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Full Stack Data Engineer Jobs in Pennsylvania (NOW HIRING)

Sr.Data Engineer -- PYspark,SQL

Erie, PA · On-site

$111K - $133K/yr

Contract Experience: 10 15 Years Job Summary We are seeking a Senior Full-Stack Data Engineer with deep expertise in AWS, SQL, PySpark, and Python to architect, develop, and optimize next-generation ...

... CX, data, DevOps, IoT, mobile, quality engineering, and UX, along with deep expertise in BFSI ... Role: Full Stack .NET Developer Location: Mechanicsburg, PA Position: 5 Role Overview: We are ...

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 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 ...

... 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?

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 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 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 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 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 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 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 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 ...

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Showing results 1-20

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 8, 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.

Sr.Data Engineer -- PYspark,SQL

Erie, PA • On-site

Acunor Infotech
IT Services • 11 - 50 employees

$111K - $133K/yr

Other

Posted 4 days ago


Job description

Location: Erie, PA (hybrid) OR Remote
Employment Type: Contract
Experience: 10 15 Years

Job Summary

We are seeking a Senior Full-Stack Data Engineer with deep expertise in AWS, SQL, PySpark, and Python to architect, develop, and optimize next-generation cloud data platforms. The ideal candidate will have experience with large-scale data infrastructure and modern data engineering technologies.

Key Responsibilities
  • Design and develop scalable AWS cloud data platforms.
  • Build and optimize ETL/ELT pipelines using SQL, PySpark, and Python.
  • Work with petabyte-scale data infrastructure and modern data architectures.
  • Develop solutions using AWS Glue, S3, Iceberg, Snowflake, Redshift, and Athena.
  • Support data integration, streaming, metadata management, and data quality.
  • Implement CI/CD and version control using Git.
  • Provide technical leadership, architecture guidance, and mentoring.
Required Qualifications
  • 10 15 years of Data Engineering/Data Architecture experience.
  • Strong AWS experience including S3, IAM, and VPC.
  • Advanced SQL, PySpark, and Python.
  • Experience with Talend, dbt Core, Iceberg, AWS Glue Catalog.
  • Experience with Snowflake, Redshift, and Athena.
  • Experience with AWS streaming services and Splunk.
  • Strong understanding of ETL/ELT, metadata management, and cloud-native data platforms.
Preferred Qualifications
  • Experience with petabyte-scale data environments.
  • Insurance industry experience.
  • Strong technical leadership and mentoring experience.
Primary Skills

AWS, Data Engineering, SQL, PySpark, Python, S3, IAM, VPC, AWS Glue, Glue Catalog, Iceberg, Snowflake, Redshift, Athena, Talend, dbt Core, AWS Streaming, Splunk, Git

One-Line Search Summary

Senior Data Engineer AWS SQL PySpark Python S3 Glue Iceberg Snowflake Redshift Athena Talend dbt Data Architecture


Acunor logo

About Acunor

Sourced by ZipRecruiter

Acunor provides high quality digital engineers in the field of Java Full Stack Programming, Pega, Appian, Power BI, Salesforce, DevOps, No-Code & Low-Code, Data Science, Analytics, Data Base and Cloud Native solutions. ​We specialize in providing Java Full Stack Engineers, BPM (Pega, Appian) Consultants, Salesforce Consultants, AWS/Azure/GCP Engineers, Data Scientists, Technical PMs, Program and Engagement Managers. ​Management comprises of highly experienced and seasoned technology executives with vast expertise in Large Scale Development Projects, Cloud Native Solutions and Managed Services.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Princeton, NJ, US

Year founded

2016

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