceEvaluate user-facing implementation choices for clarity, maintainability, responsiveness, and practical product fitProvide structured feedback on frontend architecture, interaction logic, and application usabilityReview backend engineering scenarios involving Node.js, Django, Spring, or comparable server-side frameworksAssess API design, service logic, authentication flows, data handling, integration patterns, and backend maintainabilityEvaluate REST, GraphQL, RPC, or comparable API approaches for correctness, scalability, and production-readinessIdentify gaps, unclear assumptions, or weak implementation choices in backend workflows and technical scenariosReview relational and NoSQL database scenarios involving schema design, query patterns, indexing, transactions, and data modellingEvaluate how frontend, backend, and database layers interact across real-world application workflowsAssess trade-offs related to performance, consistency, caching, storage design, and maintainabilityProvide feedback on database architecture and full-stack data flow based on hands-on engineering experienceSupport the development, review, or refinement of full-stack engineering tasks and technical deliverablesEvaluate complete application workflows from user interface to backend services and data persistenceProvide clear explanations and feedback based on practical software engineering judgmentHelp ensure outputs reflect real-world full-stack development standards and production application expectationsIdeal ProfileStrong candidates may have: Professional experience in Full-Stack Engineering, Software Engineering, Web Application Development, Product Engineering, or related technical rolesHands-on experience building frontend applications, backend services, APIs, databases, and integrated web platformsStrong familiarity with frontend frameworks such as React, Angular, Vue, Svelte, or comparable technologiesExperience with backend frameworks or environments such as Node.js, Django, Flask, Spring, Ruby on Rails, .NET, or similar toolsPractical knowledge of relational and NoSQL databases, application architecture, authentication, deployment workflows, and service integrationAbility to evaluate technical workflows, identify practical issues, and explain engineering reasoning clearlyStrong written communication skills and comfort working independently in a remote, project-based environmentEducational BackgroundA degree in Computer Science, Software Engineering, Information Systems, Computer Engineering, or a related technical field is helpfulEquivalent professional experience in full-stack development, web application engineering, software architecture, or production software development is also highly relevantNice to HaveExperience with TypeScript, Next.js, Express, NestJS, PostgreSQL, MySQL, MongoDB, Redis, Prisma, GraphQL, or comparable technologiesFamiliarity with cloud platforms, CI/CD pipelines, Docker, Kubernetes, serverless architecture, or deployment automationBackground in product engineering, SaaS platforms, design systems, distributed applications, or high-traffic web productsExperience creating technical documentation, evaluating engineering tasks, mentoring developers, or reviewing software architectureWhy This OpportunityFlexible, remote consulting work aligned with your full-stack engineering expertiseOpportunity to contribute to technical projects involving frontend systems, backend services, APIs, databases, and web application architectureSuitable for experienced professionals who enjoy technical evaluation, structured feedback, and practical engineering problem-solvingProject-based work that can align with part-time availability and remote schedulesContract DetailsIndependent contractor engagementFully remote and flexible schedulingPart-time, project-based availabilityExpected commitment may vary by project, with many opportunities ranging from approximately 15–30 hours per weekCompetitive hourly compensation in the range of $60–$120/hour, depending on project scope, experience, and fitPayments are made weekly via Stripe or Wise based on services renderedProjects may be extended, shortened, adjusted, or concluded based on project needs and performanceCandidates requiring H1-B or STEM OPT sponsorship support are not eligible at this timeWork must not involve sharing confidential or proprietary information from any employer, client, or institutionAbout the PlatformThis opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy.