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Temporary Azure Data Factory Jobs in Chicago, IL

Scigon Solutions

Azure Data Engineer

Chicago, IL · On-site

$97K - $130K/yr

The ideal candidate will have extensive hands-on experience with Azure Databricks, Azure Data Factory, Delta Lake, Apache Spark, and Medallion Architecture . Experience with Terraform and GitHub ...

New

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 ...

Paul Hastings

Senior Data Engineer

Chicago, IL

$194K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Temporary Regular Summary We have an opening for a Senior Data Engineer. The Senior Data Engineer ... Design, build and manage scalable data pipelines usingAzure Data Factory (ADF),Azure Data Lake ...

Rush University Medical Center

Data Engineer

Chicago, IL

$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 ...

Luxoft

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

Strong knowledge of Microsoft Azure, including Azure Data Lake Storage, Azure Synapse Analytics, Azure Data Factory, and Azure Databricks, pySpark for building scalable and reliable data solutions.

New

Gallagher

Data Engineer Manager- Contract

Rolling Meadows, IL · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

This is a Temp-To-Hire, W-2 position. We are not able to do 1099 or C2C. * It is a fully remote ... as Azure Data Factory and Databricks. * Construct and maintain enterprise-level integrations using ...

Dlapiper

Data Engineer

Chicago, IL

$118K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

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Temporary Azure Data Factory information

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

As of Aug 17, 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 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 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, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $125,138 per year, or $60.2 per hour.

Azure Data Engineer

Scigon Solutions

Chicago, IL • On-site

$97K - $130K/yr

Other

Posted 3 days ago

New

Job description


Azure Data Engineer Salary: $97,500-$130,000 Job Summary

We are seeking an experienced Azure Data Engineer with strong Databricks expertise to design, develop, and support scalable cloud-based data solutions. This role is responsible for building and maintaining modern data platforms on Microsoft Azure and Databricks, developing robust data pipelines, and enabling analytics and reporting initiatives across the organization.

The ideal candidate will have extensive hands-on experience with Azure Databricks, Azure Data Factory, Delta Lake, Apache Spark, and Medallion Architecture. Experience with Terraform and GitHub Actions is required to support infrastructure automation, CI/CD processes, and cloud platform administration.

Key Responsibilities
  • Design, develop, and maintain scalable data platforms and solutions on Microsoft Azure.
  • Build and optimize ETL/ELT data pipelines using Azure Data Factory and Azure Databricks.
  • Develop data transformation processes leveraging Apache Spark and Delta Lake technologies.
  • Implement and maintain Medallion Architecture (Bronze, Silver, Gold layers) to support enterprise analytics and reporting needs.
  • Collaborate with business stakeholders, analysts, data scientists, and application teams to understand data requirements and deliver solutions.
  • Design and implement efficient data models that support reporting, analytics, and business intelligence initiatives.
  • Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and scalability.
  • Develop and maintain CI/CD pipelines using GitHub Actions.
  • Provision and manage cloud infrastructure using Terraform and Infrastructure as Code (IaC) best practices.
  • Ensure data quality, governance, security, and compliance standards are met.
  • Provide production support and resolve issues related to data integration and platform performance.
  • Document technical designs, architectures, standards, and operational procedures.

Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
  • 5+ years of experience in Data Engineering or related technical roles.
  • Strong experience with:
    • Azure Databricks
    • Azure Data Factory (ADF)
    • Azure Data Lake Storage (ADLS)
    • Apache Spark (PySpark preferred)
    • Delta Lake
    • SQL and data modeling
  • Experience implementing Medallion Data Architecture.
  • Hands-on experience with Terraform for infrastructure automation.
  • Experience building CI/CD pipelines using GitHub Actions.
  • Strong knowledge of cloud-native data engineering best practices.
  • Experience working in Agile environments.
  • Excellent analytical, troubleshooting, and problem-solving skills.

Preferred Qualifications
  • Microsoft Azure certifications.
  • Experience with Azure Synapse Analytics.
  • Experience with Power BI or other analytics platforms.
  • Knowledge of data governance and data security frameworks.
  • Experience supporting large-scale enterprise data environments.

Key Competencies
  • Data Engineering
  • Cloud Architecture
  • ETL/ELT Development
  • Infrastructure as Code (Terraform)
  • CI/CD Automation
  • Data Modeling
  • Problem Solving
  • Communication and Collaboration
  • Performance Optimization
  • Stakeholder Management

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