ZipRecruiter

Log In

2

Remote Azure Databricks Jobs in California (NOW HIRING)

QuickLaunch Analytics

Data Platform Engineer

Santa Cruz, CA · On-site +1

$132K - $158K/yr

You'llwork across Azure, Databricks, and Microsoft Fabric to implement scalable, production-ready ... Remote(USA)or hybrid (Santa Cruz County, CA) Compensation:The estimated base salary range for this ...

Data Piper

Databricks Architect

Pleasanton, CA · Remote

$72 - $94.50/hr

Remote 10+ years experience in data eng, data platforms & analytics, 10+ years of consulting ... Azure, GCP) with deep expertise in at least one Deep experience with distributed computing with ...

Data Piper

Databricks Architect

Pleasanton, CA · On-site +1

$72 - $94.50/hr

Remote • 10+ years experience in data eng, data platforms & analytics, 10+ years of consulting ... ecosystems (AWS, Azure, GCP) with deep expertise in at least one • Deep experience with ...

Deloitte

Databricks Manager

San Francisco, CA · On-site +1

Experience building Databricks environments in Microsoft Azure Cloud Services, Amazon Web Services ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Deloitte

Databricks Manager

San Jose, CA · On-site +1

Experience building Databricks environments in Microsoft Azure Cloud Services, Amazon Web Services ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Deloitte

Databricks Manager

San Diego, CA · On-site +1

Experience building Databricks environments in Microsoft Azure Cloud Services, Amazon Web Services ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Deloitte

Databricks Manager

Fresno, CA · On-site +1

Experience building Databricks environments in Microsoft Azure Cloud Services, Amazon Web Services ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Deloitte

Databricks Manager

Sacramento, CA · On-site +1

Experience building Databricks environments in Microsoft Azure Cloud Services, Amazon Web Services ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Deloitte

Databricks Manager

Inglewood, CA · On-site +1

Experience building Databricks environments in Microsoft Azure Cloud Services, Amazon Web Services ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Deloitte

Databricks Manager

Costa Mesa, CA · On-site +1

Experience building Databricks environments in Microsoft Azure Cloud Services, Amazon Web Services ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Deloitte

Databricks Manager

Los Angeles, CA · On-site +1

Experience building Databricks environments in Microsoft Azure Cloud Services, Amazon Web Services ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Tanisha Systems, Inc.

Data Scientist

Santa Clara, CA · On-site +1

Data Scientist Salary - Market (DOE) REMOTE / Work From Home Full-Time / Direct-Hire As Data ... Client portfolios on Databricks (Azure). Work closely with commercial, supply chain, and ...

Mindlance

Engr 3, Software

San Diego, CA · Remote

Remote bill rate is *** - *** Responsible for data engineering and AI agent development ... Gold) in Databricks using Delta Lake * Ingest and process unstructured data (PDFs, images ...

next page

Showing results 1-20

All JobsRemote Azure Databricks JobsRemote Azure Databricks Jobs in California

Remote Azure Databricks information

What are Remote Azure Databricks jobs?

Remote Azure Databricks jobs are positions where professionals use Azure Databricks—a cloud-based analytics platform optimized for big data and machine learning—while working from a remote location. These roles typically involve tasks like building data pipelines, analyzing large datasets, developing and deploying machine learning models, and collaborating with teams virtually. Remote Azure Databricks professionals need strong skills in Spark, Python or Scala, and a good understanding of cloud computing. They often work as data engineers, data scientists, or analytics specialists, leveraging the platform’s capabilities to deliver data-driven insights for organizations.

What is the difference between Remote Azure Databricks vs Remote Data Engineer?

AspectRemote Azure DatabricksRemote Data Engineer
Required CredentialsAzure certifications, Spark/Databricks knowledgeData engineering certifications, SQL, cloud platform skills
Work EnvironmentCloud-based, collaborative platform for data analyticsData pipelines, database management, cloud environments
Industry UsageData analytics, AI, machine learning projectsData pipeline development, ETL processes

Remote Azure Databricks specialists focus on leveraging the Databricks platform for data analytics and machine learning, often working within cloud environments. Remote Data Engineers build and maintain data pipelines and infrastructure, frequently using cloud tools. While both roles require cloud and data skills, Azure Databricks roles are more centered on analytics and AI, whereas Data Engineers focus on data infrastructure and processing.

