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Azure Data Engineer Jobs in Georgetown, TX (NOW HIRING)

Azure Data Engineer

Austin, TX

$113K - $136K/yr

Azure Data Engineer Location: Austin, TX (Onsite) local only Contract: Multi-Year All visa no opt Strong Azure Data Engineering expertise across ADF, Synapse, Databricks, Lakehouse/Medallion ...

azure Data engineer

Austin, TX

$113K - $136K/yr

Azure Data Engineer Location: Austin, TX (Onsite) Contract: Multi-Year Strong Azure Data Engineering expertise across ADF, Synapse, Databricks, Lakehouse/Medallion architecture, SQL/Python/PySpark ...

Azure Data Engineer

Austin, TX

$113K - $136K/yr

Azure Data Engineer Location: Austin, TX (Onsite) local only Contract: Multi-Year All visa no opt Strong Azure Data Engineering expertise across ADF, Synapse, Databricks, Lakehouse/Medallion ...

azure Data engineer

Austin, TX

$113K - $136K/yr

Azure Data Engineer Location: Austin, TX (Onsite) Contract: Multi-Year Strong Azure Data Engineering expertise across ADF, Synapse, Databricks, Lakehouse/Medallion architecture, SQL/Python/PySpark ...

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 ...

Be Seen First

Senior Azure Databricks Data Engineer - AI & Analytics Location: Austin, TX , Telework. Mostly Telework sometimes weekly need to visit the office for in person meetings . Our Direct Client: State of ...

New

Be Seen First

Senior Azure Databricks Data Engineer - AI & Analytics Location: Austin, TX , Telework. Mostly Telework sometimes weekly need to visit the office for in person meetings . Our Direct Client: State of ...

New

Data Engineer

Austin, TX · Remote

$113K - $136K/yr

Modernize and migrate legacy SSIS solutions into cloud-native Azure and Fabric environments * Partner with engineers, analysts, and business teams to develop scalable data warehouse and lakehouse ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

Data Engineer

Austin, TX · On-site

$110 - $170/hr

Modernize and migrate legacy SSIS solutions into cloud-native Azure and Fabric environments * Partner with engineers, analysts, and business teams to develop scalable data warehouse and lakehouse ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Modernize and migrate legacy SSIS solutions into cloud-native Azure and Fabric environments * Partner with engineers, analysts, and business teams to develop scalable data warehouse and lakehouse ...

Data Scientist Required Qualifications: * Educational Background: * Bachelor's or Master's degree ... Knowledge of Azure DevOps for CI/CD pipelines and version control. * Experience with ...

Data Scientist Required Qualifications: * Educational Background: * Bachelor's or Master's degree ... Knowledge of Azure DevOps for CI/CD pipelines and version control. * Experience with ...

Data Solutions Engineer

Austin, TX · On-site

$113K - $136K/yr

Proficiency in the following tools, technologies, and data concepts: • Azure Data Factory, Azure ... Apps, Azure DevOps, Power Automate, REST API • Familiarity with Azure OpenAI and Document ...

Data Engineer - Senior Manager

Austin, TX · On-site

$124K - $280K/yr

... Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... Build and optimize data solutions within Azure cloud environments, including Azure Synapse and ...

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... Build and optimize data solutions within Azure cloud environments, including Azure Synapse and ...

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Showing results 1-20

Azure Data Engineer information

See Georgetown, TX salary details

$41.3K

$120.5K

$164.9K

How much do azure data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for azure data engineer in Georgetown, TX is $120,522.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,400.00 and $127,800.00 per year, depending on experience, location, and employer.

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.

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 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.

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 infrastructure across industries.

What are the most commonly searched types of Azure Data Engineer jobs in Georgetown, TX?

The most popular types of Azure Data Engineer jobs in Georgetown, TX are:

What are popular job titles related to Azure Data Engineer jobs in Georgetown, TX?

For Azure Data Engineer jobs in Georgetown, TX, the most frequently searched job titles are:

What job categories do people searching Azure Data Engineer jobs in Georgetown, TX look for?

The top searched job categories for Azure Data Engineer jobs in Georgetown, TX are:

What cities near Georgetown, TX are hiring for Azure Data Engineer jobs?

Cities near Georgetown, TX with the most Azure Data Engineer job openings:

Infographic showing various Azure Data Engineer job openings in Georgetown, TX as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 75% Physical, 3% Hybrid, and 22% Remote job distribution, with an average salary of $120,522 per year, or $57.9 per hour.

$113K - $136K/yr

Full-time

Posted 13 days ago


Job description

Job Title: Azure Data Engineer
Location: Austin, TX (Onsite) local only
Contract: Multi-Year

All visa no opt

Strong Azure Data Engineering expertise across ADF, Synapse, Databricks, Lakehouse/Medallion architecture, SQL/Python/PySpark, MDM, API Management, data governance, CI/CD, and Azure security.

Job Summary
We are seeking an experienced Azure Data Engineer to design, build, and optimize secure, scalable, and high-performance data solutions on Microsoft Azure. The role involves hands-on data architecture, ETL/ELT engineering, MDM, API integration, and governance for enterprise-wide data initiatives.

Key Responsibilities

  • Design and implement Azure data platforms using Azure Data Lake, Synapse, Databricks, and Azure SQL.
  • Build Lakehouse and medallion architectures (Bronze/Silver/Gold) and support data mesh/data hub patterns.
  • Develop and optimize ETL/ELT pipelines using ADF, Synapse Pipelines, and Databricks for batch and streaming data.
  • Integrate data from on-prem, cloud, SaaS, and API sources.
  • Implement MDM solutions (Profisee, Informatica, Semarchy) and support data governance, metadata, and data quality.
  • Build and manage APIs using Azure API Management, Logic Apps, Azure Functions.
  • Perform DBA tasks: performance tuning, query optimization, indexing, backup/recovery.
  • Implement CI/CD and IaC using Azure DevOps, Terraform, or Bicep.
  • Collaborate with cross-functional teams and mentor junior engineers.

Required Skills & Experience

  • 5+ years in Azure data engineering.
  • Strong in Azure Data Factory, Synapse, Databricks, ADLS Gen2.
  • Proficient in SQL, Python, PySpark, PowerShell.
  • Strong understanding of data modeling (3NF, dimensional, Data Vault, star/snowflake).
  • Experience with Lakehouse, medallion architecture, data mesh/hub.
  • Knowledge of MDM, data governance, metadata management.
  • Experience with CI/CD, IaC, and Azure security (RBAC, Key Vault, networking).