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Freelance Azure Data Engineer Jobs in Illinois (NOW HIRING)

Azure Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Georgia IT, Inc. is seeking an Azure Data Engineer to join their team. The role involves leveraging Azure technologies and DataOps practices to automate the building, testing, and deployment of data ...

Azure Data Architect

Chicago, IL · On-site

$65.50 - $85.25/hr

Mentor data engineers and technical teams and provide guidance on architecture, design, and implementation. * Ensure solutions follow Azure security, compliance, governance, and enterprise ...

New

Azure Data Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

Partner with business, data engineering, and platform teams to enable Insights creation for delivering more value * Support Azure-based data platforms and data products, optimizing models for ...

Data Engineer

Oak Brook, IL · On-site

$107 - $143/hr

Design, develop, and maintain scalable data pipelines using Azure Data Factory, Databricks, Foundry ... Ensure data engineering solutions align with privacy regulations such as GDPR and HIPAA, as well as ...

Data Engineer

Villa Park, IL · On-site

$107K - $143K/yr

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

Data Engineer

Villa Park, IL · On-site

$107K - $143K/yr

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 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 ...

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Freelance Azure Data Engineer information

What does a freelance Azure Data Engineer do?

A Freelance Azure Data Engineer is a professional who designs, builds, and maintains data solutions on Microsoft Azure for various clients or organizations on a contract or project basis. Their responsibilities include developing data pipelines, managing data storage, ensuring data security, and optimizing data processes using Azure services like Azure Data Factory, Azure SQL Database, and Azure Databricks. They often work independently, collaborating with clients to understand requirements and deliver scalable, cloud-based data solutions. This role requires strong knowledge of cloud computing, data engineering best practices, and Microsoft Azure's suite of data tools.

What are the key skills and qualifications needed to thrive as a freelance Azure Data Engineer?

To thrive as a Freelance Azure Data Engineer, you need expertise in data modeling, ETL development, and a strong grasp of cloud data architectures, typically supported by a degree in computer science or related fields. Familiarity with Microsoft Azure data services (such as Azure Data Factory, Synapse Analytics, and Azure SQL Database), proficiency in SQL, and certifications like Microsoft Certified: Azure Data Engineer Associate are highly valuable. Strong problem-solving skills, effective communication, and the ability to work independently distinguish top freelancers in this role. These competencies are crucial for delivering scalable, efficient, and reliable data solutions that meet diverse client needs in dynamic project environments.

What are some common challenges faced by freelance Azure Data Engineers when working with multiple clients?

Freelance Azure Data Engineers often face challenges such as managing diverse client requirements, adapting to different data architectures, and ensuring data security across various environments. Balancing multiple projects can require strong time management and communication skills, especially when clients have overlapping deadlines or use different Azure services. Effective documentation and proactive communication with client teams are essential to align expectations and deliver consistent, high-quality solutions.

What is the difference between Freelance Azure Data Engineer vs Azure Data Analyst?

AspectFreelance Azure Data EngineerAzure Data Analyst
CredentialsAzure certifications, SQL, data engineering skillsAzure certifications, Power BI, data analysis skills
Work EnvironmentProject-based, remote or on-site, client-specificProject-based or full-time, remote or on-site, client or internal teams
Industry UsageUsed across industries for building data pipelines and infrastructureUsed for interpreting data, creating reports, and visualizations

Freelance Azure Data Engineers focus on designing and implementing data infrastructure using Azure, while Azure Data Analysts primarily analyze data and create visual reports. Both roles require Azure certifications but serve different functions in data management and analysis.

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

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

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

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

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

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

What cities in Illinois are hiring for Freelance Azure Data Engineer jobs?

Cities in Illinois with the most Freelance Azure Data Engineer job openings:

$113K - $136K/yr

Other

Posted 9 days ago


Job description

Role: Azure Data Engineer 

Experience: 5 Years 

Type: Full-Time

Mode: Onsite

Location: Barrington, IL

Job Description: -

  • Experience in Data Engineering, ETL, SQL Server, and data integration.
  • Strong hands-on expertise in SSIS and SQL Server Stored Procedures.
  • Excellent SQL skills including complex queries, CTEs, window functions, indexing, and performance tuning.
  • Experience developing and maintaining ETL workflows, data pipelines, data validation, and reconciliation.
  • Strong understanding of relational databases, data modeling, troubleshooting, and data quality.
  • Nice to Have: Azure Data Factory, Microsoft Fabric, Synapse, Databricks, Snowflake, ADLS, Power BI, Python, Azure DevOps/Git, and CI/CD.