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Python Sql Jobs in Chicago, IL (NOW HIRING)

Next Step Systems

Data Engineer, Python & ETL

Chicago, IL · On-site

$118K - $141.60K/yr

Chicago IL Jobs, Data Engineer, Python, Linux, MS SQL Server, SQL Query Writing, Stored Procedures, Data Models, ETL, Programmer Analyst, Programming, Software Developer, Trading, Financial, Chicago ...

WonderBotz

Technical Program Manager - RPA & AI

Chicago, IL · On-site

$132.90K - $172K/yr

Familiarity with programming (.Net, Java, Python, SQL) is a plus. * Proficiency in process flow-charting tools (Visio or equivalent). * Extra: Experience with document management (Kofax, ABBYY), data ...

WonderBotz

Technical Program Manager - RPA & AI

Chicago, IL · On-site

$132.90K - $172K/yr

Familiarity with programming (.Net, Java, Python, SQL) is a plus. * Proficiency in process flow-charting tools (Visio or equivalent). * Extra: Experience with document management (Kofax, ABBYY), data ...

Alvarez and Marsal

Python Software Engineer

Chicago, IL

$70 - $90/hr

Description Python Software Engineer About Alvarez & Marsal Alvarez & Marsal (A&M) is a global ... Integrate with databases (SQL, NoSQL, or cloud-native data stores) and design effective data access ...

Alvarez & Marsal

Python Software Engineer

Chicago, IL · On-site

$70 - $90/hr

Description Python Software Engineer About Alvarez & Marsal Alvarez & Marsal (A&M) is a global ... Integrate with databases (SQL, NoSQL, or cloud-native data stores) and design effective data access ...

Next Step Systems

Experienced Trader

Chicago, IL · On-site

Chicago IL Jobs, Experienced Trader, Python, C++, Excel, VBA, SQL, Multi-Dimensional Arrays, Nested Loops, Large Data Sets, Programming, Programmer Analyst, Trading, Financial, Chicago Recruiters ...

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How much do python sql jobs pay per hour?

As of May 30, 2026, the average hourly pay for python sql in Chicago, IL is $60.39, according to ZipRecruiter salary data. Most workers in this role earn between $49.76 and $68.61 per hour, depending on experience, location, and employer.

What is a Python SQL job?

A Python SQL job typically involves using Python programming and SQL databases to develop, manage, and analyze data. Professionals in this role work with databases to write queries, retrieve and manipulate data, automate tasks, and optimize performance. Common responsibilities include database querying, data analysis, ETL processes, and backend development. These roles are common in industries like finance, healthcare, and technology, where data management and processing are critical.

What are the key skills and qualifications needed to thrive in the Python Sql position, and why are they important?

To excel in a Python SQL role, you should have strong programming skills in Python, a solid understanding of SQL for database querying, and a relevant degree in computer science or a related field. Experience with data analysis tools, relational database systems like MySQL or PostgreSQL, and certifications such as Microsoft SQL Server or Python programming can be advantageous. Strong problem-solving abilities, attention to detail, and clear communication are critical soft skills for this position. These competencies are necessary to efficiently manipulate data, create robust solutions, and collaborate across technical and non-technical teams.

What are some typical projects or tasks a Python SQL professional might work on?

Python SQL professionals often work on data extraction, transformation, and loading (ETL) processes, as well as analyzing large datasets to generate reports and insights for business decision-making. They may develop automated scripts to streamline data workflows and ensure data quality, or assist with database design and optimization. Collaboration with data analysts, engineers, and business stakeholders is common, so comfort working both independently and as part of a cross-functional team is beneficial. These tasks help organizations make data-driven decisions and maintain efficient, reliable data systems.
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Python Sql jobs near you
Infographic showing various Python Sql job openings in Chicago, IL as of May 2026, with employment types broken down into 77% Full Time, 13% Part Time, and 10% Contract. Highlights an 74% Physical, 5% Hybrid, and 21% Remote job distribution, with an average salary of $125,608 per year, or $60.4 per hour.
Lead Forward Deployed Architect (Palantir & Intelligent Automation Focus)

Lead Forward Deployed Architect (Palantir & Intelligent Automation Focus)

