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Python Data Developer Jobs in Erie, PA (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 ...

Python Tutor

Erie, PA · Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

AWS Data Engineer

Erie, PA · On-site

$110K - $133K/yr

Experience in Python and Pyspark. * Proficiency in DevOps concepts, with hands-on experience in CI/CD pipelines, Docker, and Terraform. * Excellent understanding of data lake, data warehouse, and ...

Motion Analysis Center Engineer

Erie, PA · On-site

$28.94 - $43.41/hr

Maintains competency in equipment calibration, collection of the raw data, processing of data and ... Minimum 2 years of programming experience (Python, R) Preferred Qualifications * M.S. or higher ...

Solutions Engineer, Remote

Erie, PA · On-site

$120K - $140K/yr

Serve as a subject matter expert on Aperia's products, pilot data, and algorithm behavior to ... Build advanced analytical models using SQL, Python, and Excel to demonstrate product value.

Data Science Tutor

Erie, PA · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

D. in a "STEM" major (Science, Technology, Engineering, Mathematics) or equivalent field with 3 ... Python, C++) * Experience with high-dimensional imaging data and waveform/time-series data.

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Python Data Developer information

See Erie, PA salary details

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How much do python data developer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for python data developer in Erie, PA is $56.79, according to ZipRecruiter salary data. Most workers in this role earn between $46.83 and $64.52 per hour, depending on experience, location, and employer.

What is a Python data developer?

Python Data Developers are professionals who use the Python programming language to collect, process, and analyze data. They build and maintain data pipelines, write scripts for data manipulation, and work with databases to ensure data is accessible and usable for analytics and business insights. These developers often collaborate with data scientists, analysts, and other IT professionals to support data-driven decision-making within an organization.

What are the key skills and qualifications needed to thrive as a Python data developer, and why are they important?

To excel as a Python Data Developer, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with relational and NoSQL databases. Familiarity with data processing libraries (like Pandas, NumPy), ETL tools, and version control systems, as well as knowledge of cloud platforms (such as AWS or Azure), are typically required. Problem-solving ability, attention to detail, and effective communication are vital soft skills in this role. These skills enable efficient data pipeline development, ensure data quality, and facilitate collaboration within technical teams.

What are some common challenges faced by Python data developers when working with large datasets?

Python Data Developers often encounter challenges related to efficiently processing and managing large datasets, such as optimizing data pipelines for speed and memory usage. Handling data quality issues, integrating data from multiple sources, and ensuring scalability of their solutions are also frequent hurdles. Collaboration with data engineers, analysts, and stakeholders is crucial for understanding requirements and delivering robust results. Staying up to date with the latest libraries and tools, like Pandas, Dask, or PySpark, is also important to overcome these challenges and maintain high performance.

What is the difference between Python Data Developer vs Data Analyst?

AspectPython Data DeveloperData Analyst
Required SkillsPython, SQL, data modeling, ETL processesExcel, SQL, data visualization, basic statistics
CertificationsPython certifications, data engineering coursesData analysis certifications, Excel certifications
Work EnvironmentData engineering teams, software development projectsBusiness units, reporting teams
Industry UsageTech, finance, healthcare, where data pipelines are neededMarketing, finance, operations for insights and reporting

The Python Data Developer focuses on building data pipelines, integrating data sources, and developing scalable data solutions using Python. In contrast, Data Analysts primarily interpret data, create reports, and provide insights for decision-making. While both roles require SQL and data handling skills, Python Data Developers are more involved in data engineering tasks, whereas Data Analysts focus on data visualization and analysis.

What are popular job titles related to Python Data Developer jobs in Erie, PA?

For Python Data Developer jobs in Erie, PA, the most frequently searched job titles are:

What cities near Erie, PA are hiring for Python Data Developer jobs?

Cities near Erie, PA with the most Python Data Developer job openings:

Infographic showing various Python Data Developer job openings in Erie, PA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $118,133 per year, or $56.8 per hour.

Sr.Data Engineer -- PYspark,SQL

Erie, PA • On-site

Acunor Infotech
IT Services • 11 - 50 employees

$111K - $133K/yr

Other

Posted 5 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


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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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