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Remote Databricks Jobs in California (NOW HIRING)

Data Product Manager

San Diego, CA · On-site +1

$120K - $140K/yr

Remote or Hybrid is not available. Key Responsibilities: * Own and manage the data engineering ... Champion AI-assisted development and automation (e.g., dbt auto-tests, Databricks notebooks, CI/CD ...

... and Databricks * Ensure client satisfaction through consistent support, impactful thought ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

... and Databricks * Ensure client satisfaction through consistent support, impactful thought ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Sr. Database Administrator

Irvine, CA · On-site +1

$120K - $145K/yr

About This Job We are seeking a SQL DBA with hands-on Databricks experience to support and optimize ... San Diego, CA Irvine, CA Los Angeles, CA Centennial, CO Las Vegas, NV Remote or Hybrid is not ...

Data Engineer

Los Angeles, CA · On-site +1

$123K - $148K/yr

California - Remote Duration: 6+ Months Contract The Senior Data Engineer is responsible for ... Hands-on experience with Databricks, Spark, Fabric, or similar technologies * Experience in Agile ...

Sr. Database Administrator

San Diego, CA · On-site +1

$120K - $145K/yr

About This Job We are seeking a SQL DBA with hands-on Databricks experience to support and optimize ... San Diego, CA Irvine, CA Los Angeles, CA Centennial, CO Las Vegas, NV Remote or Hybrid is not ...

Sr. Database Administrator

Los Angeles, CA · On-site +1

$120K - $145K/yr

About This Job We are seeking a SQL DBA with hands-on Databricks experience to support and optimize ... San Diego, CA Irvine, CA Los Angeles, CA Centennial, CO Las Vegas, NV Remote or Hybrid is not ...

Senior Software Engineer

Los Angeles, CA · On-site +1

$160K - $224K/yr

Design, build, and scale distributed Scala/Spark pipelines on Databricks that compute audience ... We will consider remote candidates for this role. #Ll-KD1 #Adrise #Ll-Hybrid Learn more about Fox ...

Showing results 21-40

Remote Databricks information

What are the key skills and qualifications needed to thrive as a remote Databricks engineer?

To thrive as a Remote Databricks Engineer, you need a strong background in data engineering, cloud computing (especially Azure or AWS), and proficiency in languages like Python or Scala, often supported by a degree in computer science or a related field. Familiarity with Databricks platform tools, Spark, SQL, and relevant certifications such as Databricks Certified Data Engineer Associate are typically required. Strong problem-solving, communication, and self-motivation skills help you excel in remote and collaborative data-driven environments. These skills are essential for efficiently designing scalable data solutions and collaborating virtually to drive business value.

How does a remote Databricks engineer typically collaborate with cross-functional teams?

As a remote Databricks engineer, you will frequently work with data scientists, analysts, and other engineers through virtual collaboration tools such as Slack, Jira, and Zoom. Regular stand-up meetings, code reviews, and shared documentation platforms help maintain alignment across distributed teams. You'll often contribute to shared Databricks notebooks and participate in sprint planning to ensure data pipelines and analytics workflows meet business requirements. Effective communication and proactive documentation are key to successful remote collaboration in this role.

What is a remote Databricks engineer?

Remote Databricks jobs are positions that involve working with the Databricks data analytics platform from a location outside of a traditional office, typically from home or another remote setting. These roles often focus on developing data pipelines, analyzing big data, building machine learning models, or managing cloud infrastructure using Databricks. Employees use collaboration tools and cloud-based environments to connect with their teams and access the Databricks platform securely. Remote Databricks jobs may be available for data engineers, data scientists, machine learning engineers, and DevOps professionals. The flexibility of remote work allows professionals to collaborate with global teams while leveraging Databricks’ powerful data processing and analytics capabilities.

What are the most commonly searched types of Databricks jobs in California?

The most popular types of Databricks jobs in California are:

What job categories do people searching Remote Databricks jobs in California look for?

The top searched job categories for Remote Databricks jobs in California are:

What cities in California are hiring for Remote Databricks jobs?

Cities in California with the most Remote Databricks job openings:

Infographic showing various Remote Databricks job openings in California as of August 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 100% Remote job distribution.

Azure ML Ops Consultant - Remote

NAVA Software Solutions

San Francisco, CA • On-site, Remote

Full-time

Re-posted yesterday


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

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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

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