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Python Data Developer Jobs in Naperville, IL (NOW HIRING)

Schawk USA LLC

Packaging Data Engineer

Chicago, IL · Hybrid

Position overview The Packaging Data Engineer will report directly to the Global Head of ... Experience with Python, data pipelines, cloud platforms, data modeling, and Microsoft Copilot a ...

sgsco

Packaging Data Engineer

Chicago, IL · On-site

Position overview The Packaging Data Engineer will report directly to the Global Head of ... Experience with Python, data pipelines, cloud platforms, data modeling, and Microsoft Copilot a ...

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How much do python data developer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for python data developer in Naperville, IL is $58.53, according to ZipRecruiter salary data. Most workers in this role earn between $48.27 and $66.49 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 Naperville, IL?

For Python Data Developer jobs in Naperville, IL, the most frequently searched job titles are:

What job categories do people searching Python Data Developer jobs in Naperville, IL look for?

The top searched job categories for Python Data Developer jobs in Naperville, IL are:

What cities near Naperville, IL are hiring for Python Data Developer jobs?

Cities near Naperville, IL with the most Python Data Developer job openings:

Python Data Developer jobs near you
Infographic showing various Python Data Developer job openings in Naperville, IL as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 4% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $121,751 per year, or $58.5 per hour.

Automation Python Developer with SQL

ADDSOURCE

Chicago, IL • On-site

Other

Posted 21 days ago

Job description

Role: Seasonal Automation QA (Playwright, Python, SQL)

Experience: - Min 8+ Years

Location: - Irving, TX (Hybrid 3 days WFO)

Looking for a Seasonal Automation QA with expertise in Playwright (UI/API), Python, Cypress, and SQL-driven ETL validation, responsible for building scalable test frameworks, ensuring end-to-end quality, and integrating automation into CI/CD pipelines.

Roles and Responsibilities

Design, develop, and maintain automation frameworks using Playwright (JavaScript/Python) Build scalable automated test scripts for UI, API, and end-to-end testing Perform ETL/data validation testing to ensure data accuracy across source and target systems.

Write complex SQL queries for data verification and backend validation Collaborate with developers, data engineers, and product teams to ensure quality throughout SDLC Integrate automation suites into CI/CD pipelines (Azure DevOps/GitHub/Jenkins)

Drive test strategy, test planning, and defect management Ensure coverage for functional, regression, and performance scenarios Mentor junior QA engineers and promote automation best practices

Educational Qualifications: -

Engineering Degree BE/ME/BTech/MTech/BSc/MSc.

Technical certification in multiple technologies is desirable.

Skills: -

Mandatory skills

Strong experience in Playwright automation (UI & API testing) Proficiency in Python scripting (preferred) or JavaScript/TypeScript

Hands-on experience with SQL (complex joins, aggregations, validation queries)

Solid understanding of ETL processes and data testing methodologies Experience with API testing (REST, JSON, Postman/Playwright)

Familiarity with CI/CD pipelines and version control (Git) Strong knowledge of test frameworks, design patterns, and QA best practices

Preferred Skills

Experience with cloud platforms (Azure/AWS) Exposure to data platforms like Databricks, Snowflake, or Synapse Knowledge of performance testing tools Experience working in Agile/Scrum environments Soft Skills Strong analytical and problem-solving skills Good communication and stakeholder management Ability to work in a fast-paced, delivery-driven environment'

Mandatory Skills QA Automation, Python, SQL, Playwright

VeeRteq Solutions is an Equal Opportunity Employer

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