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Senior Python Sql Developer Jobs in Country Club Hills, IL

Brillius

Client

Chicago, IL · On-site

$56.75 - $70.25/hr

... Python, SQL, and data transformation logic. Experience building CI/CD pipelines for data engineering workloads Extensive hands-on experience implementing Lake house architecture using Data bricks ...

CEDENT

Sr. Data Scientist

Chicago, IL

... using Python, SQL and/or R • Build and enhance media mix models to connect the impact of ... research, engineering, or related field • 6+ years of industry experience in data science ...

SV Tech Systems Inc

Python Developer

Chicago, IL

$51.75 - $71.25/hr

Python Developer with 5+ years' experience Be able to demonstrate proficiency with excel and python ... C #, C++, SQL, UNIX, Messaging (MQ, RV) and Perl. You will be working with a team of developers and ...

Next Generation Inc

Senior Java Web Developer

Chicago, IL · On-site +1

$115K - $135K/yr

Senior Java Web Developer Job Summary: We are a seeking a highly skilled Senior Java Web Developer ... SQL Developer/Toad, JIRA, JBoss Cruise Control and Eclipse * Bachelors Degree in Computer Science ...

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Senior Python Sql Developer information

See Country Club Hills, IL salary details

$54.8K

$141.6K

$194.4K

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

As of Sep 1, 2026, the average yearly pay for senior python sql developer in Country Club Hills, IL is $141,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,100.00 and $163,000.00 per year, depending on experience, location, and employer.

What is a senior Python SQL developer?

Senior Python SQL Developers are experienced professionals who design, develop, and maintain software applications using Python and SQL. They work on tasks such as building backend systems, managing databases, optimizing queries, and ensuring data integrity. These developers often collaborate with other engineers, data analysts, and stakeholders to deliver robust solutions. Their seniority implies advanced technical skills, leadership abilities, and a track record of successful project delivery.

What are the key skills and qualifications needed to thrive as a senior Python SQL developer?

To thrive as a Senior Python SQL Developer, you need advanced proficiency in Python programming, SQL query optimization, database design, and a relevant degree in computer science or a related field. Experience with frameworks like Django or Flask, familiarity with version control systems such as Git, and knowledge of relational databases like PostgreSQL or MySQL are typically required. Strong problem-solving abilities, effective communication, and the ability to collaborate across teams distinguish top performers in this role. These skills ensure robust, scalable solutions and seamless data integration essential for business intelligence and application development.

What are some common challenges faced by senior Python SQL developers when managing large datasets, and how can they be addressed?

Senior Python SQL Developers often encounter challenges such as optimizing query performance, handling data integrity, and ensuring scalable data processing when working with large datasets. To address these issues, they frequently use advanced indexing, partitioning strategies, and efficient query design. Additionally, collaborating closely with data engineers and DBAs helps identify bottlenecks and implement best practices for database performance and maintainability. Regular code reviews and adopting automated testing also play a key role in maintaining robust data pipelines.

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

AspectSenior Python Sql DeveloperData Analyst
Required SkillsPython, SQL, database management, scriptingSQL, data visualization, statistical analysis
Work EnvironmentSoftware development teams, IT departmentsBusiness units, research teams
CertificationsSQL certifications, Python certificationsData analysis certifications, Excel skills
Industry UsageTech, finance, healthcareMarketing, finance, consulting

The main difference between a Senior Python Sql Developer and a Data Analyst lies in their focus areas. The developer primarily builds and maintains data systems using Python and SQL, while the analyst interprets data to provide insights. Both roles require strong SQL skills and may share certifications, but their daily tasks and industry applications differ significantly.

What cities near Country Club Hills, IL are hiring for Senior Python Sql Developer jobs?

Cities near Country Club Hills, IL with the most Senior Python Sql Developer job openings:

Senior Python Sql Developer jobs near you
Infographic showing various Senior Python Sql Developer job openings in Country Club Hills, IL as of June 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $141,559 per year, or $68.1 per hour.

