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Trainee Azure Data Factory Developer Jobs in Sunnyvale, CA

Azure

San Francisco, CA

$64.75 - $80.50/hr

... Azure Datawarehouse, Azure Data Factory, PowerBI, b) Microsoft SQL Server Ecosystem ... Net/SQL with abilities to ramp up on USQL (programming language for Azure) Strong technical ...

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 ... Net/SQL with abilities to ramp up on USQL (programming language for Azure) * Strong technical ...

... Warehouse Engineer to develop solutions that meet business requirements. The role involves ... Expert-level knowledge of Azure Data Factory's features, capabilities, and best practices. • ...

Azure AI Architect

Fremont, CA · On-site

$69.50 - $90.50/hr

... DevOps Pipelines and/or GitHub Actions. * Implement separate Dev, Test, UAT, Staging, and Production deployment strategies. * Work with Azure Data Lake Storage Gen2, Azure Data Factory, Azure ...

Data Engineer

Palo Alto, CA · On-site

$134K - $161K/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 ...

Data Engineer

San Francisco, CA · On-site

$134K - $162K/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 ...

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Trainee Azure Data Factory Developer information

See Sunnyvale, CA salary details

$12

$68

$93

How much do trainee azure data factory developer jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for trainee azure data factory developer in Sunnyvale, CA is $68.54, according to ZipRecruiter salary data. Most workers in this role earn between $62.07 and $77.02 per hour, depending on experience, location, and employer.

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BFSI Azure Technical Lead (Lead Azure Data Engineer)-

MDAEdge

Oakland, CA • On-site

$74.50 - $97/hr

Full-time

Re-posted yesterday


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.