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Temporary Azure Data Factory Jobs in Evanston, IL

Georgia IT, Inc.

Azure Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... Data Factory, Azure Databricks, etc) • Provide code review and facilitate code management for the engineering team to ensure best practices and performance standards • 4 years in SDLC agile and ...

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 ...

Rush University Medical Center

Data Engineer

Chicago, IL · On-site

$46.07 - $68.64/hr

... Azure Data Factory, Apache Kafka and Apache Camel. • Experience designing and implementing analysis solutions on Hadoop-based platforms such as Cloudera Hadoop, or Hortonworks Data Platform or ...

Kanshe Infotech

Enterprise Data Architect

Chicago, IL · On-site

Azure Data Factory or Azure Databricks * Delta Lake / Lakehouse architecture * Experience evaluating SaaS/ERP solutions before procurement. * Strong executive and stakeholder communication skills.

Joint Commission

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 ...

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

As of Aug 29, 2026, the average hourly pay for temporary azure data factory in Evanston, IL is $56.05, according to ZipRecruiter salary data. Most workers in this role earn between $50.77 and $62.98 per hour, depending on experience, location, and employer.

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 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 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 popular job titles related to Temporary Azure Data Factory jobs in Evanston, IL?

For Temporary Azure Data Factory jobs in Evanston, IL, the most frequently searched job titles are:

What job categories do people searching Temporary Azure Data Factory jobs in Evanston, IL look for?

The top searched job categories for Temporary Azure Data Factory jobs in Evanston, IL are:

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Cities near Evanston, IL with the most Temporary Azure Data Factory job openings:

Temporary Azure Data Factory jobs near you

Azure Data Engineer with Databrick Exp

Syntricate Technologies

Chicago, IL • On-site

$56.75 - $70.25/hr

Full-time

Re-posted 5 days ago

Job description

Job Summary:
Syntricate Technologies is seeking an Azure Data Engineer with expertise in Databricks. The role involves creating Azure Databricks services, managing data storage, and developing data pipelines using Azure Data Factory.
Responsibilities:
• Creating Azure Databricks services
• Reading & writing data from/to Azure Blob storage & Azure Synapse Gen2 storage using Azure Databricks services after receiving in different formats (e.g. csv, Parquet, Jason etc.) from Snowflake DWH platform
• Hands-on experience in working with Databricks File system (DBFS)
• Experience in working with RDD, Dataframe, Azure SQL database
• Experience in constructing ingestion, transformation & egree pipelines using Azure Data Factory
• Experience in developing application service using Pyspark & Spark SQL
Qualifications:
Required:
• Very good knowledge in working with Azure Databricks services for data engineer
• Creating Azure Databricks services
• Reading & writing data from/to Azure Blob storage & Azure Synapse Gen2 storage using Azure Databricks services after receiving in different formats (e.g. csv, Parquet, Jason etc.) from Snowflake DWH platform
• Hands-on experience in working with Databricks File system (DBFS)
• Experience in working with RDD, Dataframe, Azure SQL database
• Experience in constructing ingestion, transformation & egree pipelines using Azure Data Factory
• Experience in developing application service using Pyspark & Spark SQL
Company:
Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and project management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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