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

Omega Solutions, Inc.

Big data Engineer

Austin, TX · On-site

$55.25 - $73/hr

Omega Solutions, Inc. is seeking a Big Data Engineer to join their team. The role involves working with big data technologies and cloud services to develop and implement data solutions.

Omega Solutions, Inc.

Senior Big Data Engineer

Austin, TX · On-site

$55.25 - $73/hr

Omega Solutions, Inc. is seeking a Senior Big Data Engineer for a contract role with PayPal in Austin, TX. The role involves developing and maintaining data pipeline architectures, collaborating with ...

Avani Technology Solutions, Inc.

Big Data Engineer

Austin, TX · On-site

$55.25 - $73/hr

... Big Data Pig Hive Spark & Scala. - The resource should have experience in SQL/DB2. - Excellent interpersonal verbal and written communication skills are required to interact with clients and Business ...

K-Tek Resourcing LLC

Java/Scala Big Data Engineer

Austin, TX · On-site

$55.25 - $73/hr

Senior Java/Scala Big Data Engineer Location: Sunnyvale, CA or Austin, TX Candidate Type: Hands-on technical coder Core requirements * Strong hands-on Java and/or Scala development * Apache Spark ...

Raas Infotek LLC

Lead Data Engineer

Manor, TX · On-site

$123K - $148K/yr

Hands-on experience with big data technologies: Spark, Hadoop, Kafka, Hive * Strong experience with ... Relevant cloud certifications (AWS Certified Data Analytics, Azure Data Engineer Associate, Google ...

The University of Texas at Austin

Data Engineer II

Austin, TX · On-site

$113K - $136K/yr

Big Data Processing: Proficiency with big data frameworks such as Apache Spark for distributed data ... Azure Data Engineer Associate * Google Cloud Professional Data Engineer * AWS Certified Data ...

1 point system

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

Strong critical thinking and ability to tackle big data challenges end-to-end * Proficiency with ... Azure also valued) * Familiarity with BI tools (e.g., Power BI, Tableau, Looker, Alteryx)

Deloitte

Sr Databricks Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Master's degree in Computer Science, Engineering, or a related field Experience in one or more of AWS, Azure, and GCP cloud ecosystems and associated big data services Experience tuning and ...

Dlapiper

Data Engineer

Austin, TX

$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 ...

Roku

Senior Data Engineer

Austin, TX

$105K - $142K/yr

About the team Roku's Data Engineering team develops a world-class big data platform so internal and external customers can leverage data to grow their businesses. Data Engineering works closely with ...

BakerHostetler

Data Solutions Engineer

Austin, TX · On-site

$113K - $136K/yr

... big data technologies like Azure Data Lake, Synapse Analytics, and Data Factory to handle and ... engineering, analytics, and business intelligence solutions. • Use Microsoft Power Platform and ...

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

Azure Big Data Engineer information

See Austin, TX salary details

$15

$62

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How much do azure big data engineer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for azure big data engineer in Austin, TX is $62.43, according to ZipRecruiter salary data. Most workers in this role earn between $53.12 and $70.29 per hour, depending on experience, location, and employer.

What does an Azure Big data engineer do?

An Azure Big Data Engineer is responsible for designing, building, and managing big data solutions using Microsoft Azure cloud technologies. They focus on processing large volumes of data, creating data pipelines, and ensuring data is stored and analyzed efficiently. Their work often involves tools such as Azure Data Lake, Azure Databricks, Azure Synapse Analytics, and Azure Data Factory. Azure Big Data Engineers collaborate with data scientists, analysts, and other IT professionals to enable data-driven decision-making within organizations.

What are the key skills and qualifications needed to thrive as an Azure Big data engineer?

To thrive as an Azure Big Data Engineer, you need expertise in data engineering, cloud computing, and programming languages such as Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with Azure Data Services (like Azure Data Lake, Azure Synapse Analytics, and Azure Databricks), as well as certifications like Microsoft Certified: Azure Data Engineer Associate, is highly valuable. Strong analytical thinking, problem-solving, and communication skills help you collaborate effectively with cross-functional teams and translate business needs into technical solutions. These skills and qualities are essential for building scalable, reliable data pipelines that drive business insights and innovation in cloud environments.

What are some common challenges Azure big data engineers face when integrating multiple data sources?

Azure Big Data Engineers often encounter challenges such as ensuring data consistency and quality when integrating disparate data sources like on-premises databases, cloud storage, and third-party APIs. Handling varying data formats and latency issues can also complicate data pipelines. To overcome these challenges, engineers typically use Azure Data Factory for orchestration, implement robust data validation, and collaborate closely with data architects and business analysts to align on integration requirements.

How much do Azure Big Data Engineers make?

Azure Big Data Engineers typically earn between $90,000 and $150,000 annually, depending on experience, location, and certifications such as Azure Data Engineer Associate. Salaries tend to be higher in regions with a strong tech industry and for professionals with advanced skills in cloud services and data processing tools.

Is Azure Big Data Engineer in demand?

Azure Big Data Engineers are in high demand due to the increasing adoption of cloud-based data solutions and the need for expertise in tools like Azure Data Lake, Synapse Analytics, and Spark. Organizations seek professionals skilled in data pipeline development, cloud architecture, and big data processing to support analytics and AI initiatives.

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

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

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

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

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

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

Azure Big Data Engineer jobs near you
Infographic showing various Azure Big Data Engineer 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 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,849 per year, or $62.4 per hour.

Big data Engineer

Omega Solutions, Inc.

Austin, TX • On-site

$55.25 - $73/hr

Full-time

Re-posted 9 days ago

Job description

Job Summary:
Omega Solutions, Inc. is seeking a Big Data Engineer to join their team. The role involves working with big data technologies and cloud services to develop and implement data solutions.
Qualifications:
Required:
• 8 years experience in BIG data development such as Hadoop/spark/hive
• 6+ years of hands on experience on AWS cloud
• 6+ years of experience in SNOWFLAKE
• 8+ years of experience in Python and data science libraries on data validation
Company:
Omega was incorporated in 2007 in the State of California to offer high end IT Solutions ranging from IT Software and product development to technology deployment and specialize in providing software solutions to diverse business sectors in USA and World-wide. Founded in 2007, the company is headquartered in Santa Clara, USA, with a team of 11-50 employees. The company is currently Early Stage.

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