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Full Stack Data Engineer Jobs in East Hanover, NJ

Vice President, Full Stack Engineer We're seeking a future team member for the role of Vice ... Partner with platform, data, product, and business teams to translate complex requirements into ...

Vice President, Full Stack Engineer We're seeking a future team member for the role of Vice ... Partner with platform, data, product, and business teams to translate complex requirements into ...

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 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 ...

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

Full Stack Engineer

New York, NY · On-site

$150K - $200K/yr

Full Stack Engineer Location: NYC (In-Person) Compensation: Competitive salary + meaningful equity ... Dig into disconnected and messy data to create abstractions that allow for operational scale and ...

Full Stack Engineer

New York, NY · On-site

$165K - $230K/yr

Position Summary Join us as a Full-Stack Engineer to design, build, and iterate on ambitious ... Contribute to the roadmap and shape the product direction with data and user feedback. Logistics

Full-Stack Engineer

New York, NY · On-site

$100K - $160K/yr

Datalinx is an AI Data Refinery that transforms messy consumer data into clean, actionable fuel for ... full-stack development with specialization in machine learning, data engineering, and knowledge of ...

Sr Full Stack Engineer

Summit, NJ · On-site

$103.32 - $110.21/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

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 ...

They are seeking a Full Stack Engineer to be responsible for building all aspects of their product, collaborating with founders, and establishing a strong engineering culture. Responsibilities : • ...

The company is seeking a Front End / Full Stack Engineer to help shape user interfaces that handle complex financial data and provide clarity to users. This role involves collaborating closely with ...

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make ... As a Senior Full Stack Engineer, you will play a key role in growing our healthcare data ecosystem ...

Showing results 21-40

Full Stack Data Engineer information

See East Hanover, NJ salary details

$47.3K

$143.2K

$202.3K

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 East Hanover, NJ is $143,151.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,900.00 and $167,800.00 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 East Hanover, NJ?

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

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

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

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

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

Infographic showing various Full Stack Data Engineer job openings in East Hanover, 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 $143,151 per year, or $68.8 per hour.

$115K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago


Key responsibilities

  • Develop and maintain full-stack applications using React, TypeScript, Python, and REST APIs.

  • Develop functional prototypes to validate product concepts and translate designs into working applications.

  • Design, develop, and maintain backend services and API layers supporting data and model integrations.


Job description

Must Have Technical/Functional Skills
Required
• Proficiency in React with experience building web applications through academic, personal, internship, or professional projects.
• Strong Python development skills, including building backend services, REST APIs, and data-processing solutions.
• Experience with TypeScript and/or strong JavaScript fundamentals, including type safety concepts and modern development practices.
• Working knowledge of SQL, including joins, aggregations, CTEs, and window functions.
• Ability to translate wireframes and UX designs into high-quality, responsive front-end applications.
• Strong analytical, problem-solving, and communication skills with the ability to collaborate effectively across teams. Preferred • Experience delivering end-to-end projects, capstones, or applications used by real users.
• Internship or professional experience contributing to production software in a product or engineering environment.
• Familiarity with Figma and collaborating with design teams to implement user experiences.
• Experience building prototypes, internal tools, or data applications using Streamlit or similar technologies.
• Knowledge of Storybook, component libraries, and front-end documentation practices.
• Experience developing backend services using FastAPI, Flask, or similar frameworks.
• Exposure to cloud platforms such as AWS, Azure, or GCP. • Understanding of data warehousing concepts and experience with relational or non-relational databases.
• Experience working with design systems, reusable component frameworks, and UI consistency standards.
Tech Stack & Skillset Core Front-End
• React: components, hooks, props, state able to build from scratch without a tutorial open
• TypeScript / JavaScript: type annotations, async patterns, browser fundamentals
• CSS: layout, responsive design, basic animation comfort translating a design into code
• Testing: unit tests with Jest or equivalent; understanding of why tests exist, not just how to write them
Design & Prototyping
• Figma: able to read and navigate design files; bonus if you have created or annotated them
• Streamlit: rapid prototyping of data-backed surfaces and internal tooling
• Storybook: component documentation and isolated development (familiarity sufficient)
Backend & Data
• Python: FastAPI, Flask, or equivalent for building REST APIs and backend services
• SQL: SELECT, JOIN, GROUP BY, window functions, subqueries comfortable querying a data warehouse independently
• REST API design: data contracts, request/response handling, error patterns
• Basic data pipeline awareness: able to read and understand how data flows from source to surface
Tooling & Environment
• Git: branching, pull requests, code review workflow in a team environment
• Cloud familiarity: GCP, AWS, or Azure at a working or student level
• CI/CD basics: able to run tests, read a build pipeline, and understand deployment concepts
Roles & Responsibilities
Full Stack Developm ent
• Develop and maintain full-stack applications using React, TypeScript, Python, and REST APIs.
• Build end-to-end features spanning user interfaces, backend services, and data integrations.
• Collaborate with data scientists and engineers to surface data and model outputs effectively.
• Own the design, development, testing, and deployment of assigned features.
Functional Prototyping
• Develop functional prototypes to validate product concepts and user requirements.
• Rapidly iterate on solutions based on stakeholder and end-user feedback.
• Translate ideas into working applications that demonstrate business value.
• Support early-stage experimentation and proof-of-concept development.
Component Library Contribution
• Contribute reusable components to a shared enterprise component library.
• Follow established development standards, patterns, and best practices.
• Create documentation and unit tests to support component adoption and maintainability.
• Promote consistency and reusability across applications and products.
Design Collaboration
• Partner with UX/UI designers to translate wireframes and designs into production-ready solutions.
• Participate in design reviews, user feedback sessions, and product discussions.
• Identify technical considerations and implementation constraints early in the design process.
• Collaborate closely with cross-functional teams to deliver intuitive user experiences.
Backend Services & Data Integration
• Design, develop, and maintain backend services and API layers supporting intelligence products.
• Build and manage APIs, data contracts, integrations, and service interactions.
• Integrate applications with data pipelines, analytics platforms, and model outputs.
• Ensure reliable, scalable, and accurate data delivery to user-facing applications.
• Troubleshoot and resolve integration, API, and data-related issues in collaboration with platform and data engineering teams
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $115,000 120,000 a year