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Full Stack Data Engineer Jobs in Pennsylvania (NOW HIRING)

Full Stack Developer Location: Dallas or Plano, Texas. No.Openings: 3 Description: Full Stack ... Design and optimize data access layers supporting structured, semi structured, and large scale ...

Full Stack Engineer

Pittsburgh, PA ยท On-site

$60 - $70/hr

Hybrid 4 days onsite in Pittsburgh, PA Our client seeks a Full Stack Engineer to modernize and ... Design and optimize SQL queries and data models for Oracle and related SQL databases. * Apply AI ...

Full Stack Engineer

Pittsburgh, PA ยท On-site

$60 - $70/hr

Hybrid 4 days onsite in Pittsburgh, PA Our client seeks a Full Stack Engineer to modernize and ... Design and optimize SQL queries and data models for Oracle and related SQL databases. * Apply AI ...

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 ...

Full stack developer

Pittsburgh, PA ยท On-site

$80K - $100K/yr

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

Full Stack Engineer

Broomall, PA ยท On-site +1

$100K - $120K/yr

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 ...

Showing results 21-40

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 10, 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.

Full Stack Developer

Pittsburgh, PA โ€ข On-site

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

Other

Re-posted 7 days ago


Job description

Job Title: Full Stack Developer Location: Dallas or Plano, Texas. No.Openings: 3 Description: Full Stack Developer Position Description We're growing rapidly and are looking for Full Stack Developers to join our Telecommunications Sector. We're a close knit team that has access to global resources. Location strongly preferred to be in Dallas or Plano, Texas. Your future duties and responsibilities . Design, develop, and maintain scalable backend applications and RESTful APIs using Python and FastAPI . Build high performance, secure, and reusable API services supporting AI, analytics, and enterprise applications . Develop integrations with Snowflake, Databricks, and cloud based data platforms . Design and optimize data access layers supporting structured, semi structured, and large scale datasets . Develop services that leverage Apache Iceberg tables and modern data lakehouse architectures . Build event driven and asynchronous backend services where appropriate . Optimize API performance, scalability, reliability, and security . Implement authentication and authorization using OAuth2, JWT, Azure AD, or similar enterprise identity providers . Collaborate with cloud engineers to deploy applications on Microsoft Azure using modern DevOps practices . Participate in architecture reviews, code reviews, and technical design discussions Required qualifications to be successful in this role . Bachelor's degree in Computer Science, Engineering, or equivalent experience . 5+ years of professional software development experience . 5+ years of hands-on Python development . Strong experience developing production grade applications using FastAPI . Strong understanding of REST API design and backend architecture . Experience with asynchronous programming in Python . Experience integrating applications with Snowflake . Experience working with Databricks . Experience using Apache Iceberg tables and modern lakehouse architectures . Experience developing applications on Microsoft Azure . Experience building AI enabled or GenAI applications . Experience integrating with Large Language Models (Azure OpenAI, OpenAI, Anthropic, etc.) . Experience with vector databases and Retrieval Augmented Generation (RAG) . Experience with MLflow or MLOps practices . Experience writing unit, integration, and automated tests . Strong knowledge of SQL and database design . Experience with containerization technologies such as Docker . Excellent debugging, analytical, and problem solving skills . Strong communication and collaboration skills Preferred Qualifications . Experience with Azure Kubernetes Service (AKS) . Experience with Azure Functions or Azure App Services . Experience with Azure API Management . Experience with Azure Key Vault . Experience with Azure Event Hubs or Service Bus . Experience with Terraform or Infrastructure as Code . Familiarity with Spark and PySpark . Experience with distributed systems and microservices architectures Technical Skills Required . Python . FastAPI . REST APIs . Snowflake . Databricks . Apache Iceberg . Microsoft Azure . SQL . MLflow . Azure OpenAI . LangChain or similar AI frameworks Preferred . AKS . Git . Docker . CI/CD . Azure Functions . Azure API Management . Azure Key Vault . Azure DevOps . Kubernetes . Terraform . PySpark Desired Characteristics . Strong ownership mindset . Passion for building clean, maintainable, and scalable software . Ability to work independently while collaborating effectively with cross functional teams . Comfortable working in Agile environments . Continuous learner with interest in AI, cloud technologies, and modern data platforms . Strong attention to quality, security, and performance . Experience supporting enterprise AI initiatives . Experience building APIs that serve AI/ML models . Experience working with large scale enterprise data platforms . Exposure to telecom, financial services, or other large enterprise environments

#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