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Junior Azure Data Factory Developer Jobs in California

Cumming Group

Junior Data Engineer

Murrieta, CA · On-site

$91K - $121K/yr

The Junior Data Engineer will support the development of scalable ETL/ELT pipelines, maintain data ... Support orchestration and scheduling of pipelines using Azure Data Factory and Databricks Jobs.

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 - Corporate

Data Platform Engineer

La Mirada, CA · On-site

$115K - $138K/yr

... Factory Microsoft Fabric Azure Storage / Data Lake concepts Azure Synapse Analytics Power BI semantic models Data modeling ETL/ELT design Data quality validation Python or PowerShell Git Azure DevOps ...

Sonsoft Inc

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 ...

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

Experience with Azure data services such as Azure SQL, Azure Data Factory, Azure Storage, Azure ... Azure DevOps or GitHub Actions • CI/CD practices • Infrastructure as code concepts • API ...

Paul Hastings

Senior Data Engineer

Los Angeles, CA

$194K/yr

Mentor junior data engineers and promote best practices in CI/CD, version control, and release management. Proficiencies: * Advanced proficiency inAzure Data Factory,Azure Data Lake Storage (Gen2 ...

LERETA, LLC

Senior Data Engineer

Pomona, CA

$114K - $140K/yr

Leads conversion of SSIS packages to Azure Data Factory, Snowflake OpenFlow and modern ELT ... Azure DevOps * Advanced SQL development and tuning * Microsoft Excel (advanced formulas, pivot ...

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 ... Azure DevOps * Advanced SQL development and tuning * Microsoft Excel (advanced formulas, pivot ...

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

Cadence

Data Warehouse Engineer

San Jose, CA · On-site

... 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. • ...

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Junior Azure Data Factory Developer information

What does a Junior Azure Data Factory Developer do?

A Junior Azure Data Factory Developer assists in designing, developing, and maintaining data integration solutions using Azure Data Factory (ADF). Their primary role is to build and manage data pipelines that extract, transform, and load (ETL) data from various sources into cloud-based data warehouses or storage solutions. They work closely with senior developers and data engineers to automate data workflows, troubleshoot issues, and ensure data is processed efficiently and securely. Additionally, they may write basic code, monitor pipeline performance, and help document processes as part of a larger data team.

What is the difference between Junior Azure Data Factory Developer vs Data Engineer?

AspectJunior Azure Data Factory DeveloperData Engineer
Required CredentialsBasic knowledge of Azure, certifications like Azure Data Engineer Associate helpfulBroader certifications like Azure Data Engineer, AWS, or GCP certifications often preferred
Work EnvironmentFocus on designing and developing data pipelines using Azure Data Factory in cloud environmentsDesigning, building, and maintaining scalable data systems across various platforms and tools
Employer & Industry UsageCommon in companies adopting Azure cloud solutions, especially in data-driven rolesWidespread across industries for managing large-scale data infrastructure

The Junior Azure Data Factory Developer primarily focuses on creating data pipelines within Azure using Data Factory, often as an entry-level role. In contrast, a Data Engineer has a broader scope, working with multiple tools and platforms to build comprehensive data systems. While both roles require knowledge of cloud data solutions, Data Engineers typically possess more advanced certifications and experience, handling complex data architecture tasks across various environments.

What are the key skills and qualifications needed to thrive as a Junior Azure Data Factory Developer, and why are they important?

To thrive as a Junior Azure Data Factory Developer, you need a solid understanding of data integration concepts, ETL processes, and a background in computer science or a related field. Familiarity with Microsoft Azure, especially Azure Data Factory, as well as proficiency in SQL, and knowledge of data storage solutions are typically required, with Azure certifications (like Azure Data Engineer Associate) being advantageous. Strong problem-solving skills, attention to detail, and effective communication help you collaborate within teams and resolve data-related challenges efficiently. These skills and qualifications are crucial for building robust data pipelines, ensuring data quality, and supporting analytics initiatives in cloud-based environments.

What are some common challenges faced by a Junior Azure Data Factory Developer, and how can they be addressed?

Junior Azure Data Factory Developers often encounter challenges such as troubleshooting complex data pipelines, managing data integration from diverse sources, and optimizing performance for large-scale data processing. To address these, it's important to become familiar with Azure's monitoring and debugging tools, maintain clear documentation, and collaborate closely with data engineers and business analysts. Seeking mentorship from senior developers and participating in regular code reviews can also help accelerate learning and build confidence in managing production workloads.
What are the most commonly searched types of Azure Data Factory Developer jobs in California? The most popular types of Azure Data Factory Developer jobs in California are:
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What job categories do people searching Junior Azure Data Factory Developer jobs in California look for? The top searched job categories for Junior Azure Data Factory Developer jobs in California are:
What cities in California are hiring for Junior Azure Data Factory Developer jobs? Cities in California with the most Junior Azure Data Factory Developer job openings:
Junior Azure Data Factory Developer jobs near you
Infographic showing various Junior Azure Data Factory Developer 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.

BFSI Azure Technical Lead (Lead Azure Data Engineer)-

MDAEdge

Oakland, CA • On-site

$74.50 - $97/hr

Full-time

Re-posted 3 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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