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Trainee Azure Data Factory Developer Jobs in Deerfield, IL

Data Engineering & Pipeline Development · Design, develop, and maintain scalable data pipelines using Azure Data Factory, Databricks, Foundry, and Microsoft Fabric. · Build and optimize data ...

Data Support Engineer

Chicago, IL · On-site

$80 - $100/hr

Experience with Git/Azure DevOps for code management. * Problem-Solving: Strong analytical skills ... Data orchestration tools (e.g., Apache Airflow, Azure Data Factory). * Data governance tools (e.g ...

Data Engineer

Chicago, IL

$118K - $141K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

ETL Developer

Hinsdale, IL · On-site

$51.25 - $67/hr

Data Engineering & Pipeline Development ... Design, develop, and maintain scalable data pipelines using Azure Data Factory, Databricks, Foundry ...

Sr. Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... Azure Data Factory (ADF), and Synapse Data Warehouse. • Implement data processes using Azure ... • Mentor junior engineers and ensure adherence to best practices in all data projects.

Data Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

... Data Engineering, Data Factory, OneLake, and semantic model concepts. * Experience designing modern lakehouse, warehouse, and data integration architectures using Microsoft Fabric, Azure Data ...

Data Architect

Chicago, IL · On-site

$125 - $150/hr

... Data Engineering, Data Factory, OneLake, and semantic model concepts. * Experience designing modern lakehouse, warehouse, and data integration architectures using Microsoft Fabric, Azure Data ...

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 ...

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 ...

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

Azure Data Factory, Azure Synapse, or Microsoft Fabric experience * Experience with Kafka or event ... Prior experience mentoring engineers or leading technical initiatives What You Will Be Doing Tech ...

Showing results 21-40

Trainee Azure Data Factory Developer information

See Deerfield, IL salary details

$11

$59

$81

How much do trainee azure data factory developer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for trainee azure data factory developer in Deerfield, IL is $59.39, according to ZipRecruiter salary data. Most workers in this role earn between $53.80 and $66.73 per hour, depending on experience, location, and employer.

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Infographic showing various Trainee Azure Data Factory Developer job openings in Deerfield, IL as of June 2026, with employment types broken down into 17% Full Time, and 83% Part Time. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $123,534 per year, or $59.4 per hour.

$107K - $143K/yr

Full-time

Posted 13 days ago


Job description

The Data Engineer is responsible for designing, developing, and optimizing enterprise data pipelines and data

platforms. This role focuses on building scalable, efficient, and secure data solutions using modern cloud

technologies. The engineer collaborates with analytics, BI, and business teams to transform requirements into

reliable data assets that support reporting, analytics, and operational needs.


Data Engineering & Pipeline Development

· Design, develop, and maintain scalable data pipelines using Azure Data Factory, Databricks, Foundry, and

Microsoft Fabric.

· Build and optimize data ingestion, transformation, and integration processes across structured and

unstructured data sources.

· Develop and support data lakes, lakehouses, and data warehouse environments using MSSQL and cloud-

native platforms.

· Implement ETL/ELT best practices to ensure performance, reliability, and data quality.

· Automate data workflows and monitor pipeline health; identify and resolve issues promptly.

Collaboration & Solution Delivery

· Work closely with analytics, BI, and business teams to understand data requirements and translate them

into technical solutions.

· Partner with cross-functional teams to support data-driven initiatives and ensure pipelines align with

reporting and operational needs.

· Contribute to documentation of data structures, transformation logic, and system dependencies.

Technology Enablement & Best Practices

· Contribute to evaluating and adopting new tools, frameworks, and technologies that enhance data

engineering efficiency and scalability.

· Follow standards for code quality, testing, version control, and documentation.

· Apply data governance, quality, and reliability principles in daily engineering work.

Business Intelligence & Analytics Support

· Build reusable data models and curated datasets to enable self-service analytics.

· Ensure downstream BI teams receive accurate, well-structured, and timely data.

· Transform business requirements into scalable and maintainable technical designs.

Compliance & Security

· Ensure data engineering solutions align with privacy regulations such as GDPR and HIPAA, as well as internal security requirements. · Maintain proper data access controls and contribute to monitoring data quality and compliance metrics.


Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.

· 5–7 years of experience in data engineering, ETL/ELT development, or cloud data platforms.

· Hands-on experience with Azure Data Factory, Databricks, Microsoft Fabric, and MSSQL.

· Strong knowledge of data lake, lakehouse, and data warehouse architectures.

· Solid understanding of ETL/ELT processes, data modeling, and metadata management.

· Proficiency in SQL and Python; familiarity with cloud platforms and big data technologies.

· Ability to diagnose data issues, optimize performance, and work with cross-functional technical and

business teams.

Preferred Certifications

· Microsoft Certified: Azure Data Engineer Associate

· Databricks Certified Data Engineer

· Certifications related to data governance, risk, or compliance

· Master’s degree in Computer Science, Information Systems, or related fields


We offer a comprehensive benefit package. For a complete overview of our benefits package, please visit our Joint Commission Career Page 

We are an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.


USD $107,000.00/year
USD $143,000.00/year