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Temporary Azure Data Factory Jobs in Chicago, IL

Prophecy Technologies

Azure Data Analyst

Chicago, IL · On-site

Develop data solutions using Azure Data Factory (ADF)| Azure Databricks| and Snowflake.Create and optimize SQL-based data transformation processes.Support real-time and batch data processing ...

Brillius

Client

Chicago, IL · On-site

$56.75 - $70.25/hr

... Azure Data factory, T-SQL, Pyspark and Azure Data Lake Storage (ADLS), and Azure DevOps. Data ingestion to one or more Azure services (Azure Data Lake, Azure Storage, Azure SQL, Azure DW) and ...

Ethereum Technologies LLC

Azure Data Architect

Chicago, IL · On-site

$150 - $190/hr

Developing and researching technologies such as Databricks, Fabric, Snowflake, Azure SQL, Data Factory, Azure Key Vault, Entra, Private Endpoints, Azure AI Services, Open AI, Terraform, Azure DevOps, ...

New

Horizontal Talent

Data Engineer

Chicago, IL · Hybrid

$32 - $65/hr

Develop and implement data pipelines using Databricks and Azure Data Factory. * Contribute to large-scale data architecture efforts for enterprise-level use cases. * Support data migration activities ...

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How much do temporary azure data factory jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for temporary azure data factory in Chicago, IL is $60.16, according to ZipRecruiter salary data. Most workers in this role earn between $54.47 and $67.60 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a temporary Azure Data Factory specialist, and why are they important?

To thrive as a Temporary Azure Data Factory specialist, you need expertise in data integration, ETL processes, and proficiency with cloud-based data platforms, typically supported by experience in SQL and a background in computer science or related fields. Familiarity with Azure Data Factory, Azure SQL Database, Data Lake, and certifications like Microsoft Certified: Azure Data Engineer Associate are highly beneficial. Strong problem-solving, analytical thinking, and communication skills help you design efficient data pipelines and collaborate with diverse teams. These qualifications ensure reliable, scalable data solutions that meet organizational needs within tight project timelines.

What is the difference between Temporary Azure Data Factory vs Data Engineer?

AspectTemporary Azure Data FactoryData Engineer
CredentialsAzure certifications, data integration skillsData engineering certifications, SQL, cloud platform knowledge
Work EnvironmentCloud-based, project-specific, short-termLong-term, team-based, often on-premises or cloud
Employer & IndustryTech companies, consulting firms, project-based rolesLarge enterprises, finance, healthcare, ongoing data infrastructure

Temporary Azure Data Factory roles focus on short-term data integration projects using cloud tools, requiring specific Azure certifications. Data Engineers have broader responsibilities, building and maintaining data pipelines long-term, with more extensive technical skills. Both roles are vital in data management but differ mainly in scope and duration.

What are the typical challenges faced by professionals in a temporary Azure Data Factory role, and how can they be addressed?

Professionals in a Temporary Azure Data Factory role often face challenges such as quickly understanding existing data pipelines, integrating with legacy systems, and ensuring data security within tight project deadlines. Adapting to varying documentation standards and collaborating efficiently with cross-functional teams are also common hurdles. Success in this role often comes from leveraging strong communication skills, proactively seeking clarification from stakeholders, and maintaining a structured approach to troubleshooting and documentation. Familiarity with Azure's best practices and automation can help streamline onboarding and project delivery.

What is a temporary Azure Data Factory role?

Temporary Azure Data Factory roles refer to short-term positions where professionals are hired to design, implement, and manage data integration workflows using Microsoft Azure Data Factory. These roles often involve tasks such as building ETL pipelines, migrating data to the cloud, and ensuring the smooth flow of data between sources and destinations. Temporary roles are typically project-based or to cover peak workloads, providing organizations with specialized expertise for a limited duration.
What are the most commonly searched types of Azure Data Factory jobs in Chicago, IL? The most popular types of Azure Data Factory jobs in Chicago, IL are:
What are popular job titles related to Temporary Azure Data Factory jobs in Chicago, IL? For Temporary Azure Data Factory jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Temporary Azure Data Factory jobs in Chicago, IL look for? The top searched job categories for Temporary Azure Data Factory jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Temporary Azure Data Factory jobs? Cities near Chicago, IL with the most Temporary Azure Data Factory job openings:
Temporary Azure Data Factory jobs near you
Infographic showing various Temporary Azure Data Factory job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $125,138 per year, or $60.2 per hour.

Azure Data Analyst

Prophecy Technologies

Chicago, IL • On-site

Full-time

Posted 24 days ago

Job description

ROLE_DESCRIPTION -
Role Descriptions: Data Engineering & DevelopmentDesign and develop end-to-end data ingestion| transformation| and loading (ETL/ELT) pipelines.Build and maintain enterprise data lakes and data warehouses on Azure.Develop data solutions using Azure Data Factory (ADF)| Azure Databricks| and Snowflake.Create and optimize SQL-based data transformation processes.Support real-time and batch data processing requirements.Cloud & ArchitectureDesign scalable cloud-native data architectures.Evaluate and enhance existing data platforms and technology stacks.Implement secure| high-availability| and disaster recovery compliant solutions.Support data modernization and cloud migration initiatives.Data Governance & QualityEnsure data quality| lineage| metadata management| and governance standards.Partner with Data Governance teams and tools such as Collibra.Implement security| compliance| and regulatory controls across data platforms. DevOps & AutomationAutomate infrastructure provisioning using Terraform.Implement CI/CD pipelines using GitHub| Azure DevOps| or similar tools.Support DataOps and operational monitoring processes.
Essential Skills: Northern Trust is looking for an Azure Data Engineer to design| develop| and maintain enterprise-scale cloud data platforms. The role focuses on building scalable data pipelines| data lakes| data warehouses| and analytics solutions using Microsoft Azure technologies while supporting regulatory| reporting| and business intelligence requirements.
Skills: Digital : Microsoft Azure~Digital : Snowflake~Azure Data Factory
Experience Required: 10 & Above

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