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Azure Data Warehouse Developer Jobs in Irving, TX

Azure Data Bricks Consultant

Fort Worth, TX · On-site

$52.75 - $65.50/hr

GitHub, Jenkins, Azure DevOps, Terraform * BI Analytics Tool Stack - Cognos, Tableau, Power BI, Alteryx, Denodo, and Grafana * Data Warehousing: DataStage, Informatica * Data Governance and Privacy:

Data Engineer

Irving, TX · On-site

$109K - $132K/yr

Job Summary The Senior Data Warehouse Engineer is responsible for designing, building, and ... data warehousing * Advanced SQL expertise across: * Oracle * SQL Server / Azure SQL * Snowflake

New

Data Warehouse Developer

Dallas, TX · On-site +1

$48.75 - $66.75/hr

The American Heart Association has an excellent opportunity for a Data Warehouse Developer ! This position can be home-based. This is a full-time, benefits-eligible, grant-funded opportunity. Current ...

Data Warehouse Developer

Dallas, TX · On-site

$45.25 - $62/hr

The American Heart Association has an excellent opportunity for a Data Warehouse Developer ! This position can be home-based. This is a full-time, benefits-eligible, grant-funded opportunity. Current ...

Data Warehouse Developer

Dallas, TX · On-site +1

$45.25 - $62/hr

The American Heart Association has an excellent opportunity for a Data Warehouse Developer ! This position can be home-based. This is a full-time, benefits-eligible, grant-funded opportunity. Current ...

Senior Software Engineer, Data Warehousing

Irving, TX · On-site

$117K - $155K/yr

Irving, TX- Hybrid Job Summary The Senior Data Warehouse Engineer is responsible for designing ... This role requires deep expertise in Azure Data Factory, strong SQL engineering skills, and ...

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Azure Data Engineer

Fort Worth, TX · On-site

$109K - $131K/yr

Azure Data Engineer Job Location: Fort Worth, TX (100% Onsite) Job Duration: Long Term Note: Final ... Implement data modeling, data warehousing, and data lake architecture. * Work with stakeholders to ...

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

... on legacy data warehouses and Big Data will be plus. · Should have fair knowledge of the ... developer skills in writing stored procedures, functions, transformations etc. · Experience in ...

Azure Databricks Engineer (Dallas, TX)

Dallas, TX · On-site

$54.50 - $67.50/hr

Familiarity with data modeling, data lakes, and data warehouse concepts. * Expertise in Azure ... Cloud & DevOps : * Strong understanding of Azure cloud services and architecture. * Familiarity ...

Azure Databricks Engineer (Dallas, TX)

Dallas, TX · On-site

$54.50 - $67.50/hr

Familiarity with data modeling, data lakes, and data warehouse concepts. Expertise in Azure ... Cloud & DevOps: Strong understanding of Azure cloud services and architecture. Familiarity with ...

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Azure Data Warehouse Developer information

See Irving, TX salary details

$12

$52

$69

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

As of Aug 21, 2026, the average hourly pay for azure data warehouse developer in Irving, TX is $52.26, according to ZipRecruiter salary data. Most workers in this role earn between $45.48 and $62.31 per hour, depending on experience, location, and employer.

What is the difference between Azure Data Warehouse Developer vs Data Engineer?

AspectAzure Data Warehouse DeveloperData Engineer
Primary FocusDesigning and developing data warehouse solutions on AzureBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsAzure SQL, SSIS, T-SQL, Azure Data FactorySQL, Python, ETL tools, cloud platforms
Work EnvironmentData warehousing projects within cloud environmentsBroader data infrastructure across multiple platforms

Azure Data Warehouse Developers specialize in creating data warehouse solutions on Azure, focusing on data storage and retrieval. Data Engineers have a broader role, building data pipelines and infrastructure across various platforms. While both roles require SQL and cloud knowledge, Azure Data Warehouse Developers focus more on data warehousing technologies, whereas Data Engineers handle end-to-end data processing and architecture.

What are popular job titles related to Azure Data Warehouse Developer jobs in Irving, TX?

For Azure Data Warehouse Developer jobs in Irving, TX, the most frequently searched job titles are:

What job categories do people searching Azure Data Warehouse Developer jobs in Irving, TX look for?

The top searched job categories for Azure Data Warehouse Developer jobs in Irving, TX are:

What cities near Irving, TX are hiring for Azure Data Warehouse Developer jobs?

Cities near Irving, TX with the most Azure Data Warehouse Developer job openings:

Infographic showing various Azure Data Warehouse Developer job openings in Irving, 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 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $108,703 per year, or $52.3 per hour.

Data Warehouse Developer

Expert Technical Solutions

Irving, TX

$47.25 - $64.75/hr

Contractor

Re-posted 29 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.