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Temporary Azure Data Factory Jobs in Rolling Meadows, IL

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 ...

Omni Inclusive

Data Architect

Lisle, IL · On-site

$62.75 - $80.75/hr

Good Experience in Data platforms development using Azure SQL database, Azure Data Factory, Azure Storage, Azure Pipelines, Azure IaaS/PaaS related to database. Must be hands on, deeply technical and ...

Digitas

Senior PowerBI/ Azure Associate

Chicago, IL · On-site

The ideal candidate will have extensive experience with Power BI, Azure Data Factory or Synapse Pipelines solutions and eco-system. The Senior Technical person will play a critical role in analyzing ...

Diverse Lynx

Databricks ETL Data Engineer

Chicago, IL · On-site

Databricks ETL Data Engineer Databricks, ETL , Python Scripting, Data Factory, Data Migration Role Descriptions: Job Title Azure Databricks ETL EngineerExperience5-8 years Job SummaryWe are seeking ...

Excelgens

Data Architect

Chicago, IL · Hybrid

$65.75 - $84.50/hr

... Azure Data Factory & SSIS) 3. Expert-level knowledge of SQL Server 2014, 2016 and Azure SQL Database 4. Expert at writing Stored Procedure and troubleshooting 5. Must be a self-starter requiring ...

VBeyond

Lead AzureDataFactory Developer

Rolling Meadows, IL · Remote

$59.25 - $77.75/hr

Must have 10+ years of relevant experience in IT services * Design and implement data pipelines using Azure Data Factory * Manage and optimize data pipelines ensure data quality compliance

1872 Consulting

Azure Data Engineer

Chicago, IL · Hybrid

$118K - $141.80K/yr

Proficiency in Microsoft Fabric and related technologies (e.g., Azure Data Factory, Azure Synapse Analytics, etc.) * Strong SQL experience * Experience with Python programming * Experience with Spark ...

Georgia IT Inc

Sr. Data Engineer

Chicago, IL · On-site

$118K - $141.80K/yr

Design and develop data solutions using Azure, Azure Data Factory (ADF), and Synapse Data Warehouse. * Implement data processes using Azure Functions and Python. * Utilize Databricks and Spark for ...

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

As of May 28, 2026, the average hourly pay for temporary azure data factory in Rolling Meadows, IL is $58.74, according to ZipRecruiter salary data. Most workers in this role earn between $53.17 and $66.01 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 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 Temporary Azure Data Factory roles?

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.

Is ADF difficult to learn?

Azure Data Factory (ADF) is a data integration tool that requires understanding of data workflows, pipelines, and cloud concepts. While it has a learning curve for beginners, familiarity with SQL, data transformation, and cloud services can help accelerate the learning process. Many users find that hands-on practice and official documentation make mastering ADF achievable within a reasonable timeframe.

Is fabric replacing ADF?

Azure Data Factory (ADF) is a cloud-based data integration service used for creating data pipelines, while Microsoft Fabric is a new data platform that integrates multiple data tools and services. Fabric is designed to unify data management and analytics, but it does not replace ADF; instead, organizations may use both depending on their data architecture needs. Data engineers working with ADF should stay informed about Fabric's capabilities to leverage the best tools for their projects.

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 most commonly searched types of Azure Data Factory jobs in Rolling Meadows, IL? The most popular types of Azure Data Factory jobs in Rolling Meadows, IL are:
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What cities near Rolling Meadows, IL are hiring for Temporary Azure Data Factory jobs? Cities near Rolling Meadows, IL with the most Temporary Azure Data Factory job openings:
Temporary Azure Data Factory jobs near you
Azure Cloud Architect - AI/ML & Data Services - Niles, IL - Contract Opportunity

Azure Cloud Architect - AI/ML & Data Services - Niles, IL - Contract Opportunity

Zodiac Solutions

Niles, IL • On-site

$63.25 - $82.25/hr

Contractor

Posted 12 days ago

Job description

Role: Azure Cloud Architect – AI/ML & Data Services

Location: Niles, IL (Hybrid – 2-3 days office in a week)

Duration: Contract opportunity

Key Responsibilities

  • Architect, design, and implement end-to-end Azure cloud solutions with a focus on AI/ML workloads, data engineering pipelines, and platform infrastructure.
  • Lead the adoption and integration of Azure AI/ML services including Azure Machine Learning, Azure OpenAI Service, Cognitive Services, and Snowflake.
  • Define and enforce cloud architecture standards, patterns, and best practices across development teams.
  • Design secure, scalable data platforms using Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, and related services.
  • Collaborate with data scientists and ML engineers to operationalize ML models through MLOps practices (CI/CD for models, monitoring, retraining pipelines).
  • Drive infrastructure-as-code (IaC) adoption using Terraform, Bicep, or ARM templates.
  • Conduct architecture reviews, cloud readiness assessments, and provide technical guidance on migrating on-premises workloads to Azure.
  • Ensure compliance with security, governance, and cost management requirements (Azure Policy, RBAC, Defender for Cloud, FinOps).
  • Mentor and upskill engineering teams on Azure best practices and AI/ML service capabilities.
  • Engage with stakeholders to present architecture proposals, roadmaps, and technical recommendations.

Required Qualifications

  • 8+ years of experience in cloud architecture and engineering, with at least 5 years focused on Microsoft Azure.
  • Proven experience architecting and deploying AI/ML solutions on Azure at scale.
  • Deep hands-on expertise with Azure ML, Azure OpenAI, Azure Databricks, Synapse Analytics, Data Factory, and Azure Kubernetes Service (AKS).
  • Strong proficiency in infrastructure-as-code using Terraform, Bicep, or ARM templates.
  • Solid understanding of MLOps, DevOps, and CI/CD pipelines (Azure DevOps, GitHub Actions).
  • Experience with cloud networking, security architecture, identity management (Entra ID / AAD), and compliance frameworks on Azure.
  • Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders.
  • Microsoft Azure certifications (e.g., Azure Solutions Architect Expert – AZ-305, Azure AI Engineer – AI-102).
 
Thanks,
Sanjay Kumar
sanjay.kumar@zodiac-solutions.com