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

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 ...

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 ...

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 ...

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

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 ...

Thesis

Product Engineer, Full-Stack

New York, NY

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 ...

Pharo Management

Full Stack Developer

New York, NY · On-site

$175K - $200K/yr

This role for a UI/UX-focused engineer who enjoys solving complex problems through clean, user ... Work with SQL Server for relational data and Redis for high-speed caching. * Implement ...

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 ...

Pharo Management

Full Stack Developer

New York, NY · On-site

$175K - $200K/yr

This role for a UI/UX-focused engineer who enjoys solving complex problems through clean, user ... Work with SQL Server for relational data and Redis for high-speed caching. * Implement ...

Maple AI, Inc

Full Stack Engineer

New York, NY · On-site

$120K - $250K/yr

About the role As a Full Stack Engineer , you'll work across our entire stack, from real-time voice ... Design APIs and data models that reflect real-world workflows and logic * Collaborate closely with ...

Next Step Systems

Full Stack Developer

New York, NY · On-site

Full Stack Developer, New York City, NY Have 2 openings. These Full Stack Developer positions are ... Software Engineer, Software Developer, Programming, Programmer Analyst, New York Recruiters ...

Schonfeld

Full Stack Engineer

New York, NY · On-site

$175K - $225K/yr

The Role We're looking for a Full Stack Engineer to join our AI Technology team and play a critical role in building and shaping the firm's internal Generative AI platform. This is a high-impact ...

Schonfeld

Full Stack Engineer

New York, NY · On-site

$175K - $225K/yr

The Role We're looking for a Full Stack Engineer to join our AI Technology team and play a critical role in building and shaping the firm's internal Generative AI platform. This is a high-impact ...

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Showing results 21-40

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

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 Sep 4, 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:

Full Stack Data Engineer jobs near you
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, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $141,276 per year, or $67.9 per hour.

Full Stack Engineer

Willis Re

New York, NY • On-site

$200K - $220K/yr

Full-time

Medical, Retirement, PTO

Re-posted 16 days ago

Job description

Full Stack Engineer
Willis Re is building its global technology estate from the ground up, unencumbered by legacy and designed around data, analytics and modern cloud platforms. We are looking for a Full Stack Engineer to build the products that power our reinsurance broking, analytics and client-facing platforms.
This is a hands-on engineering role for someone who enjoys working across the whole stack and is equally comfortable building conventional services and AI-enabled features. You will work alongside architects, product stakeholders and delivery partners to ship software that brokers and analysts use every day.
Key Responsibilities:
  • Build Across the Stack: Design, build and ship features end to end, from APIs and services through to responsive, accessible user interfaces.
  • Cloud Native Delivery: Develop and run cloud-native applications on Microsoft Azure, using PaaS services, containers and infrastructure-as-code.
  • Data-Driven Features: Consume data through APIs and services to surface it in usable, performant ways for brokers and analysts.
  • AI-Enabled Development: Build AI-enabled product features using patterns such as retrieval-augmented generation, tool and API integration, evaluation and human-in-the-loop design.
  • AI-Assisted Engineering: Use AI-assisted engineering tools such as Claude Code or Claude Cowork as part of your day-to-day workflow, and help the wider team adopt them well.
  • Integration: Integrate with external market platforms, carrier and client systems, and vendor SaaS products using API-first and event-driven patterns.
  • Quality & Security: Practise test-driven development and write secure, maintainable code, applying established security patterns including authentication and authorisation (Entra ID, OAuth 2.0), data protection and privacy from the start.
  • Collaboration: Build to the agreed architectural standards and help shape them, contributing to design discussions, reviewing code from in-house and partner engineers, and mentoring others across a greenfield estate.

About You
You are a pragmatic, hands-on engineer who enjoys a fast-moving, greenfield environment and wants to work across both traditional and AI-native development. Ideally you will bring:
  • Experience: 10+ years of professional software engineering experience, with a track record of shipping and supporting production systems end to end. Experience in insurance, reinsurance or wider financial services is a plus, but not essential.
  • Backend: Strong programming skills in C#/.NET or Python, with solid API design and strong SQL.
  • Frontend: Practical experience building modern user interfaces with React or Angular and TypeScript.
  • Cloud & DevOps: Hands-on experience with Azure, CI/CD tooling such as Azure DevOps or GitHub Actions, and infrastructure-as-code (Terraform).
  • Standards & Security: Experience building to architectural standards and applying common patterns such as microservices, event-driven and API-led design, together with a strong grounding in security patterns (OAuth 2.0, OIDC, Entra ID, RBAC) and secure coding practices.
  • Data: Comfortable working with relational databases and data-heavy application features, with strong SQL and an eye for query performance.
  • AI Development: Experience building with LLMs and AI-enabled solutions, or a clear appetite to learn. Familiarity with agentic patterns, prompt design and evaluation is a significant advantage.
  • Engineering Craft: Fluency in test-driven development and automated testing, an eye for maintainable design, and good judgement about when to keep things simple.
  • Communication: Ability to work closely with product stakeholders and delivery partners, and to explain technical trade-offs clearly.

Compensation
Range: $180,000 - $200,000 - $220,000
Bonus: 20%
The actual salary for this position will be determined by several factors, including the scope, complexity and location of the role; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. In addition to the base salary, this position may be eligible for performance-based incentives.
We offer a competitive total rewards package which includes health and welfare benefits, paid time off, 401K savings and other retirement programs, as well as employee assistance programs.
The actual salary for this position will be determined by several factors, including the scope, complexity and location of the role; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. In addition to the base salary, this position may be eligible for performance-based incentives.
We offer a competitive total rewards package which includes health and welfare benefits, paid time off, 401K savings and other retirement programs, as well as employee assistance programs.
About Willis Re
We combine specialist broking with analytics, modeling and research to help insurers optimize risk transfer, strengthen balance sheets and achieve sustainable growth. Our approach is relationship-driven, transparent and outcome-focused.
At the heart of Willis Re is a focus on delivering the most cutting-edge analytical solutions to enable more informed, better decision-making for risk selection, portfolio optimization, and capital management.
The launch of Willis Re brings a strategic advantage of being unhindered by legacy, an ability to leverage data, statistical models and advanced technologies with the best knowledge and expertise to deliver more efficient and effective reinsurance outcomes. This places Willis Re in a unique position to build a truly analytically driven business, focused on creating solutions for the reinsurance industry that are future led and forward thinking.
Willis Re will also leverage recognized technical expertise from WTW's Insurance Consulting & Technology business including their advanced modeling and analytical capabilities. Alongside this will be WTW's Research Network, an award-winning business supporting and influencing science to improve the understanding and quantification of risk.
Willis Re is committed to embracing a diverse, inclusive, and flexible work environment. We provide equal opportunity to all qualified individuals regardless of race, colour, religion, age, gender, gender expression, national origin, veteran status, disability, orientation, or any other legally protected categories. If you have a need that requires accommodation, please email us at talentacquisition@willisre.com

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