ZipRecruiter

Log In

1

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

Datalinx AI

Senior Full-Stack Engineer

Manhattan, NY · On-site

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

AgileEngine

Full Stack Engineer ID80989

Manhattan, NY · On-site +1

You will contribute to AI and LLM-adjacent codebases, work with sensitive regulated data, and ... engineers. WHAT YOU WILL DO - Build and maintain full-stack features across the frontend using ...

Clerkie

Full-Stack Engineer

New York, NY · Remote

$90/hr

About the role We're looking for a Full-Stack engineer who wants to build, own, and ship end-to-end ... Experience working on data-intensive or complex applications * Familiarity with fintech or ...

Willis Re

Full Stack Engineer

New York, NY · On-site

$200K - $220K/yr

Full Stack Engineer Willis Re is building its global technology estate from the ground up ... Data-Driven Features: Consume data through APIs and services to surface it in usable, performant ...

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

Sciemo

Full Stack Engineer

New York, NY · On-site

$150K - $300K/yr

... data into measurable business impact. Its AI agents assist decision-makers in real-time, turning ... ROLE As a Full Stack Engineer, you will build and own major parts of our product - from the ...

Pickle

Full Stack Engineer

New York, NY · On-site

$150K - $250K/yr

About the role This is a full-stack engineering role at the center of how Pickle works. You will ... Data & Architecture * Design and evolve Postgres schemas. * Write efficient queries and optimize ...

Teladoc

Full-Stack Software Engineer

New York, NY

$235K/yr

Teladoc Health Inc. seeks Senior, Full Stack Software Engineer at its facility located at 155 E ... ensure data integrity and performance. 5% Create and optimize complex backend algorithms and ...

New

Thesis

Product Engineer, Full-Stack

New York, NY · On-site

About the role We are looking for a product-minded Full-Stack Software Engineer to help design ... data flows. * Build end-to-end features: Lead the full lifecycle of feature development, from ...

Elisity Inc.

Full Stack AI Engineer

Union, NJ · On-site

This is a hands-on engineering role focused on system design, data correctness, and production ... Full Stack AI Engineer Location: EU-Based, fully remote |Type: Contract B2B We\u2019re looking for ...

Siri InfoSolutions Inc

Cloud Full Stack Engineer

Raritan, NJ · On-site

$57 - $76.25/hr

Support analytics, data engineering, and enterprise application platforms. DevOps, Automation & CI ... Full Stack Application Development Develop modern frontend applications using React. Integrate ...

previous page

Showing results 41-60

All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in Edison, NJ

Full Stack Data Engineer information

See Edison, NJ salary details

$46.1K

$139.5K

$197.2K

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 Edison, NJ is $139,522.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,900.00 and $163,600.00 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 Edison, NJ?

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

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

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

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

Cities near Edison, NJ 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 Edison, NJ as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $139,522 per year, or $67.1 per hour.

Senior Full-Stack Engineer

Datalinx AI

Manhattan, NY • On-site

Full-time

Re-posted 3 days ago

Job description

Job Summary:
Datalinx AI is an AI Data Refinery that transforms messy consumer data into clean, actionable fuel for AI applications and innovation. As a founding engineer, you will design, develop, and implement end-to-end data and AI solutions that support client business outcomes through a secure, scalable data integration solution.
Responsibilities:
• Design, develop, and maintain secure, scalable implementation of the Datalinx product.
• Build AI-driven agentic solutions using frameworks like LangGraph, designing effective prompt engineering strategies for reliable agent performance.
• Integrate AI agents with client data systems (Databricks, Snowflake) for intelligent query and data retrieval.
• Develop tools that automate domain-specific ML model training processes (clustering, churn prediction, personalization, anomaly detection) to help create lift for our customer’s business.
• Ensure secure authentication, authorization, and data governance compliance across all data integration and AI solutions.
• Implement observability, monitoring, and continuous improvement for data pipelines and AI agent workflows.
• Collaborate closely with client teams and other engineering disciplines to enable business success for customers.
• Document best practices for deployment and usage of Datalinx to assist customers.
Qualifications:
Required:
• 10+ years of combined experience in full-stack development with specialization in machine learning, data engineering, and knowledge of agentic application design.
• Strong proficiency in Python, Golang and SQL, with hands-on experience using PostgreSQL.
• Expertise in building integrations to Databricks (REST APIs, Delta Lake operations) and Snowflake (connectors, Snowpark, query optimization).
• Experience with popular data engineering tools like dbt.
• Proficiency with LLMs and hands-on experience with AI agent frameworks (e.g., LangGraph, Autogen).
• Proficiency with machine learning libraries such as Scikit-learn, and expertise in unsupervised/supervised ML techniques for pattern recognition.
• Experience with enterprise data workflows, including handling both unstructured and structured datasets.
• Knowledge of data pipeline orchestration tools (e.g., Apache Airflow, Dagster, dbt).
• Familiarity with data governance, security, and best practices in cloud environments.
• Strong problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment.
Company:
Datalinx AI provides a platform that cleans, transforms, enriches, and monitors data to enable accurate AI insights and automated workflows. Founded in 2025, the company is headquartered in New York, USA, with a team of 2-10 employees. The company is currently Early Stage.

Apply