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Azure Databricks Jobs in California (NOW HIRING)

Nisum

ML & GenAI Platform Engineer

San Jose, CA

Experience working with cloud AI ecosystems (Azure AI, Azure ML, Databricks preferred). * Familiarity with containerization and deployment tools (Docker, Kubernetes, REST APIs). Preferred ...

New

Qualified Health

Sr DevOps Engineer

Palo Alto, CA · On-site

$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 ...

New

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

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 ...

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 ...

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 ...

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How much do azure databricks jobs pay per hour?

As of Jun 19, 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 highly sought-after skill in data engineering and analytics roles due to its widespread adoption for big data processing and machine learning. Professionals with expertise in Spark, cloud platforms, and data pipelines using Azure Databricks are increasingly in demand across industries seeking scalable data solutions.

How much do Databricks employees make?

Azure Databricks employees' salaries vary based on role, experience, and location, but the average salary for data engineers and data scientists ranges from $100,000 to $150,000 annually. Entry-level positions typically start around $80,000, while senior roles can exceed $180,000. Compensation often includes benefits such as stock options and performance bonuses, especially for technical roles requiring expertise in cloud platforms and big data tools.

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.

What are jobs in Azure Databricks?

Jobs in Azure Databricks refer to automated tasks or workflows that run data processing, analytics, or machine learning tasks on the platform. They are scheduled or triggered to execute notebooks, JAR files, or Python scripts, often requiring knowledge of Spark, Scala, or Python, and are managed through the Azure Databricks workspace. These jobs enable scalable data engineering and analytics operations for data teams.

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 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.

Are Databricks skills in demand?

Azure Databricks skills are highly in demand as organizations seek professionals proficient in cloud-based data analytics, big data processing, and machine learning. Knowledge of Spark, Python, and data engineering concepts enhances job prospects in roles such as data engineer, data scientist, and analytics engineer.
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Azure Databricks jobs near you
Infographic showing various Azure Databricks job openings in California as of June 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $119,886 per year, or $57.6 per hour.

AI/ML Data Engineer (Databricks)

Ortho Clinical Diagnostics

San Diego, CA • On-site

$121K - $146K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

The Opportunity
QuidelOrtho unites the strengths of Quidel Corporation and Ortho Clinical Diagnostics, creating a world-leading in vitro diagnostics company with award-winning expertise in immunoassay and molecular testing, clinical chemistry and transfusion medicine. We are more than 6,000 strong and do business in over 130 countries, providing answers with fast, accurate and consistent testing where and when they are needed most - home to hospital, lab to clinic.
Our culture puts our team members first and prioritizes actions that support happiness, inspiration and engagement. We strive to build meaningful connections with each other as we believe that employee happiness and business success are linked. Join us in our mission to transform the power of diagnostics into a healthier future for all.
The Role
At QuidelOrtho, we're advancing the power of diagnostics for a healthier future for all. Join our mission as our next AI/ML Data Engineer to support our Global Data and Analytics team. The AI/ML Data Engineer will be responsible for designing, building, and optimizing data pipelines and infrastructure using Databricks to support AI and machine learning (ML) initiatives. This role will involve working closely with business stakeholders to identify high-value AI/ML use cases and translating business requirements into technical solutions. The engineer will work to ensure the successful deployment of AI/ML solutions at scale, leveraging Azure services and Databricks tools.
This position will support a hybrid schedule at our San Diego (Summers Ridge) office.
The Responsibilities
  • Work directly with business stakeholders to identify and define AI/ML use cases, translating business needs into technical requirements.
  • Design, develop, and optimize scalable data pipelines in Databricks for AI/ML applications, ensuring efficient data ingestion, transformation, and storage.
  • Build and manage Apache Spark-based data processing jobs in Databricks, ensuring performance optimization and resource efficiency.
  • Implement ETL/ELT processes and orchestrate workflows using Azure Data Factory, integrating various data sources such as Azure Data Lake, Blob Storage, and Microsoft Fabric.
  • Collaborate with Data Engineering teams to meet data infrastructure needs for model training, tuning, and deployment within Databricks and Azure Machine Learning.
  • Monitor, troubleshoot, and resolve issues within Databricks workflows, ensuring smooth operation and minimal downtime.
  • Implement best practices for data security, governance, and compliance within Databricks and Azure environments.
  • Automate data and machine learning workflows using CI/CD pipelines through Azure DevOps.
  • Maintain documentation of workflows, processes, and best practices to ensure knowledge sharing across teams.
  • Perform other work-related duties as assigned.

