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Afternoon Data Engineer Python Jobs in Illinois (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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.

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 ...

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 ...

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

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

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 ...

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 ...

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 ...

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 ...

Showing results 41-60

Afternoon Data Engineer Python information

What is the difference between Afternoon Data Engineer Python vs Data Analyst?

AspectAfternoon Data Engineer PythonData Analyst
Required SkillsPython, SQL, ETL, cloud platforms, data modelingExcel, SQL, data visualization, basic Python
Work EnvironmentData pipelines, backend systems, cloud infrastructureReporting, dashboards, business insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis or business intelligence certifications

Afternoon Data Engineer Python roles focus on building and maintaining data pipelines using Python and related technologies, often in cloud environments. Data Analysts primarily interpret data through visualization and reporting tools. While both roles require SQL and data handling skills, data engineers work more on infrastructure, whereas data analysts focus on insights and presentation.

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 cities in Illinois are hiring for Afternoon Data Engineer Python jobs?

Cities in Illinois with the most Afternoon Data Engineer Python job openings:

Data Engineer

Chicago, IL • On-site

Inspire11
Business Management Consulting • 51 - 200 employees

$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.