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Azure Data Engineer Jobs in California (NOW HIRING)

Omega Solutions, Inc.

Azure Data Engineer

Santa Clara, CA · On-site

$134K - $161K/yr

Omega Solutions, Inc. is looking for an Azure Data Engineer to join their Data Science and Platform team. In this role, you will develop and maintain data pipelines, work closely with Data Scientists ...

GEI Consultants

Data Engineer

Rancho Cordova, CA · On-site

$122K - $146K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure ...

GEI Consultants

Data Engineer

Rancho Cordova, CA · On-site

$90K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure ...

GEI Consultants

Data Engineer

Pasadena, CA · On-site

$90K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure ...

GEI Consultants

Data Engineer

Pasadena, CA · On-site

$124K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure ...

Addison Group

Senior Data Engineer

Emeryville, CA · On-site

$140/day

We're looking for an Azure Data Engineer to help build and enhance a modern cloud-based data platform. This role will focus on Azure Data Factory (ADF) as part of the existing ecosystem while also ...

Hyundai MOBIS

Data Engineer III, Cloud

Fountain Valley, CA · On-site

$125K - $150K/yr

Data Engineer III, Cloud We are searching for an experienced Data Engineer III, Cloud at our ... Azure Data Lake Storage (ADLS) * Azure SQL Database / Azure PostgreSQL * Azure ExpressRoute

Numentica LLC

Senior Databricks Data Engineer

Calabasas, CA · On-site

$120K - $145K/yr

Azure API Development * ETL Pipeline Development * DevOps & CI/CD * Apache Spark * SQL * Azure Data Services Key Responsibilities * Design and develop scalable batch and real-time data pipelines.

Living Spaces

Data Platform Engineer

La Mirada, CA · On-site

$115K - $138K/yr

Position Summary The Data Platform Engineer is responsible for designing, supporting, and ... Implement and support Azure data services, including Azure SQL Database, Azure SQL Managed Instance ...

Saransh Inc

Azure Engineer - Full Time

Aliso Viejo, CA · On-site

Bachelor's or Master's degree in Computer Science, Engineering, or related field. * 10+ years in data engineering/architecture with substantial hands-on depth in Azure. * Expert in Azure Databricks ...

Omega Solutions, Inc.

Azure Data Architect

Santa Clara, CA · On-site

$74.75 - $96.25/hr

Ensure plan execution, Document and share technical best practices / insights with Engineering team ... Data Platform and Azure Data Services • Create a data factory, orchestrate data processing ...

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All JobsAzure Data Engineer JobsAzure Data Engineer Jobs in California

Azure Data Engineer information

See California salary details

$43.9K

$128K

$175.2K

How much do azure data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for azure data engineer in California is $128,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

What is an Azure Data Engineer?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.

What are the key skills and qualifications needed to thrive as an Azure Data Engineer?

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

What are some common challenges Azure Data Engineers face when integrating data from multiple sources?

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

What is the difference between Azure Data Engineer vs Data Analyst?

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

Is an Azure Data Engineer a good career?

An Azure Data Engineer is a valuable role focused on designing and implementing data solutions using Microsoft Azure cloud services. It typically requires skills in data modeling, SQL, and tools like Azure Data Factory and Databricks, with certifications such as Microsoft Certified: Azure Data Engineer Associate enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data infrastructure across industries.

What are the most commonly searched types of Azure Data Engineer jobs in California?

The most popular types of Azure Data Engineer jobs in California are:

What are popular job titles related to Azure Data Engineer jobs in California?

For Azure Data Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Azure Data Engineer jobs in California look for?

The top searched job categories for Azure Data Engineer jobs in California are:

What cities in California are hiring for Azure Data Engineer jobs?

Cities in California with the most Azure Data Engineer job openings:

Azure Data Engineer jobs near you
Infographic showing various Azure Data Engineer job openings in California as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 85% In-person, 4% Hybrid, and 11% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

Azure Data Engineer

West Advanced Technologies (WATI)

Downey, CA • On-site

$117K - $140K/yr

Full-time

Re-posted 4 days ago

Job description

Job Title: (Azure Data Engineer) with Lakehouse Platform
Location: Downey, CA, 90242 :: Remote
Duration: 12 Months
Skills Required
Possess knowledge and technical expertise in standards and technologies to support complex business analysis, solution selection, systems design, and application integration - SQL and Relational Databases such as Oracle, SQL Server - Designing & developing SQL queries, stored procedures, views, debugging & tuning complex queries for optimal performance - UNIX shell scripts - Python - Azure Cloud - Azure Data Factory - Databricks - DataOps.
This classification must have a minimum of
seven (7) years of applying Enterprise Architecture principles.
At least five (5) years of that experience must be in a lead capacity. Q
5 years of experience in Azure Data Factory
5 years of experience in Databricks
5 years of experience in Managing Azure Resources
5 years of experience in automating Azure Data Resources using DataOps
5 years of experience in developing data models and data pipelines using Python
5 years of experience in Lakehouse Platform.
Education:
This classification requires the possession of a bachelor's degree in an IT-related or Engineering field. Additional qualifying experience may be substituted for the required education on a year-for-year basis.

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