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Python Certification Jobs in Lincolnshire, IL (NOW HIRING)

Apex Informatics

DevOps

Chicago, IL · On-site

$54.25 - $74.50/hr

... equivalent). • Scripting (Python, Bash, or PowerShell) • Certifications (CompTIA Security+, CySA+, AWS/Azure fundamentals, or vendor backup training) • Ticketing/change management/ITSM ...

CYNET SYSTEMS

Full Stack Developer

Chicago, IL · On-site

$60 - $65/hr

Experience building ETL/data processing solutions using Python. * Working knowledge of Apache ... As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is ...

CYNET SYSTEMS

Full Stack Developer

Chicago, IL · On-site

$60 - $65/hr

Experience building ETL/data processing solutions using Python. Working knowledge of Apache Airflow ... As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is ...

Rush University Medical Center

Data Engineer

Chicago, IL · On-site

$46.07 - $68.64/hr

Cloud Certifications in AWS, Azure or GCP. Physical Demands: Competencies: Disclaimer: The above is ... Python, SQL NoSQL, and Spark. • Ability to manage multiple projects essential. • Ability to ...

Synergie Systems

QA Automation Engineer

Chicago, IL · On-site

... Certification is a plus. Technical Skills: · Selenium WebDriver · Cypress or Playwright · Java / Python / JavaScript · API Testing (Postman, Rest Assured) · SQL · Jenkins / Azure DevOps / ...

Dexian DISYS

Full Stack Azure Developer

Chicago, IL · On-site

$75 - $80/hr

Develop backend services and automation using Python in Azure cloud environments. * Design event ... Cloud security certifications or security engineering background. Dexian stands at the forefront of ...

AvePoint

Revenue Operations GTM Engineer

Chicago, IL · On-site

$71K - $96K/yr

Certifications in Microsoft Dynamics 365. Power Platform preferred but not required. * Coding Proficiency: REST APIs, JSON data structures, SQL (data extraction and transformation), Python or ...

IMC

Network Engineer

Chicago, IL · On-site

$155K - $225K/yr

Hands-on scripting/automation experience (Python, Ansible, etc.) strongly preferred * CCIE or CCNP certification is a plus * Experience in trading or financial services highly preferred While this is ...

IMC

Network Engineer

Chicago, IL · On-site

$155K - $225K/yr

Hands-on scripting/automation experience (Python, Ansible, etc.) strongly preferred * CCIE or CCNP certification is a plus * Experience in trading or financial services highly preferred While this is ...

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Showing results 41-60

All JobsPython Certification JobsPython Certification Jobs in Lincolnshire, IL

Python Certification information

See Lincolnshire, IL salary details

$13

$61

$90

How much do python certification jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for python certification in Lincolnshire, IL is $61.72, according to ZipRecruiter salary data. Most workers in this role earn between $50.87 and $70.10 per hour, depending on experience, location, and employer.

What types of projects or tasks can I expect to work on after earning a Python certification?

After earning a Python certification, you can expect to work on a variety of projects, ranging from web application development to data analysis and automation tasks. Many teams utilize Python for scripting workflows, managing databases, building APIs, or developing machine learning models. The exact nature of your work will often depend on the industry and organization, but collaboration with other developers, data analysts, or IT professionals is common. Certified Python professionals are frequently trusted with higher responsibility, including contributing to code reviews and designing scalable solutions.

What is the difference between Python Certification vs Data Analyst?

AspectPython CertificationData Analyst
Required CredentialsCertification in Python programmingDegree in Data Science, Statistics, or related field
Work EnvironmentSoftware development, automation, scriptingData analysis, reporting, business insights
Industry UsageTech, finance, automationBusiness, marketing, finance
Search & Comparison IntentLearning Python skills, certification benefitsUnderstanding roles, skills, and certifications for data analysis

Python Certification focuses on validating Python programming skills, often used in software development and automation. Data Analysts utilize Python for data manipulation and analysis but typically require a broader skill set including statistical knowledge and domain expertise. While Python Certification enhances technical credentials, Data Analyst roles emphasize a combination of technical and analytical skills. Both are valuable in data-driven industries, but they serve different career paths and skill requirements.

What is a Python certification and why is it important?

A Python certification is an official credential that demonstrates a person's proficiency and knowledge in the Python programming language. Earning a certification can help validate your skills to employers, making you stand out in the job market. It often covers topics such as syntax, data structures, algorithms, and usage of Python libraries. Obtaining a certification can also provide structured learning and boost your confidence in applying Python in real-world projects. While not always required, it can be particularly beneficial for those new to programming or seeking to advance their careers.

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

To thrive as a Python Developer, you need strong proficiency in Python programming, a solid understanding of algorithms, data structures, and often a relevant degree in computer science or a related field. Familiarity with development frameworks (like Django or Flask), version control systems such as Git, and relevant Python certifications are commonly expected. Problem-solving ability, adaptability, and effective communication are valuable soft skills that set top candidates apart. These competencies enable developers to write efficient, maintainable code and collaborate well within development teams on complex projects.
What cities near Lincolnshire, IL are hiring for Python Certification jobs? Cities near Lincolnshire, IL with the most Python Certification job openings:
Python Certification jobs near you
Infographic showing various Python Certification job openings in Lincolnshire, IL as of August 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 100% In-person job distribution, with an average salary of $128,374 per year, or $61.7 per hour.