The Individual
Required:
  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
  • 1-3 years of experience in data engineering, with a strong focus on Databricks and AI/ML applications.
  • Proven experience working directly with business stakeholders to identify and implement AI/ML use cases.
  • Expertise in Apache Spark and hands-on experience with Databricks for building and optimizing data pipelines.
  • Strong programming skills in Python and Scala for data engineering and machine learning workflows in Databricks.
  • Experience with Azure Data Factory, Azure Data Lake, Azure Blob Storage, and Azure Synapse Analytics.
  • Proficiency with Databricks Delta Lake for data reliability and performance optimization.
  • Familiarity with MLflow and Databricks Runtime for Machine Learning for model management and deployment.
  • Knowledge of Azure DevOps for implementing CI/CD pipelines in Databricks-based projects.
  • Strong understanding of data governance, security practices, and compliance requirements in cloud environments.
  • Familiarity with emerging Databricks features such as Delta Live Tables and Unity Catalog.
  • Ability to travel up to 5-10%.
  • This position is not currently eligible for visa sponsorship.

Preferred:
  • Experience with real-time data processing using Apache Kafka or Azure Event Hubs.
  • Master's degree in Computer Science or related technical fields.

The Key Working Relationships
Internal Partners:
  • Regular collaboration with business stakeholders to identify and implement AI/ML solutions that drive business value.
  • Close interaction with data engineers and cross-functional teams to ensure the successful integration of data pipelines and AI/ML models.
  • Work alongside IT teams to optimize cloud infrastructure and resource allocation within Databricks and Azure.

External Partners:
  • Customers and Vendors.

The Work Environment
No strenuous physical activity, though occasional light lifting of files and related materials is required. 30% of time in meetings, working with team, or talking on the phone, 70% of the time at the desk on computer, doing analytical work. Minimal travel required 5-10%. Travel includes airplane, automobile travel and overnight hotel.
Physical Demands
Typically, 40% of time in meetings; 60% of time at the desk on computer/doing paperwork/ on phone, doing analytical work. Walking, standing, and sitting for long periods of time are routine to accomplish tasks in this role. Specific vision abilities required by this job include close and distance vision and the ability to adjust focus. Ability to travel on short term notice.
Salary Transparency
The salary range for this position takes into account a wide range of factors including education, experience, knowledge, skills, geography, and abilities of the candidate, in addition to internal equity and alignment with market data. At QuidelOrtho, it is not typical for an individual to be hired at or near the top range for their role and compensation decisions are dependent on the facts and circumstances of each case. The salary range for this position is $70,000 to $80,000 and is bonus eligible. QuidelOrtho offers a comprehensive benefits package including medical, dental, vision, life, and disability insurance, along with a 401(k) plan, employee assistance program, Employee Stock Purchase Plan, paid time off (including sick time), and paid Holidays. All benefits are non-contractual, and QuidelOrtho may amend, terminate, or enhance the benefits provided, as it deems appropriate.
Equal Opportunity
QuidelOrtho believes in Equal Opportunity for all and is committed to ensuring all individuals, including individuals with disabilities, have an opportunity to apply for those positions that they are interested in and qualify for without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other protected characteristic. QuidelOrtho is also committed to providing reasonable accommodations to qualified individuals so that an individual can perform the duties. If you are interested in applying for an employment opportunity and require special assistance or an accommodation to apply due to a disability, please contact us at recruiting@quidelortho.com.

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