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

Azure Data Architect (Dalas)

Dallas, TX · On-site

$63 - $81.25/hr

Azure Synapse, Databricks, Data Factory, Data Lake, Event Hubs, Cosmos DB. • Strong background in data modeling (conceptual, logical, and physical) • Advanced SQL proficiency • Architecting ...

Data Engineer

Frisco, TX · 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 ...

Azure Databricks Engineer (Dallas, TX)

Dallas, TX · 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 ...

Azure Databricks Engineer (Dallas, TX)

Dallas, TX · On-site

$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 ...

Azure Databricks Engineer / Lead

Dallas, TX · On-site

$101K - $134K/yr

Integrate Databricks with Azure services such as ADLS Gen2, Azure Data Factory, Azure Synapse, and Azure Key Vault . * Develop and manage Databricks Workflows, Jobs, and Notebooks . * Implement data ...

Azure Data Engineer

Richardson, TX · On-site

$104K - $124K/yr

Solid background in traditional Azure data stack tools like Azure Data Factory (ADF), Azure Synapse Analytics, and ADLS Gen2. * Methodologies: Strong comprehension of Kimball data warehousing ...

Data Modeler

Dallas, TX · On-site

$54.25 - $70.25/hr

Work with ETL teams to support data transformation and migration using tools like Azure Data Factory, Google Dataflow, or Informatica. * Maintain data dictionaries, metadata repositories, and version ...

Azure AI Apps Architect

Dallas, TX · On-site

$62.75 - $81.75/hr

Experience building automations with Azure Function Apps, Azure Data Factory, Power Automate, or Azure Logic Apps * AI-102 (Microsoft Certified: Azure AI Engineer Associate), or DP-100 (Microsoft ...

Senior Data Engineer

Irving, TX · On-site

$114K - $140K/yr

Leads conversion of SSIS packages to Azure Data Factory, Snowflake OpenFlow and modern ELT frameworks * Designs scalable ingestion patterns to prevent duplicate extracts and enable incremental ...

Senior Data Engineer

Irving, TX · On-site

$114K - $140K/yr

Leads conversion of SSIS packages to Azure Data Factory, Snowflake OpenFlow and modern ELT frameworks * Designs scalable ingestion patterns to prevent duplicate extracts and enable incremental ...

Cloud Data Engineer (Microsoft Fabric OR Azure Data Factory) | Full-Time Location: 100% Onsite In Dallas, TX Type: Full-Time Direct Hire (Permanent Opportunity) Interview Process: 2 Rounds (1 virtual ...

Azure AI Apps Architect

Dallas, TX · On-site

$62.75 - $82/hr

Preferred : • Bachelor's degree in computer science or related field • Experience building automations with Azure Function Apps, Azure Data Factory, Power Automate, or Azure Logic Apps • AI-102 ...

SKILL REQUIREMENTS: - Demonstrated technical proficiency with the Microsoft Azure Stack (T-SQL, SSIS, SSAS, SSRS). - Expertise in Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure ...

Showing results 21-40

Temporary Azure Data Factory information

See Dallas, TX salary details

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$57

$78

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

As of Sep 7, 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 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.

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:

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, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $120,168 per year, or $57.8 per hour.

Azure Data Architect (Dalas)

1872 Consulting

Dallas, TX • On-site

$63 - $81.25/hr

Full-time

Re-posted 3 days ago


Job description

Job Summary:
1872 Consulting is a technology-driven organization focused on digital and data transformation across enterprise systems. They are seeking a Digital Data Architect to design and implement enterprise data architectures supporting analytics, AI/ML, and digital modernization, with a strong focus on data modeling and Azure-based architecture.
Responsibilities:
• Design conceptual, logical, and physical data models for enterprise and domain-level systems.
• Architect and optimize data platforms leveraging Azure Synapse, Databricks, Data Factory, Data Lake, and Cosmos DB.
• Develop and oversee ETL/ELT frameworks for analytics and operational data systems.
• Ensure data structures support AI/ML workloads and modern analytics use cases.
• Collaborate with data engineers and architects to deliver scalable, governed solutions.
• Apply best practices for data modeling, lineage, and performance optimization.
• Maintain compliance with governance and security standards (GDPR, CCPA).
Qualifications:
Required:
• 8–12 years in data architecture and modeling
• Must have strong Data Architecture/Modeling experience in Azure environments
• More experience with the following Azure data services the better: Azure Synapse, Databricks, Data Factory, Data Lake, Event Hubs, Cosmos DB.
• Strong background in data modeling (conceptual, logical, and physical)
• Advanced SQL proficiency
• Architecting data pipelines
Preferred:
• Building data pipelines with Python, Spark and/or Kafka is
• Experience with ELT is a big nice to have
• Familiarity with ML pipeline integration and Data Mesh/Data Fabric concepts.
• Bachelor's or Master's Degree in Computer Science or a related field
• Azure certifications (Data Engineer or Solutions Architect)
Company:
1872 Consulting is a recruitment and IT consulting company. Founded in 1872, the company is headquartered in Chicago, USA, with a team of 11-50 employees. The company is currently Early Stage.

1872 Consulting logo

About 1872 Consulting

Sourced by ZipRecruiter

1872 Consulting, based in Chicago, IL, USA, operates within the IT consulting industry. Armed with a diverse team of experts, the company offers specialized IT consulting services, focusing on modernizing business technologies and driving innovative business strategies. Established in 1872, the company has a rich history marked by its commitment to bridging the gap between businesses and technology. Its mission is to empower organizations to surpass their business goals by providing state-of-the-art IT solutions and service. The company prides itself on its core values of integrity, excellence, and innovation, instilling these principles in every project they undertake.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Chicago, IL, US

Year founded

2014