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Senior Python Sql Developer Jobs in West Chicago, IL

Purple Drive Technologies

Senior Python Developer

Chicago, IL · On-site

$125.20K - $168.40K/yr

Overview: Senior Python Developer Role Overview We seek a seasoned Senior Python Developer with expertise in Pandas, SQL databases, and Azure to design, develop, and optimize data-intensive ...

Ontrac Solutions

Senior Python Engineer

Chicago, IL · On-site

$80 - $100/hr

We are currently hiring on behalf of one of our clients for a Senior Python Engineer to support a critical customer engagement. Position Overview We are seeking a highly skilled and experienced ...

Ontrac Solutions

Senior Python Engineer

Chicago, IL · On-site

$80 - $100/hr

We are currently hiring on behalf of one of our clients for a Senior Python Engineer to support a critical customer engagement. Position Overview We are seeking a highly skilled and experienced ...

MidWest Startup creating applications that allow consumers to take control of their data

Be Seen First

Senior Python Developer, Unique Niche Expanding Startup, Startup Exper

Oak Brook, IL · On-site

$125K - $145K/yr

Senior Python Software Engineer, Python Applications, Unique Start Up, U.S. Company. Perm-Direct Hire role, Expanding Team, Unique Consumer Data Based Application. Our Mission : We're a fast-moving ...

Next Step Systems

Python Software Engineer

Chicago, IL · On-site

Chicago IL Jobs, Python Software Engineer, Python, SQL, Stored Procedures, Data Models, ETL, Node.js, Programmer Analyst, Programming, Software Developer, Trading, Financial, Chicago Recruiters ...

Finoit Inc.

Senior Data Quality Engineer

Chicago, IL · On-site

$109.30K - $148.50K/yr

We are seeking a Senior Data Quality Engineer with strong experience in Python, SQL, and automated data testing frameworks. This role focuses on building scalable data quality and validation ...

Sonoma Consulting Inc.

Senior Data Engineer

Chicago, IL

$109.20K - $148.30K/yr

Apache Kafka, Rabbit MQ, NoSQL datastores., Java, Python, SQL, Amazon Web Services Titles: Data Engineer, Senior Data Engineer, Database Engineer, Data Architect, Senior Data Architect

TransMarket Group

Junior Data Engineer

Chicago, IL · On-site

$118K - $141.60K/yr

The role offers a high degree of ownership and hands-on learning, with exposure to Python, SQL ... Responsibilities * Work with senior developers to assist in and learn all facets of data ...

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Senior Python Sql Developer information

See West Chicago, IL salary details

$56.2K

$145K

$199.2K

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

As of May 29, 2026, the average yearly pay for senior python sql developer in West Chicago, IL is $145,017.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,100.00 and $167,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Python SQL Developer, and why are they important?

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 are Senior Python SQL Developers?

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 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 West Chicago, IL are hiring for Senior Python Sql Developer jobs? Cities near West Chicago, IL with the most Senior Python Sql Developer job openings:
Senior Python Sql Developer jobs near you

Senior Python Developer

Purple Drive Technologies

Chicago, IL • On-site

$125.20K - $168.40K/yr

Full-time

Posted 5 days ago

Job description

Overview:
Senior Python Developer
Role Overview
We seek a seasoned Senior Python Developer with expertise in Pandas, SQL databases, and Azure to design, develop, and optimize data-intensive applications. You'll architect robust ETL pipelines, enhance data models, and ensure seamless cloud integration to support our data-driven initiatives.
Key Responsibilities
  • Design, develop, and maintain Python-based applications and microservices.
  • Build and optimize ETL pipelines using Pandas, NumPy, and SQLAlchemy for data processing, transformation, and analysis.
  • Manage SQL databases (e.g., PostgreSQL, MySQL, SQL Server), including schema design, query optimization, and performance tuning.
  • Deploy and manage cloud-native solutions on Microsoft Azure (e.g., Azure Functions, Azure SQL, Azure Data Factory, Blob Storage).
  • Implement data validation, testing, and monitoring frameworks to ensure data integrity and system reliability.
  • Collaborate with data scientists, analysts, and engineers to translate business requirements into scalable technical solutions.
  • Mentor junior developers and advocate for best practices in coding, security, and CICD.

Required Skills / Qualifications
  • Experience 10 years in Python development, with 3 years focused on data engineering/analytics.
  • Technical Expertise
  • Python Ecosystem Proficiency in Pandas, NumPy, and data manipulation libraries.
  • Databases Advanced SQL skills (complex queries, indexing, stored procedures) and ORM tools (e.g., SQLAlchemy).
  • Cloud Hands-on experience with Azure services (e.g., Azure Functions, Azure SQL, Data Lake, Synapse).
  • Data Pipelines Experience building batchreal-time ETL workflows.
  • Tools Git, Docker, CICD pipelines (e.g., Azure DevOps), and LinuxUnix environments.
  • Soft Skills Strong problem-solving, communication, and teamwork abilities.
  • Education Bachelors degree in Computer Science, Engineering, or a related field.

Preferred Skills
  • Azure certifications (e.g., Azure Data Engineer, Azure Developer).
  • Experience with PySpark, Apache Airflow, or Kafka.
  • Knowledge of NoSQL databases (e.g., Cosmos DB).
  • Familiarity with DevOps practices (IaC, Terraform).
  • Exposure to machine learning frameworks (e.g., scikit-learn).

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