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Temporary Azure Data Factory Jobs (NOW HIRING)

Azure Data Engineer

Redmond, WA · On-site

$61.50 - $76.50/hr

Responsibilities : • Expertise with Azure data services, such as Microsoft Fabric, Azure Analysis Services, Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage, Azure Data Factory ...

Azure PAAS Developer

San Ramon, CA · On-site

$60.25 - $74.75/hr

... Data factory , Azure Power Shell scripting and CLI. • Knowledge of SQL and no-Sql. • Good to have Knowledge in Analytics Models and Store Procedures. • Knowledge of SQL query is a must.

Azure Data Architect

Dublin, OH · On-site

$61.25 - $79.75/hr

Strong experience with Azure data tools (e.g., Azure Data Factory, Fabric, Synapse, Databricks, ADLS) * Proven ability to evaluate and recommend architecture solutions * Solid understanding of data ...

Azure Consultant

Boston, MA · On-site

$59.75 - $74.25/hr

The role focuses on utilizing Azure technologies such as Data Bricks, Data Lake storage, and Azure Data Factory. Qualifications : Required : • Data Bricks highly preferred Delta Lake • Data Lake ...

Experience with Azure Databricks, Azure Data Factory, and ADLS Gen2. * Knowledge of Apache Spark, Delta Lake, Data Lakehouse architecture, and distributed computing. * Experience with MS SQL and ...

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

Azure Data Lead

New York, NY · On-site

$60 - $65/hr

Experience with Azure Databricks, Azure Data Factory, and ADLS Gen2. * Knowledge of Apache Spark, Delta Lake, Data Lakehouse architecture, and distributed computing. * Experience with MS SQL and ...

Required : • Azure Data Lake (Mandatory) • Data Factory (Mandatory) • Synapse/SQL Datawarehouse - (Mandatory) • Scala or Python or Spark, #C/.Net- working knowledge of one of the languages ...

Azure Data Lead

Manhattan, NY · On-site

$60 - $65/hr

Experience with Azure Databricks, Azure Data Factory, and ADLS Gen2. Knowledge of Apache Spark, Delta Lake, Data Lakehouse architecture, and distributed computing. Experience with MS SQL and Oracle ...

Azure Data Engineer

Atlanta, GA

$110K - $132K/yr

Azure Data Factory * Azure Data Lake Storage * Azure Synapse Analytics * SQL and Python * ETL/ELT development * Data modeling and data warehousing * Data integration and pipeline development * Azure ...

.NET Azure Fullstack Developer

Bellevue, WA · Remote

$56.25 - $69.75/hr

Experience with Azure Data Factory (ADF) * Experience with Azure Cloud Services * Experience with Kusto and Azure Data Platforms * Experience with Power BI Reporting Solutions * Experience with ...

Azure Cloud Developer

Princeton, NJ · On-site

$58.25 - $72.25/hr

Required : • Azure Data FactoryAzure Logic Apps • Azure Functions • Azure Service Bus • Azure SQL Database • SQL • Databricks • 3+ years' programming experience with JavaScript • ...

Data Engineer (Azure / Spark)

New York, NY · Remote

$56.25 - $69.75/hr

Azure Data Factory (ADF): Hands-on experience building and orchestrating ETL pipelines. * HDInsight: Deploying and managing Hadoop/Spark clusters for large-scale analytics. * Azure Data Lake Storage ...

Showing results 41-60

Temporary Azure Data Factory information

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$79

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

As of Sep 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 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.

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:

What states have the most Temporary Azure Data Factory jobs?

States with the most job openings for Temporary Azure Data Factory jobs include:

Infographic showing various Temporary Azure Data Factory job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.

Azure Data Engineer || Dallas, TX (Onsite)

Dallas, TX • On-site

Zodiac Solutions
Library and Information Services • 11 - 50 employees

$60 - $63/hr

Contractor

Re-posted 9 days ago


Job description

Title : Azure Data Engineer 

Location : Dallas, TX (Onsite)

Job Description:

Candidate Profile / Qualification

·       A Minimum of a Bachelor’s degree in Computer Science or related software engineering discipline, or equivalent

·       7-9 years of experience managing SQL Queries, Data Lake, Data Bricks, PySpark, Synapse, Data factory etc.

·       Strong ETL pipeline development experience with Azure Ecosystem like Azure Data Bricks, Azure Data Factory. Build simple to complex notebooks, pipelines, activities, Datasets & data flows.

·       Experience with message ingestion systems like Kafka / Azure Event Hub.

·       Experience in data modelling and Proficient in SQL developer skills in writing stored procedures, functions, transformations etc.

·       Experience in PySpark and data factory is must

·       Knowledge in Service provisioning, scripted provisioning, blueprint development for data service deployment etc.

·       Excellent oral and written communication skills.

·       Candidate should possess a strong work ethic, good interpersonal and communication skills, and a high energy level