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Senior Python Developer Jobs in Glendale Heights, IL

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Senior Python Developer information

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$54.8K

$141.4K

$194.2K

How much do senior python developer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for senior python developer in Glendale Heights, IL is $141,382.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,000.00 and $162,800.00 per year, depending on experience, location, and employer.

What are the main responsibilities of a senior Python developer?

A Senior Python Developer is responsible for designing, developing, and maintaining complex software applications using the Python programming language. They lead the technical aspects of projects, mentor junior developers, and ensure code quality through code reviews and best practices. Additionally, they collaborate with cross-functional teams to gather requirements, solve technical challenges, and deploy scalable and efficient solutions. Senior Python Developers are also expected to stay updated with the latest trends and advancements in Python and related technologies.

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

To thrive as a Senior Python Developer, you need advanced proficiency in Python programming, experience with software architecture, and a solid understanding of algorithms and data structures, usually backed by a degree in computer science or related fields. Familiarity with frameworks like Django or Flask, version control systems such as Git, and containerization tools like Docker are typically required, alongside knowledge of modern CI/CD pipelines. Strong problem-solving abilities, effective communication, and leadership skills help you collaborate with teams and mentor junior developers. Mastery of these skills ensures the delivery of scalable, maintainable software solutions and the ability to drive technical excellence within development teams.

What are some common challenges faced by senior Python developers when leading a development team?

Senior Python Developers often encounter challenges such as balancing hands-on coding with mentoring junior team members and ensuring code quality across the team. They are also responsible for making architectural decisions, which requires staying updated on best practices and emerging Python frameworks. Additionally, coordinating collaboration between cross-functional teams (like DevOps, QA, and front-end developers) can be complex, especially in agile environments where requirements may shift rapidly. Overcoming these challenges helps foster a productive and innovative team culture.

What is the difference between Senior Python Developer vs Python Developer?

AspectSenior Python DeveloperPython Developer
Required ExperienceTypically 5+ years, with leadership and complex project experienceUsually 1-3 years, focusing on core Python skills
ResponsibilitiesDesigning architecture, mentoring, handling complex systemsWriting code, debugging, implementing features
CertificationsOptional but beneficial (e.g., Python certifications, cloud certs)Often not required
Work EnvironmentCollaborative teams, project planning, code reviewsDevelopment-focused, task-oriented

The main difference between a Senior Python Developer and a Python Developer lies in experience, responsibilities, and leadership. Senior developers handle complex projects, mentor others, and often participate in architecture decisions, while Python Developers focus on coding and feature implementation. Both roles are essential in tech companies, but the senior role requires more experience and broader skills.

How much does a senior Python developer make?

A senior Python developer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and industry. They often possess strong skills in frameworks like Django or Flask and may have certifications or experience with cloud platforms, which can influence compensation.

What are popular job titles related to Senior Python Developer jobs in Glendale Heights, IL?

For Senior Python Developer jobs in Glendale Heights, IL, the most frequently searched job titles are:

What job categories do people searching Senior Python Developer jobs in Glendale Heights, IL look for?

The top searched job categories for Senior Python Developer jobs in Glendale Heights, IL are:

What cities near Glendale Heights, IL are hiring for Senior Python Developer jobs?

Cities near Glendale Heights, IL with the most Senior Python Developer job openings:

Senior Python Developer jobs near you
Infographic showing various Senior Python Developer job openings in Glendale Heights, IL as of August 2026, with employment types broken down into 2% Internship, 82% Full Time, 8% Part Time, 1% Temporary, 6% Contract, and 1% Nights. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $141,382 per year, or $68 per hour.

Senior Graph Database Developer

Long Finch Technologies

Clarendon Hills, IL • Hybrid

Contractor

Posted yesterday

New

Job description

Job title: Senior Graph Database Developer

Work Location: Chicago, IL, 60606(Hybrid )

Duration: 6+ Months Contract
Experience Level: 10+ Years

Visa: Visa Independent Only

Job Description:
Must Have Skills
Amazon Neptune Graph Database, SPARQL
Data Engineering / ETL Pipelines
GraphRAG
Nice to have skills
Gen AI integration, Python  Backend API Development
Detailed Job Description
Education Bachelors or Masters degree in Computer Science, Data Science, Information Architecture, or a related field.
Graph Databases Extensive hands on experience designing and managing production scale instances of Amazon Neptune.
Graph languages, specifically Gremlin or SPARQL.
Programming Advanced production coding in Python or JVM environments Java, Scala.
Cloud Infrastructure Strong proficiency with AWS Services e.g., AWS S3, Amazon RDS, Amazon ECS
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Design enterprise ontologies, taxonomies, and graph schemas that reflect complex business structures.
Architect, configure, and scale Amazon Neptune database environments to handle billions of relationships.
Integrate knowledge graphs into GraphRAG pipelines to enhance contextual grounding and minimize AI hallucinations. Partner with AI teams to implement hybrid search architectures combining graph traversals with vector databases.

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