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Temporary Azure Data Factory Jobs (NOW HIRING)

Kaav Inc.

Data Engineer - Azure Data Factory

Addison, TX · Hybrid

$110K - $133K/yr

The ideal candidate will have experience with Azure Data Factory (ADF) , ETL development, and structuring data lakes/schemas. This role requires initiative, problem-solving ability, and flexibility ...

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 ...

Prophecy Technologies

Azure Data Engineer

Dallas, TX · On-site

$54.50 - $67.50/hr

* Strong hands-on experience with Azure Data Factory, Databricks and Azure Cloud services * Good knowledge in Blob Storage, ADLS, Azure Logic Apps, Key Vault * Ability to design Azure Data Factory (ADF ...

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 ...

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 ...

ACCLiiVE

Azure Data Engr

Houston, TX

$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 ...

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 ...

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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:
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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 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.

Data Engineer - Azure Data Factory

Kaav Inc.

Addison, TX • Hybrid

$110K - $133K/yr

Other

Posted 13 days ago

Job description

Job Title: Data Engineer
Inperson Interview - Only Locals
  • Location: Addison, TX - only Locals (Hybrid - Mon-Thu Onsite, Fri WFH)
    Type: Long Term
    Interview Process:
    1. Preliminary remote interview with Hiring Manager
    2. Onsite technical panel & coding assessment (half-day)
    3. Final onsite interview with SVP (personality/social fit)
    Job Overview
    Concentra is seeking a Data Engineer with strong hands-on experience in building scalable data pipelines and working with healthcare/clinical datasets. The ideal candidate will have experience with Azure Data Factory (ADF), ETL development, and structuring data lakes/schemas. This role requires initiative, problem-solving ability, and flexibility to contribute across data architecture, cleaning, and integration tasks.
    Key Responsibilities
    • Design, build, and maintain data pipelines, ETL processes, and integration workflows using Azure Data Factory (ADF).
    • Work with healthcare/clinical datasets ensuring compliance with HIPAA, EHR systems, and industry standards.
    • Structure and optimize data lakes, data warehouses, and schemas for analytics and reporting.
    • Collaborate with data scientists, analysts, and business teams to support diverse data needs.
    • Perform data cleaning, transformation, and migration to support analytics and application integration.
    • Troubleshoot pipeline failures, monitor performance, and implement process improvements.
    • Ensure scalability, reliability, and data governance across all workflows.
    Required Skills & Qualifications
    • 3-6 years of professional Data Engineering experience.
    • Strong hands-on expertise with Azure Data Factory (ADF) and building ETL/ELT pipelines.
    • Experience with healthcare/clinical data (HIPAA compliance, EHR systems).
    • Proven ability to structure data lakes/schemas and optimize for performance.
    • Solid SQL development and data modeling experience.
    • Ability to handle multiple roles including data architecture, cleaning, and integration.
    • Strong initiative, problem-solving, and communication skills.
    • Must be willing and able to attend onsite interviews and work in a hybrid model.
    Important Notes
    • Candidates must be local to Addison, TX (no relocation).
    • Multiple interview rounds, including onsite coding assessments, are required.
    • Do not submit candidates who have applied directly or been previously submitted to Concentra (name checks will be performed).

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