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Azure Data Factory Jobs in California (NOW HIRING)

Paul Hastings

Senior Data Engineer

Los Angeles, CA

$194K/yr

Design, build and manage scalable data pipelines usingAzure Data Factory (ADF),Azure Data Lake Storage (ADLS) andAzure Databricks; * Develop ELT frameworks for ingesting and transforming structured ...

BakerHostetler

Data Solutions Engineer

Los Angeles, CA

$123K - $148K/yr

Proficiency in the following tools, technologies, and data concepts: • Azure Data Factory, Azure SQL Database, PostgreSQL, Azure Blob Storage, Azure Data Lake Storage • Azure Synapse Analytics ...

Dlapiper

Data Engineer

Palo Alto, CA · On-site

$134K - $161K/yr

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

Dlapiper

Data Engineer

San Diego, CA · On-site

$121K - $146K/yr

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

Dlapiper

Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

Dlapiper

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

East West Bank

Enterprise Data Architect

Pasadena, CA · On-site

$130K/yr

Lead architecture design for Azure-native and cloud-based enterprise data platforms including Databricks, Azure Data Lake, Synapse, Microsoft Fabric, Azure Data Factory, and Power BI ecosystems.

East West Bank

Enterprise Data Architect

Pasadena, CA · On-site

Lead architecture design for Azure-native and cloud-based enterprise data platforms including Databricks, Azure Data Lake, Synapse, Microsoft Fabric, Azure Data Factory, and Power BI ecosystems.

East West Bank

Enterprise Data Architect

Pasadena, CA · On-site

Lead architecture design for Azure-native and cloud-based enterprise data platforms including Databricks, Azure Data Lake, Synapse, Microsoft Fabric, Azure Data Factory, and Power BI ecosystems.

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Showing results 21-40

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How much do azure data factory jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for azure data factory in California is $57.64, according to ZipRecruiter salary data. Most workers in this role earn between $52.21 and $64.76 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 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.

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 most commonly searched types of Azure Data Factory jobs in California?

The most popular types of Azure Data Factory jobs in California are:

What are popular job titles related to Azure Data Factory jobs in California?

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

What job categories do people searching Azure Data Factory jobs in California look for?

The top searched job categories for Azure Data Factory jobs in California are:

What cities in California are hiring for Azure Data Factory jobs?

Cities in California with the most Azure Data Factory job openings:

Azure Data Factory jobs near you
Infographic showing various Azure Data Factory job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $119,886 per year, or $57.6 per hour.

Data Scientist

Rootshell Enterprise Technologies, Inc.

Santa Clara, CA • On-site

Full-time

Re-posted 26 days ago

Job description

Greetings from Rootshell Inc,..
Role: Data Scientist
Location: Remote
Duration: Long Term
• 10 years of experience and 5 years of work experience in data scientist discipline in FMCG/CPG/Retail industry.
• Hands-on expertise in building advanced analytics/machine learning models for price elasticity, promo optimization, product recommendations in large enterprises of FMCG/CPG/Retail industries.
• Experience building machine learning applications in areas like time series forecasting, classification models, clustering models, multivariate regression models etc.
• Experience in Azure cloud with focus on Data Factory, Data Bricks, BLOBs, Data Lake Storage, ML Studio, Azure Analysis Services, Azure Data Warehouse.
Thanks & Regards,
Satish K
408-675-5095
satish@rootshellinc.com
https://www.linkedin.com/in/satish-kesap-74010941/

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