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Full Stack Data Engineer Jobs in Mount Laurel, NJ

Aramark

Data Engineer

Philadelphia, PA · On-site

$109K - $131K/yr

Application development capability on a modern stack: building APIs and services (e.g., SpringBoot ... reach your full potential. Learn more about working here at or connect with us on Facebook ...

Aramark

Data Engineer

Philadelphia, PA · On-site

$109K - $131K/yr

Application development capability on a modern stack: building APIs and services (e.g., SpringBoot ... you reach your full potential. Learn more about working here at connect with us on Facebook ...

Aramark

Data Engineer

Philadelphia, PA

$115K - $138K/yr

Application development capability on a modern stack: building APIs and services (e.g., SpringBoot ... you reach your full potential. Learn more about working here at connect with us on Facebook ...

CACI

Full Stack Software Engineer

Philadelphia, PA · On-site

$82K - $172K/yr

Full Stack Software Engineer Job Category: Engineering Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee Type: Regular Percentage of Travel Required: Up to 10% ...

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All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in Mount Laurel, NJ

Full Stack Data Engineer information

See Mount Laurel, NJ salary details

$44.1K

$133.5K

$188.7K

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

As of Sep 5, 2026, the average yearly pay for full stack data engineer in Mount Laurel, NJ is $133,466.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,900.00 and $156,500.00 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 Mount Laurel, NJ?

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

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

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

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

Cities near Mount Laurel, 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 Mount Laurel, NJ as of June 2026, with employment types broken down into 4% As Needed, 67% Full Time, 18% Part Time, and 11% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $133,466 per year, or $64.2 per hour.

Full Stack Python React Software Engineer

JS Consulting

Conshohocken, PA • On-site

Full-time

Re-posted 23 days ago

Job description

Job Title- Python Software Engineer

Project Location – Hybrid in Conshohocken, PA

Duration- Fulltime

Technical Skills:

* Solid experience with Python and Django.

* Strong proficiency in JavaScript and React (including frameworks like Express, React Bootstrap, CSS).

* Experience with Node.js and Express is a plus.

* Proficiency in Redis, MongoDB, MySQL, PostgreSQL, and a deep understanding of data modeling.

* Solid experience with SDLC & TDD (BDD is a nice-to-have).

* Deep understanding of RESTful APIs and asynchronous request handling.

* Experience with CI/CD pipelines using GitHub.

* Hands-on experience deploying full stack applications to AWS cloud (EC2, ECS, API Gateway, AppRunner, etc.) is preferred.

* Familiarity with logging/tracking tools like Jaeger or Datadog.

 Application Design: Ability to design applications from scratch, including UI components, responsive designs, and generating various document types (PDFs, Word).

 Modern Practices: Experience with GenAI tools for development, testing, and assessment, along with strong knowledge of Secure Development Practices.

 Attributes: Strong problem-solving skills, attention to detail, highly motivated, dependable, and a self-starter.