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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 ...

Data Engineer

Los Angeles, CA ยท On-site

$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

San Leandro, CA ยท Hybrid

$89K - $148K/yr

Data Engineer Location: San Leandro, California Work Arrangement: Hybrid (2-3 days per week in ... Experience with Microsoft Azure , including Azure Synapse Analytics, Azure Data Factory, Azure Data ...

New

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

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 ...

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 ...

... 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 ...

Cloud Data Engineer

Napa, CA ยท On-site

$115K - $151K/yr

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 ...

Cloud Data Engineer

Santa Rosa, CA ยท On-site

$115K - $151K/yr

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.

Microsoft Azure Data Engineer

GHK Technologies Inc.

Napa, CA โ€ข On-site

$150K/yr

Other

Posted 2 days ago

New


Job description

Full time regular position with Salary up to $150K/yr + excellent benefits and perks

Minimum of five years of Azure migration experience.

Our client, a reputed financial institution, is looking for a Cloud Data Engineer, responsibilities include designing, implementing, and managing data solutions on Microsoft Azure and other cloud platforms. Oversee the creation and maintenance of data pipelines, storage solutions, processing, analysis, and integration to facilitate data-driven decision-making. This role requires a combination of technical skills, analytical problem-solving, and collaboration with cross-functional teams to achieve data-driven goals.
Key Responsibilities

  • Design and implement scalable and secure data processing pipelines and storage environments using cloud services and tools
  • Collaborate with technical analysts, business analysts, and line of business stakeholders to understand data requirements and implement appropriate data solutions
  • Ensure data is cleansed, mapped, transformed, and otherwise optimized for storage and use according to business and technical requirements
  • Build effective data pipelines and workflows to streamline data ingestion, processing, and distribution tasks
  • Load transformed data into storage and reporting structures in destinations including data warehouse, reporting systems and analytics applications
  • Monitor and troubleshoot issues with the data environment to maintain high availability and performance
  • Provide on-call support for critical production systems
  • Implement data security measures, including encryption, access controls, and auditing, to protect sensitive information
  • Utilize analytics services to provide actionable insights and support data-driven decision-making
  • Maintain effective documentation regarding data procedures, systems, and architectures to maintain clarity and ensure compliance with regulatory standards
  • Mentor IT staff on security best practices and emerging technologies
  • Participate in continuous learning to stay current with cybersecurity advancements
  • Collaborate with colleagues to draft technology plans that enhance security posture

Minimum Qualifications: Knowledge, Skills and Abilities

  • Previous experience as an Azure Data Engineer or similar role
  • Proven experience using data processing languages such as Python and SQL
  • Experience with Azure: Data Factory, Databricks, Data Lake Storage, SQL DW, Analysis Services, and API - PySpark
  • ETL experience in a data warehouse environment using slowly changing dimensions
  • Experience building and optimizing โ€˜big dataโ€™ data pipelines, architectures, and data sets
  • Ability to multi-task in a fast-paced environment
  • Ability to prioritize tasks and projects using a browser -based tracking system
  • Familiarity with JIRA preferred
  • Current knowledge of laws, rules, and regulations pertaining to information technology relating to financial institutions
  • Ability to work independently with limited supervision
  • Ability to effectively interact and communicate with outside vendors and internal clients
  • Ability to communicate effectively both verbally and in writing
  • Ability to establish and maintain effective working relationships with a diverse group of people

Licenses and Certifications

  • Microsoft Certified Azure data engineer preferred

The ideal candidate has a combination of education and experience equivalent to a bachelorโ€™s degree in computer science or closely related field and a minimum of five years of Azure migration experience.