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Temporary Azure Data Factory Jobs (NOW HIRING)

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 ...

Azure Data/Ops Architect

Dallas, TX · On-site

$62.75 - $81.75/hr

Experience with Azure Data Factory * Experience with PySpark * Experience Leading a team of 10 to 15 people onshore/ offshore mix (Leading, Mentoring, Managing) * Experience working within Retail ...

Azure Data Architect

Santa Clara, CA · On-site

$74.75 - $96.25/hr

... FACTORY, AZURE DATA LAKE, Stream Analytics, and Notification Hubs • Architect scalable data processing and analytics solutions, including technical feasibility for Big Data storage, processing and ...

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:

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 ...

Azure Data Architect

Tampa, FL · On-site

$60 - $78.25/hr

... Factory, Azure Synapse, and other relevant tools. • Ensure data security and compliance by implementing appropriate measures and best practices. • Perform data profiling, cleansing, and ...

Azure Data Architect

Atlanta, GA · On-site

$61 - $79.50/hr

Deep experience with Azure Data Factory (ADF), ADLS, and Azure Synapse Analytics. * Expert-level ability with Databricks for large-scale data processing and analytics. * Strong experience using dbt ...

$46.75 - $61/hr

Deep experience with Azure Data Factory (ADF), ADLS, and Azure Synapse Analytics. * Expert-level ability with Databricks for large-scale data processing and analytics. * Strong experience using dbt ...

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 ...

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 ...

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.

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 ...

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 ...

Azure_Talend Data Engineer

Wilmington, DE · On-site

$53.25 - $66.25/hr

... Factory , Azure Data Analytics, Azure Data Lake, Azure Data Catalogue, LogicApps & FunctionApps • Experience on Python scripting ,Spark SQL & PySpark • Experience in Talend • Good to have ...

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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 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, 12% Part Time, and 2% 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 Architect

Boston, MA • On-site

Trinity Technology Solutions
Recruiting and Staffing Services • 1 - 10 employees

$69 - $90/hr

Full-time

Re-posted 17 days ago


Job description

In this role, you will be the Lead on designing, implementing, and managing data architecture and cloud-based solutions with Microsoft Azure. Primary responsibilities include:

  • Designing data integration solutions
  • Developing an Azure Fabric data architecture
  • Developing and managing databases, data lakes, and other data storage solutions using Azure services
  • 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 Azure, particularly data services like Fabric, Azure SQL Database, Azure Data Lake Storage

Strong knowledge of data modeling and integration tools such as Azure Data Factory and CI/CD tools

Strong knowledge of SQL and experience with programming languages such as Python

Why is This a Great Opportunity

This is a BRAND NEW position in the company reporting into the Head of I.T.  Opportunity to be the Lead Azure expert in the company.  All I.T. decisions related to Azure go through you.  Very stable, friendly, and polished company to work for with a stellar reputation in the industry.  Employees are treated very well and attrition rate is extremely low.  In these turbulent economic times, this company is a safe haven!  They have not had layoffs in their history.