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Azure Data Factory Jobs in Texas (NOW HIRING)

Azure AI Apps Architect

Dallas, TX

$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

Dallas, TX · On-site

$130K - $145K/yr

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 ...

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 ...

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 ...

Senior Software Engineer, Data Warehousing

Irving, TX · On-site

$117K - $155K/yr

This role requires deep expertise in Azure Data Factory, strong SQL engineering skills, and experience working with both structured and semi-structured data, including JSON. The engineer will also ...

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 ...

Associate Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Required Skills: · Basic experience with Azure Data Factory or Azure Databricks. * SQL, Python. * PySpark * Familiarity with CI/CD tools (e.g., Azure DevOps, GitHub). * Data Warehousing Concepts ...

Senior Data Engineer

Irving, TX · On-site

$114.28 - $140/hr

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 ...

Azure Databricks Engineer

Dallas, TX

$59.25 - $77.25/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 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 ...

Showing results 41-60

Azure Data Factory information

See Texas salary details

$10

$54

$74

How much do azure data factory jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for azure data factory in Texas is $54.41, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $61.15 per hour, depending on experience, location, and employer.

What is an Azure Data Factory?

An Azure Data Factory job refers to a data processing task executed within Azure Data Factory (ADF), a cloud-based data integration service. ADF enables the creation, scheduling, and orchestration of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) workflows. These jobs help in moving and transforming data between various data stores, such as Azure Blob Storage, SQL databases, and on-premises systems. By using pipelines, activities, and triggers, ADF automates data workflows efficiently.

What are some typical challenges faced by professionals working with Azure Data Factory, and how can they be addressed?

One of the main challenges in an Azure Data Factory role is managing complex data pipelines that span multiple data sources and destinations, which requires careful orchestration and monitoring. Troubleshooting data integration issues and ensuring data accuracy can also be demanding, especially when dealing with large volumes of data or evolving business requirements. Successful professionals often address these challenges by staying updated with Azure’s latest features, implementing robust error-handling, and collaborating closely with data architects and business analysts. Joining a supportive team environment and accessing ongoing training can further assist in overcoming common hurdles and advancing in your career.

What are the key skills and qualifications needed to thrive in the Azure Data Factory position, and why are they important?

To thrive in an Azure Data Factory role, you need expertise in data integration, ETL processes, and cloud data solutions, typically supported by a background in computer science or information technology. Familiarity with Microsoft Azure Data Factory, Azure SQL Database, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong analytical thinking, effective communication, and problem-solving skills help professionals excel in cross-functional teams. These skills are essential for designing, deploying, and maintaining efficient data workflows that support business analytics and decision-making.

Is Azure Data Factory being phased out?

Azure Data Factory remains a core cloud data integration service within Microsoft Azure and is actively supported and developed. There are no indications that it will be phased out in the near future, and it continues to be widely used by data engineers and analysts for building data pipelines and workflows. Staying updated with Azure's product roadmap and certifications can help ensure skills remain relevant.

Is Azure Data Factory in demand?

Azure Data Factory is a widely used cloud-based data integration service, and professionals skilled in it are in high demand due to the increasing adoption of cloud data solutions. Knowledge of data pipelines, ETL processes, and related tools like Azure Synapse Analytics can enhance job prospects in data engineering and analytics roles.

What can you do with Azure Data Factory?

Azure Data Factory is a cloud-based data integration service that allows data engineers and analysts to create, schedule, and manage data pipelines for moving and transforming data across various sources and destinations. It supports data ingestion, data transformation using mapping and data flow activities, and orchestration of complex workflows, often integrating with other Azure services. Proficiency in data pipeline design, ETL processes, and familiarity with Azure environments are essential for roles involving Azure Data Factory.

What are the most commonly searched types of Azure Data Factory jobs in Texas?

The most popular types of Azure Data Factory jobs in Texas are:

What are popular job titles related to Azure Data Factory jobs in Texas?

For Azure Data Factory jobs in Texas, the most frequently searched job titles are:

What cities in Texas are hiring for Azure Data Factory jobs?

Cities in Texas with the most Azure Data Factory job openings:

Infographic showing various Azure Data Factory job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $113,174 per year, or $54.4 per hour.

Azure Databricks Architect with Oil & Gas

Expert Technology Services

Houston, TX • On-site

$60.75 - $79/hr

Contractor

Posted 21 days ago


Job description

Job Summary (Azure Databricks Architect – Oil & Gas Industry, Houston TX Onsite):
- Lead the design, development, and optimization of enterprise-scale data platforms and analytics solutions on Azure Databricks.
- Drive and implement data engineering best practices across the team.
- Architect and develop scalable data pipelines and ETL/ELT frameworks using Azure Databricks and PySpark.
- Optimize data ingestion, transformation, and consumption layers for performance and reliability.
- Design data models, data dictionaries, and reusable data products to support business needs.
- Ensure data governance, data quality, security, and compliance standards are met.
- Optimize Spark workloads, Databricks jobs, and overall platform performance.
- Collaborate with business stakeholders, data scientists, and cross-functional teams to translate business requirements into technical solutions.
- Mentor and guide data engineers and junior team members in best practices and technical solutions.
- Drive CI/CD automation and DevOps best practices for data platforms.
- Support Data Lakehouse architecture and enterprise analytics initiatives.
- Utilize and manage tools including Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, Delta Lake, Databricks Workflows, Azure DevOps, SQL/T-SQL, and Python.
- Lead enterprise-scale Databricks implementations and cloud data transformation programs.
- Experience with performance tuning, automation frameworks, and technical governance.
- Preferred exposure to Unity Catalog, Airflow, Power BI, Lakehouse Architecture, DataOps, and MLOps.
- Strong stakeholder management and client-facing communication skills.
- Minimum 10 years of experience in Data Engineering/Data Platform delivery, with strong leadership experience in Azure-based data solutions, preferably in the Oil & Gas sector.