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Data Engineer Python Jobs in Illinois (NOW HIRING)

Inspire11

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

The Data Engineer role involves designing and building data foundations that power analytics and AI ... Responsibilities : • Design and build scalable data pipelines using Python, PySpark, SQL, and ...

Inspire11

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

As a Data Engineer, you will design and build data foundations that power analytics and AI ... Responsibilities : • Design and build scalable data pipelines using Python, PySpark, SQL, and ...

Spruce Infotech

Snowflake Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Experience in Data Engineering with strong Snowflake expertise ... Strong hands-on experience with SQL, Python, ETL/ELT, and data pipelines . * Experience with AWS ...

Black Cape

Data Engineer

Virginia, IL · On-site

$112K - $134K/yr

Data Engineer (2+ years - Senior Level) Locations: Arlington / Pentagon, VA, Reston, VA and areas ... Python experience with data manipulation, scripting, and more * Databricks experience * Proficient ...

Delaware Nation Industries

Data Engineer

Dahlgren, IL · On-site

$110K - $132K/yr

DNI is seeking a highly qualified Data Engineer to support the Joint Warfare Analysis Center (JWAC ... such as Python, Jupyter, Amazon SageMaker Studio, AWS Glue DataBrew, or Amazon QuickSight.

Hightower

Data Engineer

Chicago, IL · On-site

$100K - $115K/yr

A Data Engineer builds or maintains data management systems, such as databases and data pipelines ... Build and maintain Snowflake and RDS data pipelines using Python, dbt, Mulesoft, Git, and GitHub ...

hightower

Data Engineer

Chicago, IL · Hybrid

$100K - $115K/yr

A Data Engineer builds or maintains data management systems, such as databases and data pipelines ... Build and maintain Snowflake and RDS data pipelines using Python, dbt, Mulesoft, Git, and GitHub ...

DeKalb Health

Data Engineer

Romeoville, IL · On-site

$116K - $140K/yr

Job Summary The Data Engineer plays a crucial, cross-functional role here at Magid. This is a high ... Proficiency in Python (or similar) and comfort using Git and code reviews to collaborate

Magid Glove & Safety

Data Engineer

Romeoville, IL · On-site

$116K - $140K/yr

Job Summary The Data Engineer plays a crucial, cross-functional role here at Magid. This is a high ... Proficiency in Python (or similar) and comfort using Git and code reviews to collaborate

Rush University Medical Center

Data Engineer

Chicago, IL · On-site

$46.07 - $68.64/hr

... programming skills in Python, SQL NoSQL, and Spark. • Ability to manage multiple projects ... data processing. • Data management experience. • Experience in ETL Tools such as Pentaho ...

SYSTEGRATION INC

dbt / Data Engineer

Des Plaines, IL · On-site

$111K - $134K/yr

dbt / Data Engineer Direct Client Location: Des Plaines, IL -- Hybrid, ~50% onsite Engagement ... ADF (Azure Data Factory), Python, Git Data Modeling: Star schema, dimensional modeling, Data Vault ...

Saigepartners

Data Engineer

Champaign, IL · On-site

$125/hr

Data Engineer · Location: Columbus, OH (Onsite - based out of Champaign, IL) · Job Type: Direct ... Proficiency in Python and SQL, with experience developing efficient, maintainable code for large ...

SYSTEGRATION INC

dbt / Data Engineer

Des Plaines, IL · On-site

$111K - $134K/yr

dbt / Data Engineer Direct Client Location: Des Plaines, IL -- Hybrid, ~50% onsite Engagement ... ADF (Azure Data Factory), Python, Git Data Modeling: Star schema, dimensional modeling, Data Vault ...

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All JobsData Engineer Python JobsData Engineer Python Jobs in Illinois

Data Engineer Python information

See Illinois salary details

$22.3K

$135.6K

$196.2K

How much do data engineer python jobs pay per year?

As of Sep 10, 2026, the average yearly pay for data engineer python in Illinois is $135,635.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,100.00 and $159,400.00 per year, depending on experience, location, and employer.

What is a data engineer python?

A Data Engineer Python job involves designing, building, and maintaining data pipelines using Python. These professionals ensure data is collected, processed, and stored efficiently for analytics and machine learning. They work with databases, cloud platforms, and big data technologies to optimize data workflows. Strong Python skills, SQL knowledge, and experience with ETL processes are essential for this role.

What does a data engineer python do?

