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Azure Data Factory Jobs in California (NOW HIRING)

Sonsoft Inc

Azure

San Francisco, CA

$64.75 - $80.50/hr

... Azure Data Factory, PowerBI, b) Microsoft SQL Server Ecosystem - Multidimensional cubes, MDX, T-SQL c) Hadoop Ecosystem - HDFS, Spark, MapReduce, Pig, Hive 2. Experience building Data warehouses ...

Addison Group

Senior Data Engineer

Emeryville, CA · On-site

$140/day

This role will focus on Azure Data Factory (ADF) as part of the existing ecosystem while also supporting a shift toward more modern, code-first data engineering practices including Python-based ...

Living Spaces

Data Platform Engineer

La Mirada, CA · On-site

$115K - $138K/yr

Implement and support Azure data services, including Azure SQL Database, Azure SQL Managed Instance, Azure Data Factory, Azure Storage, Azure Key Vault, and related services. * Support Microsoft ...

LERETA, LLC

Senior Data Engineer

Pomona, CA

$114K - $140K/yr

Leads conversion of SSIS packages to Azure Data Factory, Snowflake OpenFlow and modern ELT frameworks * Designs scalable ingestion patterns to prevent duplicate extracts and enable incremental ...

Lereta

Senior Data Engineer

Pomona, CA · On-site

$114K - $140K/yr

Leads conversion of SSIS packages to Azure Data Factory, Snowflake OpenFlow and modern ELT frameworks * Designs scalable ingestion patterns to prevent duplicate extracts and enable incremental ...

Cadence

Data Warehouse Engineer

San Jose, CA · On-site

Expert-level knowledge of Azure Data Factory's features, capabilities, and best practices. • Master in Azure SQL stack architecture (SQL Server, SQL Warehouse and Azure Data factory) • ...

Sonsoft Inc

Azure With ADL/ADW/ADF

San Francisco, CA

$64.75 - $80.50/hr

Microsoft Cortana Analytics Suite - Azure Data Lake, Azure Datawarehouse, Azure Data Factory, PowerBI, * Microsoft SQL Server Ecosystem - Multidimensional cubes, MDX, T-SQL * Hadoop Ecosystem - HDFS ...

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How much do azure data factory jobs pay per hour?

As of Aug 5, 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 July 2026, with employment types broken down into 90% Full Time, 4% Part Time, and 6% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $119,886 per year, or $57.6 per hour.

BFSI Azure Technical Lead (Lead Azure Data Engineer)-

MDAEdge

Oakland, CA • On-site

$74.50 - $97/hr

Full-time

Re-posted 9 days ago

Job description

Job Summary:
MDAEdge is seeking a skilled Azure Technical Lead (Lead Azure Data Engineer) with strong experience in building scalable data pipelines using Azure Data Factory and Azure Databricks. The role involves migrating traditional ETL workloads to modern ELT architectures on the cloud and working directly with client stakeholders.
Responsibilities:
• Design, develop, and maintain Azure Data Factory (ADF) pipelines and Azure Databricks (ADB) notebooks using PySpark.
• Migrate legacy RDBMS/ETL workloads into modern Data Lake/ELT architectures on Azure.
• Analyze, design, and implement scalable solutions involving Azure Data Lake and data marts.
• Collaborate directly with business and technical stakeholders to gather requirements and deliver solutions.
• Ensure best practices in performance, security, and DevOps for data pipeline development.
Qualifications:
Required:
• Proven expertise in Azure Data Engineering tools: Azure Data Factory (ADF), Azure Databricks (ADB), Azure Data Lake Storage Gen2, Azure SQL DB, Azure DevOps, Key Vault, Storage Accounts
• Strong hands-on experience with PySpark and PL/SQL
• Experience migrating traditional ETL workloads to cloud-based ELT/data lake architectures
Preferred:
• Experience with DataStage and SQL Server
• Strong communication and collaboration skills
• Ability to work in a client-facing role with overlapping U.S. time zone availability
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.

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