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Full Stack Data Engineer Jobs in Maple Shade, NJ

RCH Solutions

Full Stack Engineer

Wayne, PA · On-site

RCH Solutions is seeking a Full Stack Engineer with a strong data visualization focus who will be instrumental in the continued investment in discovery research. We are currently seeking an ...

Next Step Systems

Full Stack Developer

Philadelphia, PA · On-site

... Engineer, Software Development, Programmer Analyst, Programming, Pennsylvania Recruiters, IT Jobs, Pennsylvania Recruiting Looking to hire for similar positions in Philadelphia, PA or in other cities?

Xactus

Full Stack Engineer

Broomall, PA · On-site +1

SUMMARY: The Full Stack Engineer is a hands-on software developer responsible for building ... Working knowledge of SQL Server, including queries, stored procedures, data analysis, and database ...

Rapinno Tech

Sr. Full Stack Developer

Malvern, PA · Hybrid

Previous VG experience and knowledge of AWS services would be plus Full stack Java developer- Senior - REST service development using Jersey and Spring, Spring data JPA - Worked on databases such as ...

Xactus

Senior Full Stack Engineer

Broomall, PA · On-site +1

The Senior Full Stack Engineer is a senior individual contributor responsible for designing ... Own complex database-related development tasks, including SQL Server schema changes, data updates ...

TMS

Full Stack Java Developer

Fort Washington, PA · On-site

$65 - $70/hr

Senior Software Engineer (Java Full Stack) Location: Fort Washington, PA (Hybrid) Experience: 6 to 10 years Job Summary: We are seeking a highly skilled and adaptable Full Stack Developer with deep ...

Mondo

Sr. Software Engineer (Full Stack)

Horsham, PA · Remote

$60 - $65/hr

Apply now: Sr. Software Engineer (Full Stack) , Remote (EST Hours Required). Start date is ASAP for this Contract-to-Hire position. Job Title: Sr. Software Engineer (Full Stack) Location-Type: Remote ...

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Showing results 1-20

All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in Maple Shade, NJ

Full Stack Data Engineer information

See Maple Shade, NJ salary details

$44.3K

$134.1K

$189.6K

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

As of Aug 28, 2026, the average yearly pay for full stack data engineer in Maple Shade, NJ is $134,135.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $157,300.00 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 Maple Shade, NJ?

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

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

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

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

Cities near Maple Shade, 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 Maple Shade, NJ as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $134,135 per year, or $64.5 per hour.

Full Stack Engineer

RCH Solutions

Wayne, PA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Core Values
At RCH, our Core Values are more than just words—they represent the threads that weave together the fabric of our culture. Used as a guide when interviewing new team members; as a barometer when evaluating our performance as individuals and teams, and even when deciding which customers to work with, RCH’s Values embody the behaviors upon which we measure our success and create a framework for our growth as people and professionals.
Our Core Values:
  • Embrace Excellence: We strive for best-in-class delivery of innovation and service.
  • Be Accountable: Integrity, ownership and accountability are non-negotiables.
  • Adventure Together: We are committed to fostering a culture that embraces continuous improvement.
  • Succeed as a Team: We believe harnessing the power of a team drives outcomes not achievable by individuals.
  • Boundaries and Balance: Work-life balance is a core facet of our culture.
If you share in our core values, then we encourage you to continue reading this posting as you may have found a great home for your career.
Job Description
RCH Solutions is seeking a Full Stack Engineer with a strong data visualization focus who will be instrumental in the continued investment in discovery research. We are currently seeking an outstanding engineer with modern full-stack TypeScript development skills and proven experience turning complex scientific and analytical data into clear, performant, interactive interfaces. Using a broad range of front-end engineering, visualization, and cloud data methods, the successful individual will continue to evolve growing initiatives for data exploration, visualization, and self-service analytics to enable the scientific community.
The successful candidate will partner closely with data scientists, product stakeholders, and platform engineers to translate analytical requirements into production-quality applications. This is a hands-on build role: expertise in Next.js and React, thoughtful UI and product design instincts, and comfort working directly against cloud data warehouses are highly desired.
Role and Responsibilities
  • Design, build, and maintain full-stack TypeScript applications using Next.js, React, and MUI
  • Develop rich, interactive data visualizations with D3.js, from exploratory prototypes through to production components
  • Work directly with data scientists to scope, refine, and deliver tailored visualization requirements
  • Query, model, and surface data from GCP services, primarily BigQuery and Google Cloud Storage (GCS)
  • Contribute to and extend the TEP design system, ensuring visual and interaction consistency across applications
  • Write and maintain unit tests and browser-based end-to-end tests using Playwright
  • Ship features through the existing Docker / Cloud Run deployment pipeline
  • Apply AI coding tools (GitHub Copilot, Claude, etc.) within the established AI coding guardrails to accelerate delivery without compromising code quality
  • Participate in code review, technical design discussions, and iterative product refinement
  • Balance product and engineering concerns, contributing UI/UX input rather than waiting on fully specified designs
Essential Requirements
  • Professional full-stack development in TypeScript across both client and server
  • Production experience with Next.js and React
  • Hands-on experience building custom data visualizations with D3.js (charting-library-only experience is not sufficient)
  • Component development with MUI or a comparable component library
  • Working familiarity with GCP, specifically BigQuery and GCS
  • Comfort operating within an existing Docker and Cloud Run deployment pipeline
  • Automated testing with Playwright, covering both unit tests and browser E2E tests
  • Product and UI design capability: able to work from, and contribute to, an established design system
  • Demonstrated ability to collaborate with data scientists on analytical and visualization requirements
  • Practical experience using AI coding tools (Copilot, Claude, etc.) in a professional setting
  • Ability to work independently in a distributed team on a UK or US East Coast schedule
Minimum Qualifications
  • BS in Computer Science, Software Engineering, Data Science, or equivalent practical experience
  • 2–7 years of professional software engineering experience
  • Strong JavaScript/TypeScript fundamentals, including asynchronous patterns and typed API contracts
  • Proficiency with modern front-end tooling, Git, and CI/CD workflows
  • SQL proficiency sufficient to write and optimize analytical queries
  • Collaborator across a diverse set of groups, including non-technical scientific stakeholders
  • Excellent communication skills
  • Multitasking: balancing a diverse set of projects and deadlines
  • Curiosity and excitement about technology
Preferred Qualifications
  • Experience visualizing complex biological, chemical, or other scientific data sets
  • Experience with large-scale or streaming data rendering performance (canvas/WebGL, virtualization, aggregation strategies)
  • Experience contributing to or maintaining a shared design system
  • Familiarity with BigQuery cost and access-pattern optimization
  • Exposure to accessibility standards in data-dense interfaces
  • Track record of success contributing to and advancing discovery programs
Additional Information
Great talent should benefit from a great work environment. If you join our team, you’ll have access to:
  • A competitive salary and bonus package based on experience
  • Comprehensive health and wellness benefits, including Medical, Dental, and Vision Insurance
  • Company-provided Life and Long-Term Disability Insurance
  • Company-sponsored 401(k) Plan
  • Company-provided continuing education benefit
  • Team-focused culture and unlimited opportunity for advancement
** NOTE: This role is 100% remote and the candidate must be able to work on an East Coast US schedule.
** Candidates must not require sponsorship now or in the future.
 

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