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Azure Data Engineer Jobs in Texas (NOW HIRING)

Data Systems Engineer

Austin, TX · On-site

$115K - $138K/yr

Design, develop, test, and maintain scalable ELT/ETL pipelines using Azure Data Factory, dbt ... Partner with Data Engineering & Integration Services teammates and cross-functional stakeholders on ...

Data Systems Engineer

Austin, TX

$115K - $138K/yr

Design, develop, test, and maintain scalable ELT/ETL pipelines using Azure Data Factory, dbt ... Partner with Data Engineering & Integration Services teammates and cross-functional stakeholders on ...

azure data architect

Winters, TX · On-site +1

$60.50 - $78.75/hr

This contract position offers a unique opportunity to work remotely in the rapidly evolving field of computer software and engineering. As an Azure Data Architect, you will play a critical role in ...

Senior Data Engineer

Houston, TX · On-site

$194K/yr

The Senior Data Engineer is responsible for designing, building and maintaining modern data ... Design, build and manage scalable data pipelines usingAzure Data Factory (ADF),Azure Data Lake ...

Data Engineer

Houston, TX

$109K - $131K/yr

The Data Engineer, within the Data & AI team, designs, builds, and operates the pipelines, models ... Experience with Azure Data Factory and Azure Data Lake Storage (ADLS), or equivalent cloud data ...

The Senior Data Engineer is responsible for designing, building and maintaining modern data ... Design, build and manage scalable data pipelines usingAzure Data Factory (ADF),Azure Data Lake ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

The Data Engineer, within the Data & AI team, designs, builds, and operates the pipelines, models ... Experience with Azure Data Factory and Azure Data Lake Storage (ADLS), or equivalent cloud data ...

Data Engineer

The Woodlands, TX · On-site

$70 - $85/hr

Utilize Azure services such as SQL Server, Synapse Analytics, Databricks, and Delta Lake to build and manage scalable data infrastructure. and data pipelines * Enable CI/CD & DevOps: Integrate data ...

Data Architect (Dallas)

Dallas, TX · On-site

$165K - $185K/yr

Requirements: 5+ years of experience in data engineering, with at least 2 years of hands-on experience with Databricks. Proficient in Apache Spark, SQL, and Python. Experience working with Azure Data ...

Sr. Data Engineer

Dallas, TX

$113K - $136K/yr

We are looking for a Senior Data Engineer, or similarly experienced data modernization professional ... Guide best practices for Azure Synapse, Spark, Delta Lake, data lake storage, and related cloud ...

SQL Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Experience with Azure DevOps, Git, or comparable version control and deployment tools. * Experience with database administration concepts, including performance monitoring, indexing strategies ...

Azure Databricks Architect Healthcare Payer

Irving, TX · On-site

$61 - $79.50/hr

Techno-Functional Azure Databricks Architect Healthcare Payer Location: Princeton, NJ (Remote) Role ... The ideal candidate will possess strong architecture, data engineering, stakeholder management, and ...

... Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and ...

... Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and ...

Showing results 41-60

Azure Data Engineer information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do azure data engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for azure data engineer in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

What is the difference between Azure Data Engineer vs Data Analyst?

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

What are the key skills and qualifications needed to thrive as an Azure Data Engineer?

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

What are some common challenges Azure Data Engineers face when integrating data from multiple sources?

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

What is an Azure Data Engineer?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.

Is an Azure Data Engineer a good career?

An Azure Data Engineer is a valuable role focused on designing and implementing data solutions using Microsoft Azure cloud services. It typically requires skills in data modeling, SQL, and tools like Azure Data Factory and Databricks, with certifications such as Microsoft Certified: Azure Data Engineer Associate enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data management and analytics.
What are the most commonly searched types of Azure Data Engineer jobs in Texas? The most popular types of Azure Data Engineer jobs in Texas are:
What cities in Texas are hiring for Azure Data Engineer jobs? Cities in Texas with the most Azure Data Engineer job openings:
Infographic showing various Azure Data Engineer job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $120,851 per year, or $58.1 per hour.

Azure data factory developer with Snowflake exp

CLOUDSCOUTS SOFTWARE SOLUTIONS LLC

Frisco, TX

$50/hr

Full-time

Re-posted 6 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