CoSourcing Partners

Chicago, IL • Hybrid

Other

Posted 26 days ago

Job description

Title: Lead Forward Deployed Architect (Palantir & Intelligent Automation Focus)
Client: Global AI Professional Services
Location: Chicago, Illinois - Hybrid
Employment Type: Contract-to-Hire (U.S. Citizen or Green Card Required)
Role Overview
CoSourcing Partners' AI Staffing and Digital Talent Enablement practice is expanding, and we are seeking three Lead Forward Deployed Architects to serve as hands-on technical authorities for our enterprise AI and data transformation programs.
These roles combine deep technical expertise in Palantir Foundry, AI/ML, and cloud-based data ecosystems with client-facing leadership to solve complex integration, scalability, and performance challenges. The ideal candidate operates comfortably at the intersection of business strategy and technical delivery - ensuring every solution is engineered for performance, governance, and measurable business value.
Key Responsibilities
  • Palantir Delivery Leadership: Design, configure, and optimize Palantir Foundry pipelines, ontologies, and data workflows to unify data and enable decision intelligence.
  • AI & Automation Solutions: Architect and deploy intelligent automation solutions leveraging Palantir Foundry, UiPath, and Microsoft Power Platform.
  • Data Engineering: Design, build, and optimize large-scale data pipelines (ETL/ELT, data warehousing, data lakes) ensuring scalability and performance.
  • Programming & Integration: Develop automation scripts and APIs using Python, SQL, and RESTful architectures for seamless platform interoperability.
  • Data Governance: Implement AI governance, metadata management, and compliance frameworks ensuring responsible and auditable automation.
  • Cloud & Data Architecture: Deliver secure, scalable ecosystems integrating Azure, AWS, GCP, Databricks, and Snowflake.
  • Client Engagement: Partner with business stakeholders to translate strategic requirements into actionable, high-value solutions.
  • Cross-Functional Collaboration: Work with engineering, compliance, and commercial teams to deliver end-to-end implementations.
  • Leadership & Enablement: Mentor global delivery teams and conduct user enablement, workshops, and documentation for sustainable adoption.

Preferred Qualifications
  • Hands-on experience with Palantir Foundry and AIP, including ontology design, pipeline management, and data lineage modeling.
  • Proven expertise in AI/ML model lifecycle integration and production deployment.
  • Familiarity with NoSQL databases (e.g., MongoDB, Cassandra).
  • Experience with Power BI, Tableau, or similar analytics tools.
  • Background in regulated industries such as healthcare, financial services, or defense.
  • Consulting or hybrid client-facing technical delivery experience.
  • Strong capability in performance and scalability tuning for enterprise systems.

Core Competencies
  • Enterprise AI & Automation Strategy
  • Palantir Foundry Architecture & Ontology Design
  • Cloud Modernization (Azure, AWS, GCP)
  • Data Fabric, MDM, and Governance
  • Intelligent Automation (UiPath, Power Automate)
  • GenAI & Agentic AI Integration
  • KPI Frameworks & Business Process Optimization
  • Cross-Functional Stakeholder Leadership

Technical Expertise
  • AI & Automation Platforms: Palantir Foundry, UiPath, Power Automate, Process Tempo, GenAI, Agentic AI, ChatGPT-based tools
  • Cloud & Data Platforms: Azure, AWS, Google Cloud (GCP), Databricks, Snowflake, Informatica, Reltio
  • Data Integration & Governance: APIs, Data Mesh, Data Fabric, Metadata Management, Data Quality, Cataloging
  • Analytics & BI: Power BI, Tableau, Predictive Modeling, KPI Dashboards
  • Programming & DevOps: Python, SQL, JSON, Terraform, CI/CD, Cloud Security
  • Palantir Competencies:
    • Ontology & Data Lineage Design
    • Foundry Pipeline Orchestration
    • Code Workbook & Contour Automation
    • Slate/Workshop Application Development
    • Governance & Permission Modeling

Performance Outcomes
  • Deliver measurable enterprise value across multiple AI and data transformation programs.
  • Generate multi-million-dollar efficiencies and revenue growth through automation and cloud modernization.
  • Drive measurable ROI by scaling transformation portfolios through data- and AI-driven decisioning.

Education
  • Master of Business Administration (MBA)
  • Master of Science (MS), Computer Science
  • Executive Certification, Program Management

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