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Microsoft Azure Data Engineer Jobs in California

Data Platform Engineer

La Mirada, CA ยท On-site

$115K - $138K/yr

Position Summary The Data Platform Engineer is responsible for designing, supporting, and ... Design, build, and support modern data platforms across SQL Server, Azure, Microsoft Fabric, and ...

Microsoft Fabric Architect

Santa Clara, CA ยท On-site

$74 - $96.50/hr

Microsoft Fabric , Azure Data Services & Devops Job Summary: Seeking an experienced Azure Data Engineer to build, support, and optimize enterprise data pipelines using Microsoft Fabric and Azure Data ...

Data Engineer

Los Angeles, CA

$123K - $148K/yr

The Data Engineer designs, builds, and supports the data pipelines, integrations, and curated ... Develop orchestration and scheduling processes using Microsoft Fabric Data Pipelines, Azure Data ...

Data Engineer

Berkeley, CA ยท On-site

$140K - $168K/yr

The Data Engineer designs, builds, and supports the data pipelines, integrations, and curated ... Develop orchestration and scheduling processes using Microsoft Fabric Data Pipelines, Azure Data ...

Data Engineer

Berkeley, CA

$140K - $168K/yr

The Data Engineer designs, builds, and supports the data pipelines, integrations, and curated ... Develop orchestration and scheduling processes using Microsoft Fabric Data Pipelines, Azure Data ...

Data Engineer

Los Angeles, CA ยท On-site +1

$123K - $148K/yr

Data Engineer Location: California - Remote Duration: 6+ Months Contract The Senior Data Engineer ... Intermediate experience in RESTful APIs, messaging systems, and AWS or Microsoft Azure. * Extensive ...

... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Redwood Credit Union is looking for a Cloud Data Engineer, responsibilities include designing, implementing, and managing data solutions on Microsoft Azure and other cloud platforms. Oversee the ...

Redwood Credit Union is looking for a Cloud Data Engineer, responsibilities include designing, implementing, and managing data solutions on Microsoft Azure and other cloud platforms. Oversee the ...

Redwood Credit Union is looking for a Cloud Data Engineer, responsibilities include designing, implementing, and managing data solutions on Microsoft Azure and other cloud platforms. Oversee the ...

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Microsoft Azure Data Engineer information

What are the key skills and qualifications needed to thrive in the Microsoft Azure Data Engineer position, and why are they important?

To excel as a Microsoft Azure Data Engineer, you need expertise in data modeling, ETL processes, SQL, and cloud data services, usually validated by a computer science degree or similar field. Familiarity with Azure Data Factory, Azure SQL Database, Azure Synapse Analytics, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving abilities, attention to detail, and excellent communication skills help in collaborating with both technical and non-technical teams. These capabilities ensure efficient, secure, and scalable data solutions that meet business needs in dynamic enterprise environments.

What is a Microsoft Azure Data Engineer job?

A Microsoft Azure Data Engineer is responsible for designing, implementing, and managing data solutions on the Azure cloud platform. They work with structured and unstructured data, building data pipelines, optimizing storage, and ensuring efficient data processing. Their role includes using Azure services like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to support business intelligence and analytics. They also ensure data security, compliance, and performance optimization.

What are the typical daily responsibilities of a Microsoft Azure Data Engineer?

A Microsoft Azure Data Engineer usually spends their day designing, implementing, and maintaining data pipelines using Azure services to ensure the reliable flow and transformation of data. They collaborate closely with data scientists, analysts, and business stakeholders to understand requirements and deliver scalable solutions. Regular tasks might include optimizing database performance, troubleshooting data integration issues, writing code for data ingestion, and maintaining data security and compliance within the cloud environment. This multifaceted work environment offers varied challenges and opportunities for continuous learning and professional development.

What are the most commonly searched types of Microsoft Azure Data Engineer jobs in California? The most popular types of Microsoft Azure Data Engineer jobs in California are:
What job categories do people searching Microsoft Azure Data Engineer jobs in California look for? The top searched job categories for Microsoft Azure Data Engineer jobs in California are:
Infographic showing various Microsoft Azure Data Engineer 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.
Azure Data Engineer

$117K - $140K/yr

Full-time

Posted 24 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.