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

Expert Technical Solutions

Data Warehouse Developer

Irving, TX · On-site

$47.25 - $64.75/hr

Azure Data Factory (ADF) * Azure SQL Database / SQL Server * Oracle PL/SQL * Snowflake * JSON Data ... Establish data engineering standards, best practices, naming conventions, and architectural ...

Siri InfoSolutions Inc

Data Engineer

Frisco, TX · On-site

$107K - $128K/yr

Design and build robust data pipelines using Azure Data Factory (ADF) * Build and optimize data ... Databricks Spark Developer Control-M Certification

Programmers.io

Associate Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Exposure to Agile and DevOps practices. Required Skills: · Basic experience with Azure Data Factory or Azure Databricks. * SQL, Python. * PySpark * Familiarity with CI/CD tools (e.g., Azure DevOps, ...

LERETA Careers

Senior Data Engineer

Irving, TX

$114K - $140K/yr

Leads conversion of SSIS packages to Azure Data Factory, Snowflake OpenFlow and modern ELT ... Azure DevOps * Advanced SQL development and tuning * Microsoft Excel (advanced formulas, pivot ...

LERETA, LLC

Senior Data Engineer

Irving, TX

$114K - $140K/yr

Leads conversion of SSIS packages to Azure Data Factory, Snowflake OpenFlow and modern ELT ... Azure DevOps * Advanced SQL development and tuning * Microsoft Excel (advanced formulas, pivot ...

CEDENT

Azure Databricks Engineer

Dallas, TX · On-site

$59.25 - $77.25/hr

Data Factory, Data Lake, Synapse Analytics, Event Hubs, Cosmos DB. * Data Pipeline and ETL/ELT ... Cloud & DevOps : * Strong understanding of Azure cloud services and architecture. * Familiarity ...

Caeus

Data Engineer

Arlington, TX

$103K - $123K/yr

Build, enhance, and maintain scalable data pipelines using Azure Data Factory * Develop, test, and optimize dbt models for Snowflake and Azurebased lakehouse workloads * Engineer ingestion ...

CAE

Data Engineer-EN

Arlington, TX · On-site

$105K - $126K/yr

... Azure Data Factory • Develop, test, and optimize dbt models for Snowflake and Azurebased ... DevOps, Git, or similar version control and deployment tools • Knowledge of data governance ...

Brooksource

Associate Data Engineer

Fort Worth, TX · On-site

$30 - $35/hr

... Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, and Azure ... The ideal candidate is comfortable working both independently and within a DevOps team, adheres to ...

Lereta

Senior Data Engineer

Irving, TX · On-site

$114K - $140K/yr

Leads conversion of SSIS packages to Azure Data Factory, Snowflake OpenFlow and modern ELT ... Azure DevOps * Advanced SQL development and tuning * Microsoft Excel (advanced formulas, pivot ...

Futran Tech Solutions Pvt. Ltd.

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

• Strong knowledge on SQL, including writing complex queries, stored procedures and triggers. • Proficiency in Azure Data Factory for orchestrating data workflows and pipelines. Experience with ...

DPR Construction

PCA Data Engineer

Dallas, TX

$113K - $136K/yr

The ideal candidate will have significant experience with Azure, Python, and Azure Data Factory ... Collaborate with other engineers, delivery leads and platform teams to ensure data solutions meet ...

Lantern

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 ...

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

As of Jul 13, 2026, the average hourly pay for azure data factory developer 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 an Azure Data Factory Developer job?

An Azure Data Factory Developer is responsible for designing, developing, and maintaining data integration pipelines using Azure Data Factory. They work with various data sources to extract, transform, and load (ETL) data into cloud-based storage or databases. Their role involves optimizing data workflows, ensuring data accuracy, and troubleshooting performance issues. They collaborate with data engineers, analysts, and business stakeholders to support data-driven decision-making and automation.

What are the most common daily tasks and responsibilities for an Azure Data Factory Developer?

As an Azure Data Factory Developer, your typical day involves designing, developing, and managing data pipelines and workflows to support business data needs. You will work closely with Data Engineers, BI Developers, and business analysts to gather requirements, troubleshoot issues, and ensure data accuracy and reliability. Additional tasks include performance tuning, scheduling data jobs, monitoring data processes, and implementing data security best practices. This collaborative and dynamic role is essential for ensuring that accurate and timely data is available across the organization, supporting decision-making and business analysis.

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

To thrive as an Azure Data Factory Developer, you need strong expertise in ETL processes, data integration, and a solid grounding in SQL and cloud data platforms, typically supported by a degree in computer science or a related field. Familiarity with Azure services, especially Data Factory, Azure SQL Database, Data Lake, and certifications like Microsoft Certified: Azure Data Engineer Associate are highly beneficial. Excellent problem-solving skills, collaboration, and clear communication set top performers apart in this field. These skills and qualifications enable developers to efficiently build, maintain, and optimize data pipelines that are critical to the organization's data strategy.

