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Temporary Azure Data Factory Jobs (NOW HIRING)

Reliable Software Resources

Azure Data Architect

Detroit, MI · On-site

$58 - $75.75/hr

Extensive experience with Azure Data Factory and data pipeline development. * Hands-on experience with Microsoft Fabric. * Strong experience with Azure Synapse Analytics. * Hands-on experience with ...

SANS

Azure Data Engineer

Weehawken, NJ · On-site

$60 - $74.25/hr

Build and manage scalable data pipelines using Azure Data Factory (ADF) and Azure Synapse Analytics. * Manage storage infrastructure including Azure Data Lake Gen2 and Azure Storage Accounts.

NAVA Software Solutions

Azure SQL Developer

Weehawken, NJ · On-site

$59.75 - $74.25/hr

TSQL Programmer and Batch Developer (Using Azure Data Factory and Python Scripting) * Experience in Requirement Analysis, Strategic Analysis, Software Development Fundamentals, Design, Development ...

ACI Infotech

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

ADLS Gen2, Azure Data Factory, Azure Databricks, Synapse Analytics,Azure DevOps:-Boards, Repos, Pipelines, Test Plans * Databases: * Must Have: SQL servers/SQL databases, MongoDB, * BI Platforms:

NAVA Software Solutions

Azure Data Architect

Atlanta, GA · On-site

$61 - $79.50/hr

Strong experience in ADLS, Data Lake, Delta Lake Gen II, Synapse, Azure data Factory, Azure data bricks * Data Processing, batch processing, data cleansing, DQ * Data Services like Azure analytics ...

Scigon Solutions

Azure Data Engineer

Camden, NJ · 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 ...

Prophecy Technologies

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

This role involves designing, developing, and maintaining scalable data pipelines utilizing Azure Data Factory (ADF), Databricks, and Snowflake to support enterprise data and analytics initiatives.

Jobtailor

Azure Integration Developer

San Antonio, TX · On-site

$90 - $140/hr

Design and implement data pipelines for moving, transforming, and storing data across systems using Azure Data Factory (ADF) or Logic Apps * Design, develop, and maintain Azure Logic Apps to automate ...

SmartIPlace

Azure DataLake Engineer [remote]

Houston, TX · On-site

$52.50 - $65.25/hr

Top 3 Must Skills 1. 12+ years hands-on experience building scalable ETL/ELT pipelines using Azure Data Factory (mapping data flows, pipelines, triggers)& Synapse pipelines. 2. Experience building ...

NAVA Software Solutions

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Hands-on experience on Azure Platform including Data Factory, Synapse, Data Lake Gen2, CICD, DevOps. * Strong exp in SQL Server DB, SQL Server Data Warehouse. * Collaborate with project stakeholders ...

Centstone

Senior Azure Data Architect

Hazlet, NJ · On-site

$65.50 - $85.25/hr

Define and implement data ingestion pipelines using Azure Data Factory, Azure Databricks, Azure Synapse, and related services. * Design scalable and secure data models for clinical, claims, EMR/EHR ...

Sarian, Inc.

Azure Data Technical Lead

$65 - $84.75/hr

Azure Synapse Analytics, Azure Data Lake, Azure Data Factory, Azure Databricks, and Azure SQL Database. • Data Architecture: Strong understanding of data modelling, ETL processes, data warehousing ...

Staffingine LLC

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Working Knowledge of Azure Data factory, Azure Data Lake, and Azure Data lake storage * Hands-on in Visualisation like Power BI * Implement end-to-end data pipelines using Cosmos Azure Data Factory

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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 23, 2026, the average hourly pay for temporary azure data factory in the United States is $58.40, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $65.62 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.

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Temporary Azure Data Factory jobs near you
Infographic showing various Temporary Azure Data Factory job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.

Azure Data Architect

Reliable Software Resources

Detroit, MI • On-site

$58 - $75.75/hr

Other

Posted 6 days ago

Job description

Position: Azure Data Architect

Location: Detroit, MI

Fulltime

Skills:

  • Strong experience as an Azure Data Architect
  • Strong knowledge of OneLake, Fabric Lakehouse, and Fabric Warehouse.
  • Extensive experience with Azure Data Factory and data pipeline development.
  • Hands-on experience with Microsoft Fabric.
  • Strong experience with Azure Synapse Analytics.
  • Hands-on experience with PySpark, Spark, Python, and SQL.
  • Strong understanding of modern data warehouse and data lakehouse architectures.
  • Experience designing and implementing Power BI solutions and semantic models.
  • Strong understanding of data integration, ETL/ELT, data modeling, and data engineering patterns.
  • Experience with Azure cloud data services and enterprise-scale data platforms.
    Strong understanding of data security, governance, data quality, and access-control principles.

Preferred Skills

  • Experience migrating traditional data warehouses to Microsoft Fabric.
  • Experience with Delta Lake and medallion architecture.
  • Knowledge of Fabric Data Engineering, Data Factory, Notebooks, and pipelines.
  • Experience with Azure DevOps and CI/CD for data platforms.
  • Experience with metadata-driven data pipelines and automation.
  • Knowledge of Power BI DAX and advanced semantic modeling.
  • Experience with enterprise data governance and Microsoft Purview.
  • Familiarity with real-time/streaming data architectures is a plus.

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