Client

Brillius

Chicago, IL • On-site

$56.75 - $70.25/hr

Contractor

Re-posted 9 days ago

Job description

Job TitleAzure Databricks Data EngineerEstimated Start Date3/10/2025LocationChicago, IL~Dallas,TXDuration(Months)6 MonthsRemote PossibilityOnsite
 

Job Description:
 
 
Overall 6+ years of experience as developer with strong hands‑on experience with Azure Databricks, PySpark, Spark SQL, and Delta Lake
Experience in developing Spark applications using spark-SQL in Databricks for data extraction, transformation and aggregation from multiple file formats for analyzing and transforming the data to uncover insights into the customer usage patterns
Extract, transform and load from sources system to Azure Data Storage services using a combination of Azure Data factory, T-SQL, Pyspark and Azure Data Lake Storage (ADLS), and Azure DevOps. Data ingestion to one or more Azure services (Azure Data Lake, Azure Storage, Azure SQL, Azure DW) and processing the data in Azure Databricks
Hands on experience on developing SQL scripts for automation
Proficiency in Python, SQL, and data transformation logic.
Experience building CI/CD pipelines for data engineering workloads
Extensive hands-on experience implementing Lake house architecture using Data bricks Data Engineering platform, SQL Analytics, Delta Lake, and Unity Catalog
Good understanding of spark architecture with Databricks structured streaming, setting up Azure with Databricks, managing clusters in Databricks
Excellent interpersonal, verbal, and written communication skills
Role Descriptions: Overall 6 years of experience as developer with strong handson experience with Azure Databricks| PySpark| Spark SQL| and Delta LakeExperience in developing Spark applications using spark-SQL in Databricks for data extraction| transformation and aggregation from multiple file formats for analyzing and transforming the data to uncover insights into the customer usage patternsExtract| transform and load from sources system to Azure Data Storage services using a combination of Azure Data factory| T-SQL| Pyspark and Azure Data Lake Storage (ADLS)| and Azure DevOps. Data ingestion to one or more Azure services (Azure Data Lake| Azure Storage| Azure SQL| Azure DW) and processing the data in Azure DatabricksHands on experience on developing SQL scripts for automationProficiency in Python| SQL| and data transformation logic.Experience building CICD pipelines for data engineering workloadsExtensive hands-on experience implementing Lake house architecture using Data bricks Data Engineering platform| SQL Analytics| Delta Lake| and Unity CatalogGood understanding of spark architecture with Databricks structured streaming| setting up Azure with Databricks| managing clusters in DatabricksExcellent interpersonal| verbal| and written communication skills
Essential Skills: Overall 6 years of experience as developer with strong handson experience with Azure Databricks| PySpark| Spark SQL| and Delta LakeExperience in developing Spark applications using spark-SQL in Databricks for data extraction| transformation and aggregation from multiple file formats for analyzing and transforming the data to uncover insights into the customer usage patternsExtract| transform and load from sources system to Azure Data Storage services using a combination of Azure Data factory| T-SQL| Pyspark and Azure Data Lake Storage (ADLS)| and Azure DevOps. Data ingestion to one or more Azure services (Azure Data Lake| Azure Storage| Azure SQL| Azure DW) and processing the data in Azure DatabricksHands on experience on developing SQL scripts for automationProficiency in Python| SQL| and data transformation logic.Experience building CICD pipelines for data engineering workloadsExtensive hands-on experience implementing Lake house architecture using Data bricks Data Engineering platform| SQL Analytics| Delta Lake| and Unity CatalogGood understanding of spark architecture with Databricks structured streaming| setting up Azure with Databricks| managing clusters in DatabricksExcellent interpersonal| verbal| and written communication skills
Desirable Skills: 
Keyword: 
Skills: Digital : Databricks
Experience Required: 6-8