As a Data Engineer Python, your daily tasks will often include designing, building, and maintaining robust data pipelines to collect, process, and store large sets of structured and unstructured data. You’ll frequently work with Python to automate data workflows and ensure data quality, while also collaborating with data scientists, analysts, and other engineering teams to support shared objectives. Monitoring system performance, troubleshooting issues, and optimizing data processes for scalability and efficiency are also key parts of the role. This position offers an engaging mix of technical problem-solving and cross-functional teamwork in a dynamic data-driven environment.

What are the key skills and qualifications needed to thrive in the data engineer python position?

To thrive as a Data Engineer Python, you need strong programming skills in Python, a solid understanding of data modeling, ETL processes, and often a degree in computer science or a related field. Experience with big data tools like Apache Spark or Hadoop, cloud data platforms such as AWS or Azure, and certifications in data engineering are valuable assets. Analytical thinking, attention to detail, and effective communication are important soft skills for collaborating across teams and solving complex data challenges. These qualifications are critical for successfully designing, building, and maintaining scalable data pipelines that support organizational decision-making.

How much does a Data Engineer Python make?

A Data Engineer specializing in Python typically earns between $90,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with expertise in big data tools like Spark or Hadoop may have higher salaries, especially in high-demand markets.

What are the most commonly searched types of Data Engineer Python jobs in Illinois?

The most popular types of Data Engineer Python jobs in Illinois are:

What are popular job titles related to Data Engineer Python jobs in Illinois?

For Data Engineer Python jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Data Engineer Python jobs in Illinois look for?

The top searched job categories for Data Engineer Python jobs in Illinois are:

Data Engineer Python jobs near you
Infographic showing various Data Engineer Python job openings in Illinois as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $135,635 per year, or $65.2 per hour.

Data Engineer

Chicago, IL • On-site

Inspire11
Business Management Consulting • 51 - 200 employees
Learn more about Inspire11external

$118K - $141K/yr

Full-time

Re-posted 28 days ago

Job description

Job Summary:
Inspire11 is a modern business and technology consulting firm focused on creating measurable value for their clients. The Data Engineer role involves designing and building data foundations that power analytics and AI, transforming raw data into analysis-ready assets to drive client value.
Responsibilities:
• Design and build scalable data pipelines using Python, PySpark, SQL, and similar frameworks and languages to ingest, transform, and prepare data for analytics and AI use cases.
• Develop AI-first, cloud-native data solutions using Microsoft Fabric, Databricks, Snowflake, and similar modern cloud data platforms.
• Define and build scalable ingestion patterns for structured and unstructured data
• Analyze data structures and sources to define transformation logic and ensure data quality and consistency.
• Implement data models and governance practices, including privacy controls such as PII masking and tokenization.
• Apply software development best practices—including version control, unit testing, and CI/CD pipelines—to deliver reliable and maintainable code.
• Collaborate with business and technical teams to translate requirements into clear technical designs using source-to-target mapping and logical models.
• Support data consumption needs by creating BI-ready datasets and enabling reporting, dashboards, and AI use cases.
• Engage directly with clients to share progress, provide recommendations, and align on deliverables.
• Explore emerging tech, including practical applications of AI/ML to automate data workflows, improve pipeline observability, and optimize performance.
• Bring a forward-thinking mindset to AI-powered solutions, including agentic solutions and LLM integrations, helping clients and teams navigate what's possible as the AI landscape evolves.
Qualifications:
Required:
• 3+ years of experience in data engineering, analytics engineering, or software development.
• Proficiency in SQL and Python, with hands-on experience building or maintaining data pipelines.
• Experience with cloud hyperscaler platforms including AWS, Azure, or GCP.
• Experience with modern cloud data stacks, such as Fabric, Databricks, Snowflake, Synapse, or Redshift.
• Understanding of AI/ML concepts, and curiosity to explore their role in data automation and augmentation.
• Experience with data warehouse design, dimensional modeling, or analytical data models.
• Knowledge of software development practices, including Git, automated testing, and CI/CD.
• Awareness of data governance and security principles, including privacy, cataloging, and compliance.
• Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.
• Bachelor’s degree in Computer Science, Engineering, or a related field—or equivalent training and project experience.
Company:
Inspire11 is a service, digital, and management consulting firm dedicated to making an impact for clients, employees, and communities. It is a sub-organization of Insight. Founded in 2016, the company is headquartered in Chicago, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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