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Temporary Azure Data Factory Jobs (NOW HIRING)

Cloud think technologies LLC

Azure Data Engineer

Weehawken, NJ · On-site

$59.75 - $74.25/hr

Primary skill- 1. Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service is required 2. Designing and building of data pipelines using API ...

talentmovers inc

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

... Factory. · Build simple to complex pipelines, activities, Datasets & data flows · Utilize Azure compute services [Databricks, Data Lake Store, PySpark, Apache Spark, Synapse, Data Factory] to ...

Sapsol Technologies Inc

Azure Data Engineer

$117K - $140K/yr

Azure Data Engineer Associate (or higher), Azure Data Factory, Job Summary: We are seeking a highly skilled Data Engineer with strong expertise in Azure Data Factory , Azure Databricks , Oracle , and ...

ACCLiiVE

Azure Data Engr

Houston, TX · On-site

$52.50 - $65.25/hr

Azure Data Factory (ADF) Azure Databricks Python Spark SQL & PySpark Azure Synapse, Azure SQL, Azure DWH Azure Data Lake Storage / Analytics Azure Database Migration Services Knowledge in older ...

Cognizant

SR Azure Data Factory with SSIS- Remote

$117K - $140K/yr

They are seeking a skilled Azure Data Engineer with strong experience in Azure Data Factory and SSIS to design, develop, and optimize scalable ETL/ELT data pipelines that support enterprise data ...

Embtel Inc

Azure Data Bricks Consultant

Fort Worth, TX · On-site

$52.75 - $65.50/hr

Implement data migration and data engineering solutions using Azure products and services: (Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure ...

Trinity Technology Solutions

Azure Data Architect

Boston, MA · On-site

$69 - $90/hr

Working with data technologies such as Azure Databricks, Azure Data Factory, and OpenAI Qualifications Job Requirements: 5-10 years of experience in data architecture Five plus years of working with ...

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

As of Jul 13, 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 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 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.
More about Temporary Azure Data Factory jobs
What cities are hiring for Temporary Azure Data Factory jobs? Cities with the most Temporary Azure Data Factory job openings:
What are the most commonly searched types of Azure Data Factory jobs? The most popular types of Azure Data Factory jobs are:
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What job categories do people searching Temporary Azure Data Factory jobs look for? The top searched job categories for Temporary Azure Data Factory jobs are:
Temporary Azure Data Factory jobs near you
Infographic showing various Temporary Azure Data Factory job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.
W2 - DATABASE DEVELOPER/ENGINEER- PYTHON / AZURE DATA FACTORY / AZURE DB

W2 - DATABASE DEVELOPER/ENGINEER- PYTHON / AZURE DATA FACTORY / AZURE DB

Aptiva Corp

Overland Park, KS • On-site

$54.25 - $67.50/hr

Full-time

Re-posted 16 days ago

Job description

 
 

ROLE : DATABASE DEVELOPER (PYTHON / AZURE DATA FACTORY / AZURE DB)

LOCATION : OVERLAND PARK, KS

DAY 1 ONSITE

5 DAYS/WEEK

We are looking for a highly skilled and experienced Database Developer with deep expertise in Python programming , Azure Data Factory (ADF) , and Azure SQL / Cosmos DB / other Azure databases . The ideal candidate will have a strong background in data engineering, ETL pipeline development, and cloud-based database solutions.

RESPONSIBILITIES:

  • Design, develop, and maintain robust ETL pipelines using Azure Data Factory
  • Write clean, efficient, and reusable Python code for data ingestion, transformation, and automation tasks
  • Work with Azure SQL Database, Azure Cosmos DB , and other Azure data storage services to manage data structures and optimize performance
  • Collaborate with data analysts, engineers, and business teams to gather requirements and deliver scalable data solutions
  • Implement data validation, quality checks, and monitoring across data pipelines
  • Troubleshoot and resolve data pipeline issues and performance bottlenecks
  • Ensure security and compliance across data processes and platforms

QUALIFICATIONS:

  • 5+ years of experience in database development / data engineering
  • Strong expertise in Python , especially for data processing and scripting
  • Proven hands-on experience with Azure Data Factory (ADF) , including pipeline creation, data flows, and triggers
  • Experience with Azure SQL Database , Cosmos DB , or similar cloud-native databases
  • Solid understanding of ETL/ELT concepts , data modeling , and data warehousing
  • Familiarity with version control systems (e.g., Git) and CI/CD pipelines in data workflows
  • Excellent problem-solving and debugging skills
  • Strong communication skills and ability to work in a collaborative environment

BEHAVIORAL SKILLS:

  • Azure Certifications (e.g., Azure Data Engineer Associate )
  • Experience with Databricks , Synapse Analytics , or Power BI
  • Exposure to big data ecosystems and tools