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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 Engineer

Fort Worth, TX · On-site

$109K - $131K/yr

Design and implement data pipelines using Azure Data Factory (ADF) and Azure Synapse Analytics. * Develop and optimize ETL/ELT processes for structured and semi-structured data. * Build and manage ...

Azure Data Engineer

Dallas, TX · On-site

$105K - $126K/yr

Dallas, TX / Tulsa, OK ( Onsite & In-Person Interview ) Top Mandatory Skills: 4 -7 years of hands-on experience in Data Engineering Azure Databricks/Azure Data Factory (Primary Skillset) Azure Data ...

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 ...

Azure Data Engineer

Grand Rapids, MI · Remote

$110K - $132K/yr

Azure Data Engineer (Azure Data Factory & Azure Data Lake) Overview / Summary We are seeking an experienced Azure Data Engineer responsible for designing, developing, and maintaining scalable data ...

New

Senior Azure Data Engineer

Springfield, IL

$113K - $136K/yr

This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse Analytics and/or Databricks, and modern Lakehouse patterns, who is comfortable leading migration ...

Senior Azure Data Engineer

Springfield, IL · On-site +1

$113K - $136K/yr

This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse Analytics and/or Databricks, and modern Lakehouse patterns, who is comfortable leading migration ...

Azure Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

Azure Data Engineer (Azure Data Factory & Azure Data Lake) Overview / Summary We are seeking an experienced Azure Data Engineer responsible for designing, developing, and maintaining scalable data ...

New

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 ...

Data Engineer | ONSITE

Dallas, TX

$54.75 - $67.75/hr

ONSITE - Dallas, TX Interview Process: must be able to in-person interview in Dallas, TX Key Skills Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps ...

Senior Azure Data Engineer (Remote)

Springfield, IL · Remote

$117K - $140K/yr

This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse Analytics and/or Databricks, and modern Lakehouse patterns, who is comfortable leading migration ...

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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 Jun 21, 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:
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 June 2026, with employment types broken down into 74% Full Time, 5% Temporary, and 21% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.

$104K - $125K/yr

Full-time

Posted 16 days ago


Job description

Role : Azure Data Engineer
Location : Louisville, KY ( Onsite from Day one )
Job Type : Full Time

Top Mandatory Skills:
7+ years of hands-on experience in Data Engineering
Azure Databricks/Azure Data Factory (primary skillset )
Azure Data Lake (secondary skillset)
Teradata
Nice to have:
Databricks Certification
Minimum Requirements:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).
• 7+ years of experience in software development (Agile, DevOps), designing, developing, and implementing large-scale applications or data engineering solutions.
• 7+ years of data analytics experience using SQL and working with data platforms like Teradata, Cassandra, MongoDB, Oracle, SQL Server, Snowflake, ADLS, and Azure Data Explorer.
• 7+ years of cloud development and data lake experience, primarily in Microsoft Azure (EventHub, Data Factory, Databricks, Blob Storage, Power BI, Azure Functions, etc.)