1

Junior Python Sql Developer Jobs in Oak Brook, IL

Showing results 21-40

Junior Python Sql Developer information

See Oak Brook, IL salary details

$24.2K

$89.8K

$138.8K

How much do junior python sql developer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for junior python sql developer in Oak Brook, IL is $89,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,600.00 and $87,800.00 per year, depending on experience, location, and employer.

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

AspectJunior Python Sql DeveloperData Analyst
Required SkillsPython, SQL, basic data manipulationSQL, Excel, data visualization
CertificationsOptional Python/SQL certificationsData analysis or visualization certifications
Work EnvironmentDevelopment teams, database managementBusiness units, reporting teams
Industry UsageTech, finance, healthcareMarketing, finance, consulting

Junior Python SQL Developers focus on coding, database querying, and scripting to support software and data infrastructure. Data Analysts interpret data, create reports, and visualize insights. While both roles require SQL skills, Python is more central for developers, whereas analysts emphasize data presentation. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What are the most commonly searched types of Python Sql Developer jobs in Oak Brook, IL? The most popular types of Python Sql Developer jobs in Oak Brook, IL are:
What are popular job titles related to Junior Python Sql Developer jobs in Oak Brook, IL? For Junior Python Sql Developer jobs in Oak Brook, IL, the most frequently searched job titles are:
What cities near Oak Brook, IL are hiring for Junior Python Sql Developer jobs? Cities near Oak Brook, IL with the most Junior Python Sql Developer job openings:

Front Office Analyst Developer

Techvilla Solutions

Bensenville, IL • On-site

Full-time

Posted 5 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.