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Python Sql Jobs in Chicago, IL (NOW HIRING)

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How much do python sql jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for python sql in Chicago, IL is $60.39, according to ZipRecruiter salary data. Most workers in this role earn between $49.76 and $68.61 per hour, depending on experience, location, and employer.

What is a Python SQL?

A Python SQL job typically involves using Python programming and SQL databases to develop, manage, and analyze data. Professionals in this role work with databases to write queries, retrieve and manipulate data, automate tasks, and optimize performance. Common responsibilities include database querying, data analysis, ETL processes, and backend development. These roles are common in industries like finance, healthcare, and technology, where data management and processing are critical.

What are some typical projects or tasks a Python SQL professional might work on?

Python SQL professionals often work on data extraction, transformation, and loading (ETL) processes, as well as analyzing large datasets to generate reports and insights for business decision-making. They may develop automated scripts to streamline data workflows and ensure data quality, or assist with database design and optimization. Collaboration with data analysts, engineers, and business stakeholders is common, so comfort working both independently and as part of a cross-functional team is beneficial. These tasks help organizations make data-driven decisions and maintain efficient, reliable data systems.

What are the key skills and qualifications needed to thrive in the Python SQL position, and why are they important?

To excel in a Python SQL role, you should have strong programming skills in Python, a solid understanding of SQL for database querying, and a relevant degree in computer science or a related field. Experience with data analysis tools, relational database systems like MySQL or PostgreSQL, and certifications such as Microsoft SQL Server or Python programming can be advantageous. Strong problem-solving abilities, attention to detail, and clear communication are critical soft skills for this position. These competencies are necessary to efficiently manipulate data, create robust solutions, and collaborate across technical and non-technical teams.

Is Python and SQL a good combination?

Python and SQL are commonly used together in data analysis, database management, and backend development roles. Python's libraries like SQLAlchemy and pandas facilitate database interactions, making this combination valuable for automating data workflows and building data-driven applications.

Is Python and SQL enough to get a job?

For a Python SQL role, proficiency in both programming and database management is essential. While Python and SQL are core skills, employers often value additional knowledge such as data analysis, version control, and familiarity with frameworks or cloud platforms. Certifications and practical experience can also improve job prospects in this field.

What jobs can you get with SQL and Python?

Jobs that require SQL and Python include data analyst, data scientist, database administrator, backend developer, and machine learning engineer. These roles involve data management, analysis, automation, and building data-driven applications, often requiring knowledge of related tools like Pandas, SQL databases, and cloud platforms.

What are the most commonly searched types of Python Sql jobs in Chicago, IL?

The most popular types of Python Sql jobs in Chicago, IL are:

What are popular job titles related to Python Sql jobs in Chicago, IL?

For Python Sql jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Python Sql jobs in Chicago, IL look for?

The top searched job categories for Python Sql jobs in Chicago, IL are:

Python Sql jobs near you
Infographic showing various Python Sql job openings in Chicago, IL as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $125,608 per year, or $60.4 per hour.

Front Office Analyst Developer

Techvilla Solutions

Clarendon Hills, IL • On-site

Full-time

Posted 6 days ago

Job description

We are seeking an experienced Front Office Analyst Developer with 8–10 years of experience supporting trading analytics and front-office technology. The ideal candidate will combine business analysis, data analysis, and technical development skills to support trading workflows, build analytical solutions, and collaborate with business and technology teams to enhance trading platforms.

Key Responsibilities
  • Partner with front-office users to understand business requirements and improve trading workflows.
  • Deliver user training, onboarding, and support for trading analytics tools and platforms.
  • Develop analytical utilities and workflow enhancements using Python, SQL, and Excel/VBA.
  • Analyze large datasets, including market data, pricing, forward curves, and trading analytics.
  • Build dashboards and reports using Power BI, Plotly, or similar visualization tools.
  • Integrate data from multiple sources using APIs and data pipelines.
  • Gather user feedback, document business requirements, and collaborate with development teams to deliver enhancements.
  • Participate in Agile ceremonies and support testing, issue resolution, and production support.
Required Qualifications
  • 8–10 years of experience in front-office technology, trading analytics, business analysis, or data analysis.
  • Experience supporting trading, commodities, or energy markets.
  • Strong programming skills in Python.
  • Hands-on experience with SQL, Excel/VBA, and large-scale data analysis.
  • Experience with Power BI, Plotly, Dataiku, or similar analytics tools.
  • Knowledge of APIs, data integration, and data pipelines.
  • Strong analytical, communication, stakeholder management, and problem-solving skills.
  • Bachelor's degree in Engineering, Computer Science, Mathematics, Finance, or a related quantitative field.
Preferred Qualifications
  • Experience with commodity trading analytics, risk management, or supply and demand modeling.
  • Knowledge of ETL processes and workflow orchestration.
  • Experience with AWS, SQL Server, or cloud-based analytics platforms.
  • Familiarity with Agile methodologies and front-office application support.

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