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Full Stack Data Engineer Jobs in Pennsylvania (NOW HIRING)

Full Stack Developer

Pittsburgh, PA ยท On-site

$12K - $13K/yr

As a Full Stack Developer, you will be responsible for designing, developing, and maintaining both ... Understanding of web security best practices and data protection regulations. Responsibilities:

Full Stack Developer

Pittsburgh, PA ยท On-site

$12K - $13K/yr

As a Full Stack Developer, you will be responsible for designing, developing, and maintaining both ... Understanding of web security best practices and data protection regulations. Responsibilities:

Job Summary : Echo IT Solutions is a company seeking a Full Stack Developer to work in their ... Echo IT Solutions provides IT consulting, managed services, cloud, cybersecurity, data, and custom ...

As an AWS Full Stack Engineer, you will be integral to supporting the development and deployment of cutting-edge cloud-native applications. The ideal candidate will demonstrate strong problem-solving ...

Vice President, Full-Stack Engineer At BNY, our culture allows us to run our company better and ... We are looking for a strong T-shaped software developer with working experience with business data ...

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 ...

Full Stack Developer Location: Exton,PA (Onsite) Key responsibilities: Be heavily involved with design and product teams to understand needs, propose features, create early prototypes and transform ...

Full Stack Developer Location: Exton,PA (Onsite) Key responsibilities: * Beheavily involved with design and product teams to understand needs,propose features, create early prototypes and transform ...

Showing results 41-60

Full Stack Data Engineer information

See Pennsylvania salary details

$44.6K

$135.1K

$191K

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

As of Sep 9, 2026, the average yearly pay for full stack data engineer in Pennsylvania is $135,094.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $158,400.00 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 Pennsylvania?

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

What job categories do people searching Full Stack Data Engineer jobs in Pennsylvania look for?

The top searched job categories for Full Stack Data Engineer jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Full Stack Data Engineer jobs?

Cities in Pennsylvania with the most Full Stack Data Engineer job openings:

Infographic showing various Full Stack Data Engineer job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $135,094 per year, or $64.9 per hour.

Senior AWS Full Stack Engineer

Pittsburgh, PA โ€ข On-site

System One
Business Consulting Servicesย โ€ขย 5 - 10K employees

Other

Posted 11 days ago


Job description

Job Title: Senior AWS Full Stack Engineer Location: Knoxville, TN, Columbia SC or Lafayette, LA or Birmingham, AL Description: Senior AWS Full Stack Engineer to join a team supporting enterprise applications within the financial services industry. This is a hands-on development role focused on building, enhancing, and supporting scalable applications using Java, Spring Boot, Angular, Python, and AWS. The ideal candidate brings strong full stack development experience, solid AWS knowledge, and practical experience using AI/Generative AI tools as part of the software development lifecycle. The engineer will work across application layers, contribute to technical decisions, translate business requirements into working solutions, and help improve development efficiency through modern engineering and AI assisted practices. Senior AWS Full Stack Engineer to join a team supporting enterprise applications within the financial services industry. This is a hands-on development role focused on building, enhancing, and supporting scalable applications using Java, Spring Boot, Angular, Python, and AWS. The ideal candidate brings strong full stack development experience, solid AWS knowledge, and practical experience using AI/Generative AI tools as part of the software development lifecycle. The engineer will work across application layers, contribute to technical decisions, translate business requirements into working solutions, and help improve development efficiency through modern engineering and AI assisted practices. Key Responsibilities . Develop and maintain full stack applications using Java/Spring Boot, Angular, and Python. . Build and support cloud native applications and services within AWS heavy environments. . Work with AWS services such as Lambda, ECS/EKS, S3, API Gateway, DynamoDB, and RDS. . Develop and support APIs, microservices, integrations, and distributed application components. . Use GenAI and AI assisted development tools, including GitHub Copilot, ChatGPT, and LLM based solutions, to improve development productivity and code quality. . Apply LLMs and agent based/agentic workflows where appropriate to automate development tasks and enhance application capabilities. . Create unit and automated tests and participate in peer and AI assisted code reviews. . Translate business and functional requirements into reliable, maintainable technical solutions. . Work closely with developers, product partners, and other stakeholders in an Agile delivery environment. . Mentor less experienced developers while remaining actively involved in hands on development and troubleshooting. . Contribute to CI/CD, DevOps, testing, and application reliability practices. Required qualifications to be successful in this role . 5+ years of full stack software engineering experience, preferably supporting large scale enterprise applications. . Strong hands-on development experience with Java and Spring Boot. . Strong front end development experience with Angular. . Working proficiency with Python for application development, automation, or AI related use cases. . Strong hands on experience developing and deploying applications on AWS. . Experience with relevant AWS services such as Lambda, ECS/EKS, S3, API Gateway, DynamoDB, and RDS. . Experience developing REST APIs, microservices, and distributed applications. . Practical experience using GenAI/AI development tools, such as GitHub Copilot, ChatGPT, or similar tools, as part of day to day software development. . Understanding of LLMs, LLM APIs, and agentic/agent based workflows, with experience applying them to software development or application capabilities. . Experience with CI/CD pipelines, automated testing, Git based development, and modern DevOps practices. . Strong understanding of unit testing, code reviews, debugging, and software engineering best practices. . Ability to work independently, solve complex technical problems, and take ownership of development initiatives. . Strong communication and collaboration skills, including the ability to mentor junior engineers. . Financial services or other large enterprise application experience is a plus. Education: Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical field?. #M- #LI- Ref: #404-IT Pittsburgh


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About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US