What are the key skills and qualifications needed to thrive as a Remote Azure Databricks professional, and why are they important?

To thrive as a Remote Azure Databricks professional, you need strong expertise in data engineering, cloud computing, and proficiency in programming languages such as Python or Scala, typically supported by a relevant degree or certifications. Familiarity with Azure services, Databricks platform, Spark, and data pipeline orchestration tools is essential, often validated by Microsoft Azure or Databricks certifications. Excellent problem-solving, collaboration, and communication skills help you work effectively in distributed teams and convey complex technical concepts clearly. These skills and qualifications ensure robust data solutions, efficient remote teamwork, and the ability to leverage cloud analytics for business impact.

What are some common challenges faced by Remote Azure Databricks engineers, and how can they be managed?

Remote Azure Databricks engineers often encounter challenges related to collaboration and data security. Since Databricks projects typically involve large datasets and multiple stakeholders, coordinating work across time zones and ensuring secure data access can be complex. To manage these challenges, it's important to establish clear communication channels, use project management tools, and follow best practices in data governance. Regular team meetings and thorough documentation also help maintain alignment and ensure project success.
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 Remote Azure Databricks jobs in California? For Remote Azure Databricks jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Azure Databricks jobs in California look for? The top searched job categories for Remote Azure Databricks jobs in California are:
What cities in California are hiring for Remote Azure Databricks jobs? Cities in California with the most Remote Azure Databricks job openings:
Remote Azure Databricks jobs near you
Infographic showing various Remote Azure Databricks job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.
Azure ML Ops Consultant - Remote

Azure ML Ops Consultant - Remote

NAVA Software Solutions

San Francisco, CA • On-site, Remote

Full-time

Posted 27 days ago

Job description

NAVA Software solutions is looking for a Azure ML Ops Consultant for one of our clients,
Details:
Azure ML Ops Consultant
Location: 100% Remote
Duration: 6-12 months
Exp : 10 yrs+
Qualifications
  • Work across the full stack is a must have requirement, moving seamlessly between programming languages and technologies: Python, PySpark, MLFlow, Azure Databricks, ADLS, Snowflake, Azure DevOps, API, Kuberenetes etc
  • Hands-on experience with cloud analytics services (Primarily Azure)
  • Infrastructure (Server, Storage, and Database) discovery, design, build, and migration experience
  • Experience in any of Messaging platforms (Kafka, Azure EventHub, Iot Hub, etc
  • Experience in Kubernetes and Microservices
  • Knowledge of various database technologies - SQL, NoSQL, Blob, file system, object store etc
  • Create and develop CI/CD Pipelines that allow for controlled and continuous enhancement of existing work and new features during both development and production phases
  • Experience supporting and working with cross-functional teams in an agile environment
  • Experience in agile product development
  • Experience in the operationalization of Data Science projects (MLOPs) in Azure

Responsibilities
  • The MLOps Engineer will work closely with the data scientists working on AI products and solutions across various K-C business units to take the AI models developed and operationalize and own the life cycle management of the models in production for continuous value creation The role will lead our strategic effort of AI life cycle management capabilities such as continuous deployment, model drift and behavior monitoring, model governance, retraining in alignment with business KPIs for continuous value creation for business
  • Provide data science expertise for AI products, programs across business units within KC
  • Work with teams to design and build cloud based automated pipeline that run, monitor and retrain AI/ML models using agile methodologies
  • Have a strategic perspective of how several ML solutions come together against a set of business objectives, product and AI strategy leading to optimal operations of the models
  • Enhance and improve the code deployment and model monitoring frameworks and project operations documentation
  • Lead the scalable implementation of solution for AI model governance and model behavior analytics
  • Support life cycle management of AI models (eg, new releases, change management, monitoring, retraining, and troubleshooting)
  • Compare solution alternatives across both technical and business parameters which support the define cost and service requirements
  • Create & evolve data & analytics technology roadmap, to align with continuously evolving business needs including overall architecture, capabilities, platforms, tools & governing processes
  • Create, maintain & communicate positioning/go-forward strategies for data & analytic capabilities/tools
  • Own strategic technology relationships with technology vendors & external communities/partners
  • Help define/improve best practices, guidelines & integration with other enterprise solutions
NAVA Software Solutions logo

About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

Social media

Facebook

View All NAVA Software Solutions Jobs

Apply