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

Hirekeyz Inc

Database Administrator

Austin, TX · On-site

... Azure Data Factory (ADF), Informatica and etc. 7 Required Develop logical and physical Data Models and Entity Relationship Diagrams. 7 Required Implement database objects in an Oracle cloud RDBMS ...

Pwc

Data Engineer - Manager

Austin, TX · On-site

... Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services - Designing and managing data warehouses and data lakes, verifying data is organized and accessible ...

Togetherwork Holdings, LLC

Data Architect

Austin, TX · On-site

$120 - $150/hr

Knowledge of Microsoft Azure data services (Azure Data Factory, Azure SQL, or related). * Experience migrating data from legacy CRM/AMS systems and non‑normalized data sources. Why You'll Love ...

Jobtailor

QA Lead - Data & Pipeline Quality

Austin, TX · On-site

$110 - $160/hr

Experience working within Microsoft Azure cloud environments (Azure Data Factory, Azure Data Lake, or equivalent) * Strong understanding of ETL/ELT pipeline architecture and the ability to test at ...

VetsEZ

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

Build and optimize data solutions within Azure cloud environments, including Azure Synapse and Azure Data Factory. * Integrate data from multiple sources through APIs and other system integration ...

VetsEZ

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

Build and optimize data solutions within Azure cloud environments, including Azure Synapse and Azure Data Factory. * Integrate data from multiple sources through APIs and other system integration ...

Pwc

Data Engineer - Senior Associate

Austin, TX · On-site

$77K - $202K/yr

... Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow - Enhancing Cloud resources for cost, performance, and scalability Travel Requirements Up to 60% Job Posting End Date The ...

JLL

Data Integration Specialist

Austin, TX · On-site

Experience building data pipelines with Azure Data Factory * Experience with cloud-based data platforms and services * Familiarity with Agile methodologies * Relevant certifications in ...

Kanak Elite Services Inc

Sr SW Developer

Austin, TX · On-site

$54 - $71.25/hr

... using Azure Data Factory. 4 Preferred Experience in ETL development using Microsoft Fabric. 4 Preferred Experience in ETL development using Informatica Cloud ETL. 4 Preferred Experience ETL ...

Deloitte

Senior Data Engineer

Austin, TX · Hybrid

$105K - $142K/yr

Design, develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks * Write and tune PySpark / Spark SQL notebooks for large-scale data transformation * Architect end-to-end ...

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Showing results 21-40

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

Azure Data Factory information

See Austin, TX salary details

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How much do azure data factory jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for azure data factory in Austin, TX is $55.22, according to ZipRecruiter salary data. Most workers in this role earn between $50.00 and $62.07 per hour, depending on experience, location, and employer.

What is an Azure Data Factory?

An Azure Data Factory job refers to a data processing task executed within Azure Data Factory (ADF), a cloud-based data integration service. ADF enables the creation, scheduling, and orchestration of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) workflows. These jobs help in moving and transforming data between various data stores, such as Azure Blob Storage, SQL databases, and on-premises systems. By using pipelines, activities, and triggers, ADF automates data workflows efficiently.

What are some typical challenges faced by professionals working with Azure Data Factory, and how can they be addressed?

One of the main challenges in an Azure Data Factory role is managing complex data pipelines that span multiple data sources and destinations, which requires careful orchestration and monitoring. Troubleshooting data integration issues and ensuring data accuracy can also be demanding, especially when dealing with large volumes of data or evolving business requirements. Successful professionals often address these challenges by staying updated with Azure’s latest features, implementing robust error-handling, and collaborating closely with data architects and business analysts. Joining a supportive team environment and accessing ongoing training can further assist in overcoming common hurdles and advancing in your career.

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

To thrive in an Azure Data Factory role, you need expertise in data integration, ETL processes, and cloud data solutions, typically supported by a background in computer science or information technology. Familiarity with Microsoft Azure Data Factory, Azure SQL Database, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong analytical thinking, effective communication, and problem-solving skills help professionals excel in cross-functional teams. These skills are essential for designing, deploying, and maintaining efficient data workflows that support business analytics and decision-making.

Is Azure Data Factory being phased out?

Azure Data Factory remains a core cloud data integration service within Microsoft Azure and is actively supported and developed. There are no indications that it will be phased out in the near future, and it continues to be widely used by data engineers and analysts for building data pipelines and workflows. Staying updated with Azure's product roadmap and certifications can help ensure skills remain relevant.

Is Azure Data Factory in demand?

Azure Data Factory is a widely used cloud-based data integration service, and professionals skilled in it are in high demand due to the increasing adoption of cloud data solutions. Knowledge of data pipelines, ETL processes, and related tools like Azure Synapse Analytics can enhance job prospects in data engineering and analytics roles.

What can you do with Azure Data Factory?

Azure Data Factory is a cloud-based data integration service that allows data engineers and analysts to create, schedule, and manage data pipelines for moving and transforming data across various sources and destinations. It supports data ingestion, data transformation using mapping and data flow activities, and orchestration of complex workflows, often integrating with other Azure services. Proficiency in data pipeline design, ETL processes, and familiarity with Azure environments are essential for roles involving Azure Data Factory.

What are the most commonly searched types of Azure Data Factory jobs in Austin, TX?

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

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

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

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

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

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

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

Azure Data Factory jobs near you
Infographic showing various Azure Data Factory job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $114,854 per year, or $55.2 per hour.

Database Administrator

Austin, TX • On-site

Hirekeyz Inc
See more jobs at Hirekeyz Incexternal

Contractor

Re-posted 19 days ago

Job description

Role : Database Administrator

Location: Austin, TX (Must be available to come into office 2 days/week ) Must be local to TX

Duration: Long Term Contract

II.  CANDIDATE SKILLS AND QUALIFICATIONS

Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.

Years

Required/Preferred

Experience

7

Required

Evaluates users' requests for new data elements and systems and incorporates into the existing shared data

7

Required

Install and use Data Modeling tools like Tableau, Azure Data Factory (ADF), Informatica and etc.

7

Required

Develop logical and physical Data Models and Entity Relationship Diagrams.

7

Required

Implement database objects in an Oracle cloud RDBMS, Salesforce CRM.

7

Required

Advanced data modeler with experience in Design, creation, and maintenance data models representing production databases.

7

Required

Generate scripts to be in the database using data modeler tools.

7

Required

Incorporating changes to data model design.

7

Required

Write source to target mapping instructions as needed to support ETL development.

7

Required

Develop stored procedures, database triggers and complex PL/SQL packages where needed.

7

Required

Perform requirement analysis and provide data mapping guidance to application and development teams.

5

Required

Coordination and Collaboration: Work with various teams, including IT support, development, and operations, to gather information and expertise.

5

Required

Relies on limited experience and judgment to plan and accomplish goals.

5

Required

A certain degree of creativity, out of the box thinking, and latitude is required.

5

Required

Works under limited supervision with considerable latitude for the use of initiative and independent judgment.

4

Required

Communication: Keep stakeholders informed about the status of problems and solutions.

4

Required

Familiar with standard concepts, practices, and procedures within a particular field.

2

Required

Strong understanding of ETL (Extract, Transform, Load) to extract, transform, and load data, enabling businesses to use data for analysis and decision-making, extracting data from various sources, such as databases, files, and cloud services.

2

Required

Certification in Azure Data Factory (ADF), Informatica preferred.

2

Required

Experience understanding PERL scripts is a plus.

2

Required

Experience creating Tableau dashboard.