What are the most commonly searched types of Azure Data Factory Developer jobs in Dallas, TX? The most popular types of Azure Data Factory Developer jobs in Dallas, TX are:
What are popular job titles related to Azure Data Factory Developer jobs in Dallas, TX? For Azure Data Factory Developer jobs in Dallas, TX, the most frequently searched job titles are:
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Azure Data Factory Developer jobs near you
Infographic showing various Azure Data Factory Developer job openings in Dallas, TX as of July 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $120,168 per year, or $57.8 per hour.
Data Warehouse Developer

Data Warehouse Developer

Expert Technical Solutions

Irving, TX • On-site

$47.25 - $64.75/hr

Contractor

Posted 20 days ago

Job description

Senior Data Warehouse Engineer
Location: Irving, TX (Onsite 5 Days/Week)
Employment Type: Contract-to-Hire (4–6 Months)
Work Authorization: Must be authorized to work in the U.S. without sponsorship
Position Overview
Our client is a Fortune 500 Insurance company seeking a highly technical Senior Data Warehouse Engineer to help modernize and scale a large enterprise data environment supporting critical operational and supply chain functions. This individual will play a key role in designing and implementing a long-term data strategy that reduces reliance on transactional systems while improving data availability, reporting performance, and scalability.
The ideal candidate will have deep expertise across Oracle, SQL Server/Azure SQL, Snowflake, and Azure Data Factory, with the ability to architect efficient data movement and transformation processes for large, complex datasets. This role requires someone who can move beyond simply building pipelines and instead understand source system architecture, optimize data structures, and design scalable warehouse solutions capable of supporting enterprise analytics and reporting.
This is a hands-on engineering position for someone who enjoys solving complex data challenges, optimizing performance, and building modern data platforms that support long-term business growth.
Key Technologies
  • Azure Data Factory (ADF)
  • Azure SQL Database / SQL Server
  • Oracle PL/SQL
  • Snowflake
  • JSON Data Processing
  • REST APIs
  • Data Warehousing
  • Data Modeling
  • Power BI
Primary Responsibilities
  • Design, develop, and maintain scalable data pipelines using Azure Data Factory.
  • Build and optimize enterprise data warehouse solutions supporting operational reporting and analytics.
  • Design and implement incremental data loading strategies utilizing UPSERT, MERGE, CDC, and other efficient synchronization techniques.
  • Extract, transform, and load data from large-scale Oracle environments into Azure SQL and Snowflake platforms.
  • Analyze complex source systems and identify optimal approaches for data extraction, transformation, and storage.
  • Design and maintain dimensional data models, including star and snowflake schemas.
  • Transform semi-structured data, including complex JSON payloads, into consumable relational datasets.
  • Develop data integration solutions leveraging REST APIs, sFTP-based workflows, and other external data sources.
  • Improve query performance through indexing strategies, partitioning, optimization, and database tuning.
  • Establish data engineering standards, best practices, naming conventions, and architectural guidelines.
  • Collaborate closely with business intelligence and reporting teams to ensure data accuracy, consistency, and performance.
  • Troubleshoot and resolve issues across ingestion, transformation, storage, and reporting layers.
  • Mentor team members and provide technical leadership on data engineering best practices.
Required Qualifications
  • 8+ years of experience in Data Engineering, Data Warehousing, or related disciplines.
  • Advanced SQL expertise across Oracle, SQL Server/Azure SQL, and Snowflake.
  • Strong hands-on experience developing and supporting Azure Data Factory solutions.
  • Demonstrated experience working within large-scale enterprise data environments.
  • Deep understanding of incremental data processing methodologies, including UPSERT and MERGE patterns.
  • Strong Oracle PL/SQL development experience.
  • Experience designing and optimizing large-scale relational databases.
  • Proven ability to tune complex SQL queries and optimize database performance.
  • Experience working with JSON and other semi-structured data formats.
  • Experience integrating data from ERP systems, operational platforms, APIs, and external file-based sources.
  • Strong understanding of dimensional modeling concepts and enterprise data warehouse design.
  • Ability to evaluate source system structures and design efficient downstream data architectures.
Preferred Qualifications
  • Experience supporting supply chain, logistics, manufacturing, or operational data environments.
  • Experience working with large ERP platforms such as Oracle EBS or similar enterprise systems.
  • Experience implementing enterprise data modernization initiatives.
  • Exposure to Power BI and enterprise reporting solutions.
  • Experience with data governance, data quality, and master data management initiatives.
What Success Looks Like
  • Reduce reporting dependency on transactional production systems.
  • Improve reporting reliability and performance through optimized warehouse architecture.
  • Implement scalable incremental data ingestion and synchronization processes.
  • Create sustainable, maintainable data structures that support long-term business growth.
  • Establish engineering best practices that improve efficiency, consistency, and scalability across the data platform.