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Entry Level Azure Data Factory Jobs in California

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 ...

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 ...

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) • ...

Data Engineer

Los Angeles, CA

$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 ...

Data Engineer

San Diego, CA

$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 ...

Data Engineer

San Francisco, CA

$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 ...

Data Engineer

Palo Alto, CA

$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 ...

Data Engineer

Santa Fe Springs, CA · On-site

$116K - $139K/yr

Familiarity with Azure data services (Data Factory, Synapse, or SQL Database) or a comparable cloud platform * Comfort operating in a hybrid environment where legacy systems and modern cloud ...

Data Engineer

Santa Fe Springs, CA · Hybrid

$116K - $139K/yr

Familiarity with Azure data services (Data Factory, Synapse, or SQL Database) or a comparable cloud platform * Comfort operating in a hybrid environment where legacy systems and modern cloud ...

Data Engineer

Santa Fe Springs, CA · Hybrid

$116K - $139K/yr

Familiarity with Azure data services (Data Factory, Synapse, or SQL Database) or a comparable cloud platform * Comfort operating in a hybrid environment where legacy systems and modern cloud ...

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Entry Level Azure Data Factory information

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:
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What job categories do people searching Entry Level Azure Data Factory jobs in California look for? The top searched job categories for Entry Level Azure Data Factory jobs in California are:
What cities in California are hiring for Entry Level Azure Data Factory jobs? Cities in California with the most Entry Level Azure Data Factory job openings:
Infographic showing various Entry Level Azure Data Factory job openings in California as of July 2026, with employment types broken down into 69% Full Time, and 31% Contract. Highlights an 71% In-person, 10% Hybrid, and 19% Remote job distribution.

BFSI Azure Technical Lead (Lead Azure Data Engineer)-

MDAEdge

Oakland, CA • On-site

$74.50 - $97/hr

Full-time

Re-posted 8 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.