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

Data Engineer

New York, NY · On-site

$125K - $150K/yr

About the Role We're hiring a technical Data Engineer to own our full data stack - from database architecture and pipelines to instrumenting telemetry and owning integrations and reporting. You'll ...

Full-Stack Software Engineer

New York, NY · On-site

$120K - $160K/yr

Design APIs, data models, and service architectures that support agentic AI capabilities * Create ... full-stack engineering experience in early-stage startup environments, building and shipping ...

Design APIs, data models, and service architectures that support agentic AI capabilities * Create ... full-stack engineering experience in early-stage startup environments, building and shipping ...

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

$250K - $260K/yr

AI Infrastructure / Data Infrastructure / SaaS Compensation: $190,000-$215,000 base salary ... The Opportunity Our partner is hiring Senior Full Stack Engineers to help build the next generation ...

Full Stack Engineer

New York, NY · On-site

$250K - $260K/yr

AI Infrastructure / Data Infrastructure / SaaS Compensation: $190,000-$215,000 base salary ... The Opportunity Our partner is hiring Senior Full Stack Engineers to help build the next generation ...

Full Stack Engineer

New York, NY · On-site

$250K - $260K/yr

AI Infrastructure / Data Infrastructure / SaaS Compensation: $190,000-$215,000 base salary ... The Opportunity Our partner is hiring Senior Full Stack Engineers to help build the next generation ...

Full-Stack Engineer

New York, NY · On-site

$120K - $240K/yr

Our small, high-ownership Platform Engineering team owns the full-stack systems and agentic ... data pipelines, and observability that power report delivery, interactive Key Debates, search ...

You take that context and make it real: well-architected, reliable software that handles messy data ... Deep full-stack engineering fundamentals. You have shipped production software across React 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 ...

Work with data scientists and analysts to improve software Requirements * Proven experience as a Full Stack Developer or similar role * Experience developing desktop and mobile applications

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 ...

The Role We're looking for a Full Stack Engineer to join our team. In your day-to-day work, you'll be responsible for building all aspects of our product, from discussing big ideas to debugging ...

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Showing results 1-20

Full Stack Data Engineer information

See Princeton, NJ salary details

$46.6K

$141.3K

$199.7K

How much do full stack data engineer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for full stack data engineer in Princeton, NJ is $141,276.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,400.00 and $165,600.00 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 Princeton, NJ?

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

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

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

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

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

Infographic showing various Full Stack Data Engineer job openings in Princeton, NJ as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $141,276 per year, or $67.9 per hour.

Data Engineer

New York, NY • On-site

Cognition
1 - 10 employees

$125K - $150K/yr

Full-time

Re-posted yesterday


Job description

We are an applied AI lab building end-to-end software agents.
We're the makers of Devin, the first AI software engineer.
Our team is extremely talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.
Building Devin is just the first step-our hardest challenges still lie ahead. If you're excited to solve some of the world's biggest problems and build AI that can reason on real-world tasks, apply to join us.
About the Role
We're hiring a technical Data Engineer to own our full data stack - from database architecture and pipelines to instrumenting telemetry and owning integrations and reporting. You'll design and maintain the systems that keep our data reliable, accessible, and actionable across the company. There are multiple openings across various teams: GTM, Core Product, and Finance.
In this role you will:
  • Design and manage database architecture and data models
  • Build and maintain ETL/ELT pipelines and orchestration workflows
  • Create and manage new data integrations across internal and external systems
  • Own business reporting: datasets, dashboards, metrics, and self-serve analytics
  • Ensure data quality, observability, governance, and documentation

Requirements for the role:
  • 4+ years in a data engineering, data science, or full-stack data role
  • Expert on SQL and Python (required)
  • Experience with data modeling, warehouse architecture, and BI-oriented schema design
  • Hands-on experience with ETL/ELT tools (dbt, Airflow, Dagster, etc.)
  • Experience building or maintaining BI reporting (Metabase a plus)
  • Experience developing scalable backend heavy applications
  • Strong knowledge of statistics and experimentation
  • Based in SF or NYC
Equal Opportunity
Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.