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Temporary Azure Data Factory Jobs in Dallas, TX (NOW HIRING)

talentmovers inc

Azure Data Engineer

Dallas, TX ยท On-site

$113K - $136K/yr

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

Embtel Inc

Azure Data Bricks Consultant

Fort Worth, TX ยท 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 ...

Tror AI for everyone

Azure Data Engineer

Fort Worth, TX ยท 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 ...

Noblesoft Technologies

Azure Data/Ops Architect

Dallas, TX ยท 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 ...

Perficientcorp Inc

Data Engineer

Fort Worth, TX ยท On-site

$109K - $131K/yr

Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions CI/CD: GitHub, Jenkins, Azure DevOps, Terraform BI Analytics Tool Stack - Cognos ...

talentmovers inc

Azure Data Engineer in Dallas, TX

Dallas, TX ยท On-site

$113K - $136K/yr

Azure Data Engineer (Senior) Need 12 years experience Azure Data Engineer Azure Data Factory Azure Synapse SQL Pyspark Rest API ADLS Gen2/Blob Excellent interpersonal and communication skills ...

Sogeti

Senior Azure Data Engineer

Addison, TX ยท On-site

$102K - $139K/yr

Production experience with Azure Data Factory, Azure Synapse Analytics, or Databricks. Proven ability to work independently, diagnose problems, own outcomes, and document findings. Strong ...

Siri InfoSolutions Inc

Data Engineer

Frisco, TX ยท On-site

$107K - $128K/yr

Design and build robust data pipelines using Azure Data Factory (ADF) * Build and optimize data warehousing solutions on Snowflake * Utilize Databricks with Spark and Python/Scala for data ...

Cedent

Azure Databricks Engineer (Dallas, TX)

Dallas, TX ยท On-site

$54.50 - $67.50/hr

Azure Databricks Architecture & Design : * Design, build, and optimize scalable, high-performance ... Data Factory, Data Lake, Synapse Analytics, Event Hubs, Cosmos DB. * Data Pipeline and ETL/ELT ...

CEDENT

Azure Databricks Engineer (Dallas, TX)

Dallas, TX

$54.50 - $67.50/hr

Azure Databricks Architecture & Design: Design, build, and optimize scalable, high-performance data ... Data Factory, Data Lake, Synapse Analytics, Event Hubs, Cosmos DB. Data Pipeline and ETL/ELT ...

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

As of Aug 15, 2026, the average hourly pay for temporary azure data factory in Dallas, TX is $57.77, according to ZipRecruiter salary data. Most workers in this role earn between $52.31 and $64.90 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 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 most commonly searched types of Azure Data Factory jobs in Dallas, TX?

The most popular types of Azure Data Factory jobs in Dallas, TX are:

What are popular job titles related to Temporary Azure Data Factory jobs in Dallas, TX?

For Temporary Azure Data Factory jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Temporary Azure Data Factory jobs in Dallas, TX look for?

The top searched job categories for Temporary Azure Data Factory jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Temporary Azure Data Factory jobs?

Cities near Dallas, TX with the most Temporary Azure Data Factory job openings:

Temporary Azure Data Factory jobs near you
Infographic showing various Temporary Azure Data Factory job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,168 per year, or $57.8 per hour.

Azure data factory developer with Snowflake exp

CLOUDSCOUTS SOFTWARE SOLUTIONS LLC

Frisco, TX

$50/hr

Full-time

Re-posted 14 days ago

Job description

6+ years of ADF data flows/Snowflake. if you just worked on ADF pipelines, this is not for you.
An Azure Data Factory (ADF) Integration Developer is responsible for building, maintaining, and optimizing data pipelines and integration solutions using Microsoft Azure Data Factory. This role is key in data engineering and ETL (Extract, Transform, Load) processes in a cloud-based environment.
✅ Key Responsibilities:
  1. Design and Develop Data Pipelines

    • Build end-to-end data workflows using ADF (v2) for batch and real-time data processing.
    • Create and manage Linked Services, Datasets, Pipelines, Activities, and Triggers.
  2. Data Integration

    • Integrate data from multiple sources like SQL Server, Azure Blob Storage, Azure Synapse, REST APIs, SAP, Salesforce, etc.
    • Handle structured and unstructured data using Data Flows, Mapping Data Flows, or custom transformations.
  3. ETL/ELT Development

    • Implement data transformations using Azure Data Flows, Stored Procedures, or Azure Functions.
    • Optimize performance and cost using best practices.
  4. Monitoring and Troubleshooting

    • Set up pipeline monitoring, alerts, and logs using ADF Monitoring and Azure Monitor.
    • Debug failures and optimize pipeline performance.
  5. CI/CD and DevOps

    • Use Azure DevOps or Git integration for version control, build, and release pipelines.
    • Implement ARM templates for infrastructure as code (IaC).
  6. Security and Governance

    • Manage access through Azure RBAC, Key Vault, and Managed Identity.
    • Ensure compliance and data security standards.
  7. Collaboration

    • Work closely with Data Architects, Business Analysts, and BI developers.
    • Translate business requirements into technical solutions.
️ Required Skills and Technologies:
  • Azure Data Factory

  • Azure Synapse Analytics, Azure SQL