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Freelance Azure Data Factory Jobs in California (NOW HIRING)

Jobtailor

$180 - $240/hr

Azure Data Factory and/or Fabric Data Factory pipelines * Medallion architecture: Bronze, Silver, Gold * Power BI integration * Preferred Certifications: * Microsoft Certified: Azure Solutions ...

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 ...

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) • ...

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 ...

Sonsoft Inc

Azure With ADL/ADW/ADF

San Francisco, CA · On-site

$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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Freelance Azure Data Factory information

What is the difference between Freelance Azure Data Factory vs Freelance Data Engineer?

AspectFreelance Azure Data FactoryFreelance Data Engineer
CertificationsAzure Data Factory certifications, cloud skillsData engineering certifications, cloud and programming skills
Work EnvironmentCloud-based data integration projects on AzureBroader data infrastructure, including databases, pipelines, and cloud platforms
Industry UsagePrimarily in organizations using Azure cloud servicesAcross various industries, using multiple cloud and on-premises systems

Freelance Azure Data Factory specialists focus on designing and managing data pipelines within the Azure cloud platform, often requiring specific Azure certifications. Freelance Data Engineers have a broader scope, working on diverse data infrastructure projects across multiple platforms. While both roles involve data integration, Azure Data Factory freelancers specialize in cloud-based ETL processes on Azure, whereas Data Engineers handle end-to-end data solutions across various environments.

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Freelance Azure Data Factory jobs near you

BFSI Azure Technical Lead (Lead Azure Data Engineer)-

MDAEdge

Oakland, CA • On-site

$74.50 - $97/hr

Full-time

Re-posted 27 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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