Senior GenAI Tooling Engineer

People Force Consulting Inc

Chicago, IL • On-site

$107K - $147K/yr

Other

Posted 11 days ago

Job description

Role: Senior GenAI Tooling Engineer
Location: - Chicago , IL (Hybrid - 3 days WFO)
Experience: - 12+ Years
Duration: - 6 months +

Educational Qualifications: -

  • Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
  • Technical certification in multiple technologies is desirable.

Our Client is seeking a Senior GenAI Tooling Engineer with expertise in GenAI, LLMs, OpenAI, Azure AI, Agentic AI, RAG Pipelines, Python, Amplitude, and Jellyfish to drive enterprise AI tooling strategy, governance, implementation, platform adoption, and engineering productivity across a regulated environment.

Mandatory Skills: GenAI Amplitude, Jellyfish, LLM, OpenAI, Azure, Python RAG Pipeline, AgenticAI 'AI Tooling Strategy & Roadmap.

Roles and Responsibilities:

AI Tool Strategy & Portfolio Evolution

  • Evaluate emerging AI engineering tools and recommend platforms that improve engineering productivity, AI quality, governance, observability, and operational excellence.
  • Conduct technical assessments, proof of concepts, and platform evaluations.
  • Support business cases, platform roadmaps, and tool rationalization efforts.
  • Recommend enhancements that maximize engineering value while minimizing platform complexity.

Platform Implementation & Integration

  • Lead implementation, configuration, and lifecycle management of enterprise AI engineering platforms.
  • Initially own Jellyfish and Amplitude implementations, integrations, upgrades, and enterprise rollout.
  • Integrate platforms with Azure DevOps, GitHub, Jira, ServiceNow, Azure, identity services, RBAC, REST APIs, telemetry, and enterprise systems.
  • Develop reusable onboarding playbooks, automation, templates, and implementation standards.
  • Support engineering teams and applications during onboarding.

Platform Adoption & Engineering Enablement

  • Develop onboarding processes, documentation, training, and self-service capabilities.
  • Partner with engineering teams to maximize platform adoption and engineering productivity.
  • Drive change management activities and continuously improve developer experience.

Platform Success & Operations

  • Monitor platform health, availability, utilization, and operational performance.
  • Coordinate incident management, vendor escalations, upgrades, release planning, and maintenance.
  • Optimize platform configuration, licensing, performance, scalability, and operational maturity.
  • Automate repetitive platform administration activities wherever practical.

Engineering Analytics & Insights

  • Design and develop engineering dashboards, executive scorecards, operational KPIs, adoption metrics, utilization analytics, ROI dashboards, and business-value reporting.
  • Provide actionable insights that improve engineering effectiveness, platform investments, and decision making.
  • Analyse engineering trends and identify opportunities to improve platform usage and productivity.

Platform Optimization & Continuous Improvement

  • Continuously evaluate new capabilities and recommend platform enhancements.
  • Optimize integrations, workflows, licensing, feature adoption, and operational processes.
  • Develop reusable engineering assets that improve implementation speed and consistency.

Business Partnership

  • Partner with AI Engineering, AI Automation, AI QE, AI AppOps, Enterprise Architecture, Security, Cloud Engineering, Product teams, and Vendors.
  • Collaborate with AI Infrastructure & Cloud and Enterprise Data & Analytics Platform teams to ensure seamless integrations while respecting ownership boundaries.

Mandatory skills

  • Experience in implementing, integrating, administering, or supporting enterprise software platforms.
  • Strong experience implementing and supporting engineering productivity platforms such as Jellyfish, Amplitude, or comparable enterprise tools.
  • Experience integrating enterprise platforms using APIs, webhooks, SSO, RBAC, cloud services, and automation.
  • Experience onboarding engineering teams and applications to enterprise platforms.
  • Experience building engineering dashboards, executive scorecards, operational KPIs, and adoption analytics.
  • Strong scripting and automation skills (Python, PowerShell, APIs, automation workflows).
  • Excellent communication, consulting, troubleshooting, stakeholder management, and customer success skills.

Technical Skills & Technologies:

The ideal candidate must have strong hands-on experience across many of the following technology areas:

  • Engineering Productivity Platforms: Jellyfish, Amplitude, Azure DevOps, GitHub, Jira
  • AI-DLC, AI-QE & AI AppOps: LangSmith, Promptfoo, LangFuse, Arize, Phoenix, AI observability and evaluation platforms
  • Integration & Automation: REST APIs, Webhooks, Python, PowerShell, JSON, enterprise integrations
  • Cloud & Identity: Microsoft Azure, Azure OpenAI, SSO, RBAC, identity integration
  • Engineering Analytics: Power BI or similar visualization platforms, engineering scorecards, KPIs, operational dashboards, adoption analytics
  • Engineering Practices: SDLC, Agile, DevSecOps, release management, platform operations, continuous improvement

Organizational Boundaries Owns:

  • AI Engineering productivity platforms
  • AI-DLC, AI-QE, AI AppOps, AI Observability, and AI Governance tools
  • Platform implementation, integration, onboarding, adoption, operations, optimization, and engineering analytics

Partners With:

  • AI Infrastructure & Cloud teams
  • Enterprise Data & Analytics Platform teams
  • Enterprise Architecture, Security, Product, and Engineering organizations

Success Measures

  • Rapid onboarding of engineering teams and applications.
  • High platform adoption, customer satisfaction, and feature utilization.
  • Reliable platform operations, availability, and operational maturity.
  • Actionable engineering dashboards and executive insights.
  • Optimized licensing, integrations, platform performance, and engineering productivity.
  • Continuous evolution of the AI engineering tooling ecosystem.

Apply