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

IT America Inc

Databricks Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Lead cloud native implementations across Azure environments. * Define architecture standards, best practices, and reusable design patterns. * Mentor data engineers, analysts, and architects on ...

Healthtronics

Data Analytics Engineer

Austin, TX · On-site

$108K - $129K/yr

The Data Analytics Engineer is responsible for designing, building, and maintaining scalable data ... Experience with Azure Data Factory, Microsoft Fabric, Synapse Analytics, Databricks, or Snowflake.

Epicor

Senior Data Ops Developer

Austin, TX · Hybrid

Step into your future as a DataOps Developer and help shape a growing enterprise data platform. In ... Evaluate and use appropriate Azure infrastructure and cloud services, considering scalability ...

XeoMatrix

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Data Engineer We are currently seeking an experienced data engineer with 3 - 5 years with hands-on ... Strong experience with AWS, GCP, & Azure technology stacks * Experience implementing data solutions ...

New

Interactive Process Technology LLC

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... Azure Data FactoryStrong Python programming skillsFoundational knowledge of SQL, data manipulation, data modeling, and data quality conceptsFamiliarity with Microsoft-based data environments ...

UTIMCO

Data & AI Solutions Engineer

Austin, TX · On-site

$113K - $136K/yr

Integrate Azure OpenAI Service capabilities into enterprise applications within UTIMCO's secure ... enterprise data sources. * Develop prompt engineering, evaluation, testing, and monitoring ...

ADP, Inc.

Data Analytics Engineer

Austin, TX · On-site

$90 - $140/hr

The Data Analytics Engineer is responsible for designing, building, and maintaining scalable data ... Experience with Azure Data Factory, Microsoft Fabric, Synapse Analytics, Databricks, or Snowflake.

New

HealthTronics, Inc.

Data Analytics Engineer

Austin, TX · On-site

$110 - $160/hr

The Data Analytics Engineer is responsible for designing, building, and maintaining scalable data ... Experience with Azure Data Factory, Microsoft Fabric, Synapse Analytics, Databricks, or Snowflake.

Pwc

Data Strategy-Manager

Austin, TX

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Kestra Holdings

Lead Data Architect (P4)

Austin, TX · On-site

What You Bring: * 10+ years of experience in data architecture, data engineering, or related fields, with at least 5 years in a lead/architect capacity. * Strong expertise in Azure Data Lake ...

Pwc

GenAI Python Systems Engineer-Manager

Austin, TX · On-site

$99K - $232K/yr

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

CDK Global, Inc.

Staff Software Engineer

Austin, TX · On-site

Architect and implement enterprise ETL and data processing systems using Azure Data Factory, SSIS, ... Lead cross-functional engineering efforts involving data platform teams, cloud engineering, CRM ...

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Showing results 21-40

All JobsAzure Data Engineer JobsAzure Data Engineer Jobs in Austin, TX

Azure Data Engineer information

See Austin, TX salary details

$44.1K

$128.5K

$175.9K

How much do azure data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for azure data engineer in Austin, TX is $128,545.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 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 Austin, TX?

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

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

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

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

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

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

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

Azure Data Engineer jobs near you
Infographic showing various Azure Data Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 80% In-person, 5% Hybrid, and 15% Remote job distribution, with an average salary of $128,545 per year, or $61.8 per hour.

Databricks Data Engineer

IT America Inc

Austin, TX • On-site

$113K - $136K/yr

Contractor

Posted 14 days ago

Job description

Position: Databricks Data Engineer

Location: Austin, TX (Preferred Locals to Austin, TX and Permanent residents of USA) 

Duration: Long-Term Contract

Key Skills: Looking for a Senior Databricks Data Engineer with SQL Server + SSIS + DW modernization experience, and ideally GenAI/LLM/Agent experience

Responsibilities & Skills:

  • 12yrs of Data Engineer and IT exp is mandatory
  • Design and implement enterprise scale solutions on the Databricks Lakehouse Platform.
  • Architect end to end data pipelines for batch and real time processing using Apache Spark and PySpark.
  • Develop scalable data ingestion, transformation, and data quality frameworks.
  • Design and implement Medallion Architecture (Bronze, Silver, Gold) using Delta Lake.
  • Build and optimize data warehouses, data marts, and analytical solutions.
  • Implement data governance, security, lineage, and access controls using Unity Catalog.
  • Develop and support AI/BI dashboards, semantic models, and self-service analytics solutions.
  • Configure and optimize Genie Spaces to enable natural language business queries and conversational analytics.
  • Design and deploy Generative AI and RAG based solutions using Databricks Mosaic AI and Vector Search.
  • Collaborate with business users to translate requirements into scalable data and AI solutions.
  • Optimize Databricks workloads for performance, scalability, reliability, and cost efficiency.
  • Lead cloud native implementations across  Azure environments.
  • Define architecture standards, best practices, and reusable design patterns.
  • Mentor data engineers, analysts, and architects on Databricks technologies and platform adoption.
  • Lead migration initiatives from legacy data warehouses and analytics platforms to Databricks.
  • Build and maintain Genie Spaces for business self-service analytics.
  • Create semantic models, metrics, and trusted data assets for AI driven reporting.
  • Develop natural language to SQL analytics solutions using Databricks Genie.
  • Implement RAG solutions using enterprise data and Vector Search.
  • Optimize AI/BI dashboards and conversational analytics experiences.
  • Troubleshoot Spark performance, query optimization, and workload management.
  • Automate data validation, monitoring, and governance controls.
  • Support AI use cases using Mosaic AI model serving and inference endpoints.

Technical Skills:

  • Databricks Lakehouse Platform
  • Apache Spark, PySpark, Spark SQL
  • Python, SQL
  • Delta Lake, Delta Live Tables, Lakeflow
  • Unity Catalog
  • Databricks AI/BI and Genie
  • Mosaic AI, Vector Search, RAG
  • Data Modeling (Dimensional & Data Vault)
  • Structured Streaming
  • Data Quality and Data Governance
  • Azure
  • Terraform, Git, Azure DevOps, Jenkins
  • REST APIs and Data Integration
  • Performance Tuning and Cost Optimization