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Full Stack Data Engineer Jobs in Mount Laurel, NJ

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 ...

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 ...

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 ...

CapTech Consulting

Full-Stack Engineer

Philadelphia, PA · On-site

Full-Stack Developers at CapTech are part of a capable, highly-motivated community who strive to continuously learn the latest tools and architectures to deliver innovative solutions for our clients.

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Showing results 1-20

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 Jul 29, 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 engineers make $500,000?

Senior full stack data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost living areas or within large tech companies. Compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires a combination of technical proficiency, leadership, and industry experience.

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 does a full-stack data engineer do?

A full-stack data engineer designs, develops, and maintains data pipelines, databases, and data processing systems across both backend and frontend components. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and optimized for analysis and application use. This role often requires knowledge of data architecture, ETL processes, and programming skills to support data-driven decision-making.

Can I make 200K as a data engineer?

Full Stack Data Engineers with extensive experience, advanced skills in cloud platforms, and expertise in tools like Spark or Hadoop can potentially earn salaries of $200,000 or more, especially in high-cost-of-living areas or senior roles. Salary levels depend on factors such as location, industry, company size, and individual qualifications.

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 engineers make $300,000 a year?

Full Stack Data Engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $300,000 or more annually. High compensation often reflects seniority, specialized knowledge, and leadership roles within organizations. Certifications like AWS or Google Cloud and a strong portfolio can also contribute to higher salaries.

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 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.
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.

Data Engineer - Junior Conshohocken Hybrid

Bing Recruitment

Conshohocken, PA • Hybrid

$50K - $85K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago

Job description

Company Overview

We are a technology-driven financial institution that specializes in partnering with FinTech firms and innovative brands to launch modern financial products. By merging the agility of a startup with the stability of a regulated banking environment, we empower our partners to scale safely across lending, card services, and embedded finance.


The Role

We are seeking a solution-oriented Data Engineer with deep expertise in Azure Synapse, SQL Server, and Power BI. In this role, you will design and deliver end-to-end data solutions that leverage AI and automation to drive business intelligence and operational reporting.

You will act as a bridge between technical execution and business strategy, working directly with internal units to translate complex requirements into scalable data models and actionable insights.


Key Responsibilities

  • Data Architecture: Design, develop, and maintain Azure SQL databases, stored procedures, and Azure Synapse ETL pipelines.
  • Business Intelligence: Build and manage high-impact Power BI dashboards and reports; oversee Power BI Online Workspaces and data refresh schedules.
  • Stakeholder Collaboration: Gather and define project scopes by communicating effectively with cross-functional partners and non-technical audiences.
  • Quality & Governance: Ensure data integrity and performance across all platforms; document data models and reporting logic for compliance and internal use.
  • Technical Advisory: Provide guidance on data visualization best practices and support ad-hoc analysis requests from various business units.


Required Qualifications

  • Experience: 1-3 years in full-stack data development focusing on the Azure stack (Synapse, SQL Server, Power BI).
  • Technical Skills: Strong proficiency in T-SQL, data modeling, performance tuning, DAX, and Power Query.
  • Communication: Exceptional ability to articulate complex technical concepts to non-technical stakeholders.
  • Execution: Proven ability to manage multiple projects simultaneously in a fast-paced environment.


Preferred Qualifications

  • Background in financial services (banking or fintech).
  • Experience working within Agile/Scrum frameworks and knowledge of DevOps practices.
  • Familiarity with Snowflake, Databricks, or Machine Learning (ML) automation tools.


Compensation & Benefits

  • Salary Range: $50,000 – $85,000 (commensurate with experience and location).
  • Bonus: Eligibility for annual performance bonus programs.
  • Benefits: Comprehensive package including Health, Dental, Vision, 401K, and Paid Time Off.