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Contract Microsoft Azure Data Engineer Jobs in California

$180 - $240/hr

Design secure AI and data architectures on Microsoft Azure * Build architecture diagrams, reference architectures, and implementation roadmaps * Guide engineering teams through implementation

Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

This role combines hands-on data engineering with cloud data architecture, focusing on scalable ... Proven experience designing and implementing cloud-based data solutions on Microsoft Azure. Strong ...

Data Platform Engineer

La Mirada, CA · 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 · On-site +1

$123K - $148K/yr

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

Data Engineer

San Leandro, CA · On-site

$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 ...

Data Engineer

San Leandro, CA · 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 ...

... 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

Santa Rosa, CA · 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

Napa, CA · 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 ...

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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Contract Microsoft Azure Data Engineer information

What are some common challenges faced by Contract Microsoft Azure Data Engineers when joining new projects?

Contract Microsoft Azure Data Engineers often encounter challenges such as quickly understanding existing data architectures, adapting to varying data governance standards, and integrating with diverse client teams. Since contract roles are typically project-based, engineers must rapidly familiarize themselves with the organization’s Azure environment, security protocols, and workflow tools. Strong communication and a proactive approach to documentation help streamline collaboration with permanent team members, ensuring smooth project delivery despite tight timelines.

What are the key skills and qualifications needed to thrive as a Contract Microsoft Azure Data Engineer, and why are they important?

To thrive as a Contract Microsoft Azure Data Engineer, you need expertise in data modeling, ETL processes, SQL, and proficiency with Azure data services, typically supported by a degree in computer science or a related field. Familiarity with tools such as Azure Data Factory, Azure Synapse Analytics, Databricks, and relevant Azure certifications (like Azure Data Engineer Associate) are highly valued. Strong problem-solving, communication, and adaptability are essential soft skills for collaborating with stakeholders and addressing evolving project requirements. These skills ensure efficient data solutions, seamless cloud integration, and successful project delivery in dynamic enterprise environments.

What is a Contract Microsoft Azure Data Engineer?

Contract Microsoft Azure Data Engineers are professionals hired on a temporary or project basis to design, build, and manage data solutions using Microsoft Azure cloud services. They are responsible for developing data pipelines, integrating data from multiple sources, and ensuring data is stored securely and efficiently in the cloud. These engineers typically work with technologies like Azure Data Factory, Azure SQL Database, and Azure Databricks to support analytics and business intelligence needs. Their contract status means they may work for specific projects or short-term engagements rather than as permanent employees.

What is the difference between Contract Microsoft Azure Data Engineer vs Contract Data Engineer?

AspectContract Microsoft Azure Data EngineerContract Data Engineer
CertificationsAzure Data Engineer Associate, Azure certificationsGenerally no specific cloud certifications required
Work EnvironmentCloud-based, Azure platform-focusedOn-premises or cloud, various platforms
Industry UsageOrganizations using Microsoft AzureOrganizations using diverse data platforms
Job FocusDesigning, building, and maintaining Azure data solutionsDeveloping data pipelines and managing data workflows

The Contract Microsoft Azure Data Engineer primarily focuses on designing and implementing data solutions within the Azure cloud platform, often requiring specific Azure certifications. In contrast, a Contract Data Engineer may work across various environments, including on-premises or different cloud providers, with a broader scope of tools and platforms. The Azure Data Engineer role is ideal for those specializing in Microsoft Azure, while the Data Engineer role offers more flexibility across data environments.

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 are popular job titles related to Contract Microsoft Azure Data Engineer jobs in California? For Contract Microsoft Azure Data Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Contract Microsoft Azure Data Engineer jobs in California look for? The top searched job categories for Contract Microsoft Azure Data Engineer jobs in California are:
What cities in California are hiring for Contract Microsoft Azure Data Engineer jobs? Cities in California with the most Contract Microsoft Azure Data Engineer job openings:
Infographic showing various Contract Microsoft Azure Data Engineer job openings in California as of August 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 87% In-person, 4% Hybrid, and 9% Remote job distribution.

Microsoft Azure Data Engineer

GHK Technologies Inc.

Napa, CA • On-site

$150K/yr

Other

Posted 13 days ago


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 ‘big data’ 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 bachelor’s degree in computer science or closely related field and a minimum of five years of Azure migration experience.