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Azure Databricks Jobs in California (NOW HIRING)

SDH Systems

Lead Databricks Engineer

San Jose, CA · On-site

$120K - $158K/yr

Design, build, and optimize scalable data pipelines using Databricks, Apache Spark, and Azure technologies. * Architect data warehousing solutions, ensuring seamless integration with cloud platforms ...

Qualified Health

Sr DevOps Engineer

Palo Alto, CA · On-site +1

$152K - $196K/yr

You'll architect and manage multi-tenant Azure environments, build robust Terraform automation, and maintain Databricks data platforms that process clinical data at scale. As a key member of our ...

Dlapiper

Data Engineer

San Diego, CA

$121K - $146K/yr

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

Dlapiper

Data Engineer

Palo Alto, CA

$134K - $161K/yr

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

Dlapiper

Data Engineer

Los Angeles, CA

$123K - $148K/yr

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

Dlapiper

Data Engineer

San Francisco, CA

$134K - $162K/yr

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

Data Piper

Databricks Architect

Pleasanton, CA · Remote

$72 - $94.50/hr

... databricks Working knowledge of two or more common Cloud ecosystems (AWS ... Azure, GCP) with deep expertise in at least one Deep experience with distributed computing with ...

Nisum

ML & AI Platform Engineer

San Jose, CA · On-site

$140K - $150K/yr

Architect and implement scalable ML and GenAI pipelines on Azure Databricks and enterprise cloud platforms. * Translate business problems into robust machine learning solutions through data ...

Data Piper

Databricks Architect

Pleasanton, CA · On-site +1

$72 - $94.50/hr

... Azure, GCP) with deep expertise in at least one • Deep experience with distributed computing with Spark with knowledge of Spark runtime internals • Familiarity with CI/CD for production ...

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All JobsAzure Databricks JobsAzure Databricks Jobs in California

Azure Databricks information

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How much do azure databricks jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for azure databricks in California is $57.64, according to ZipRecruiter salary data. Most workers in this role earn between $52.21 and $64.76 per hour, depending on experience, location, and employer.

Is Azure Databricks in demand?

Azure Databricks is a popular platform for data engineering, analytics, and machine learning, and professionals with skills in Spark, Python, and cloud environments are increasingly sought after. As organizations adopt cloud-based data solutions, demand for roles involving Azure Databricks continues to grow across industries.

What does a typical day look like for someone working in an Azure Databricks role?

A typical day for an Azure Databricks professional involves designing, developing, and maintaining data pipelines, collaborating with data scientists and business analysts to transform raw data into actionable insights. You may spend time configuring Spark clusters, optimizing query performance, ensuring data security, and troubleshooting data workflow issues. Regular meetings with stakeholders and team members are common to align on project requirements and report progress. This role often offers a mix of independent technical work and team collaboration, making it both dynamic and engaging.

Is Databricks a high paying job?

Azure Databricks professionals, such as data engineers and data scientists, typically earn above-average salaries due to their specialized skills in cloud platforms, big data processing, and machine learning. Compensation varies based on experience, location, and certifications, but these roles are generally well-paid within the tech industry.

What is a job in Azure Databricks?

A job in Azure Databricks refers to an automated task or set of tasks that run on the platform, such as data processing, machine learning model training, or data pipeline execution. These jobs are scheduled and managed through the Azure Databricks workspace, often requiring knowledge of Spark, Python, Scala, or SQL. They enable users to automate workflows and handle large-scale data analytics efficiently.

What is an Azure Databricks job?

An Azure Databricks job is a way to run a notebook, JAR, Python script, or other workload in an automated or scheduled manner on an Azure Databricks cluster. Jobs allow users to orchestrate data processing, machine learning tasks, or ETL workflows efficiently. They can be triggered manually, on a schedule, or in response to events, enabling streamlined data pipeline management. Jobs also support multi-task workflows, allowing dependencies between different tasks.

What is the salary of Azure Databricks developer?

The salary of an Azure Databricks developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and certifications. Skilled professionals with expertise in Spark, Python, and cloud environments tend to earn higher salaries.

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

To thrive as an Azure Databricks professional, you need expertise in big data analytics, data engineering, and proficiency with SQL, Python, and Apache Spark, typically supported by a degree in computer science or a related field. Familiarity with the Azure cloud ecosystem, Databricks platform tools, and advantageous certifications like Azure Data Engineer Associate are highly valuable. Strong problem-solving skills, collaboration, and the ability to communicate technical concepts clearly help set you apart in this role. These abilities are crucial for designing and optimizing scalable data solutions and effectively working within cross-functional data teams.

What are the most commonly searched types of Azure Databricks jobs in California? The most popular types of Azure Databricks jobs in California are:
What are popular job titles related to Azure Databricks jobs in California? For Azure Databricks jobs in California, the most frequently searched job titles are:
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What cities in California are hiring for Azure Databricks jobs? Cities in California with the most Azure Databricks job openings:
Azure Databricks jobs near you
Azure .NET Architect

Azure .NET Architect

1 point system

San Francisco, CA • On-site

$74.75 - $97.50/hr

Contractor

Re-posted 29 days ago

Job description

Position Overview:
Looking for a seasoned Azure .NET Architect to lead the design and implementation of scalable, secure, and AI-integrated solutions on the Microsoft Azure platform. This role demands a deep understanding of cloud-native architectures, AI/ML technologies, and enterprise-grade .NET development.
Key Responsibilities:

  • Architecture Design: Lead the design of hybrid and multi-cloud environments, integrating AI workloads with Azure services.
  • AI Integration: Architect and implement AI solutions using Azure Machine Learning, Azure OpenAI Service, and Azure Cognitive Services.
  • Cloud Infrastructure: Oversee cloud infrastructure modernization, leveraging Azure Kubernetes Service (AKS), Azure Functions, and microservices.
  • Security & Compliance: Implement and enforce Azure security best practices, identity management, and role-based access controls (RBAC).
  • DevOps & CI/CD: Architect and manage CI/CD pipelines for AI and enterprise applications using Azure DevOps and GitHub Actions.
  • Collaboration: Work closely with AI engineering, data science, and security teams to optimize Azure cloud solutions.
  • Experience: 12–15 years in designing, developing, and supporting enterprise-grade SaaS products using the Microsoft stack on Azure.

Technical Skills:

  • Proficiency in C#, ASP.NET, JavaScript, MVC, and client-side scripting (JavaScript, JQuery, Kendo).
  • Hands-on experience with Azure services including AKS, Azure Functions, Logic Apps, and Azure Machine Learning.
  • Familiarity with AI/ML frameworks and tools such as Infer.NET and ML.NET.
  • Certifications: Microsoft Certified: Azure Solutions Architect Expert (AZ-303/AZ-304) or equivalent.
  • Soft Skills: Strong communication skills to present ideas and solutions, with analytical abilities to troubleshoot issues.

Preferred Qualifications:

  • AI/ML Experience: Exposure to Generative AI technologies and experience in customizing LLM models.
  • Frontend Development: Experience with modern JavaScript frameworks like React
  • Additional Certifications: AI-102 (Azure AI Engineer Associate), DP-100 (Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications. Azure Solutions Architect