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Remote Databricks Jobs in California (NOW HIRING)

Databricks Architect

Pleasanton, CA · Remote

$72 - $94.50/hr

Remote 10+ years experience in data eng, data platforms & analytics, 10+ years of consulting ... databricks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with deep ...

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 ... experience in development on databricks • Working knowledge of two or more common Cloud ...

As an experienced Databricks Manager you will have the ability to share new ideas and collaborate ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

As an experienced Databricks Manager you will have the ability to share new ideas and collaborate ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

As an experienced Databricks Manager you will have the ability to share new ideas and collaborate ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

As an experienced Databricks Manager you will have the ability to share new ideas and collaborate ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

As an experienced Databricks Manager you will have the ability to share new ideas and collaborate ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

As an experienced Databricks Manager you will have the ability to share new ideas and collaborate ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

As an experienced Databricks Manager you will have the ability to share new ideas and collaborate ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

As an experienced Databricks Manager you will have the ability to share new ideas and collaborate ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Data Platform Engineer

Santa Cruz, CA · On-site +1

$132K - $158K/yr

Applicants without hands-on Databricks or Microsoft Fabric pipeline experience will not be ... Remote(USA)or hybrid (Santa Cruz County, CA) Compensation:The estimated base salary range for this ...

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Remote Databricks information

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

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 are remote Databricks jobs?

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:

Databricks Architect

Data Piper

Pleasanton, CA • Remote

$72 - $94.50/hr

Full-time

Posted 16 days ago


Job description

Company Description

Data Piper provides specialized and competitive talent to help you build your team's capabilities and success. Our staff have proven experience from the most competitive companies in Silicon Valley, so you know they have the experience and dedication that you can trust. For short or long-term assignments, we will take the hassle out of finding the next perfect fit for your team.

Job Description

Title: Resident Solutions Architect

Job Type: Fulltime

Location: Remote

 

10+ years experience in data eng, data platforms & analytics, 10+ years of consulting experience

Completed Data Engineering Professional certification & required classes

Hands-on experience in development on 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 Spark with knowledge of Spark runtime internals

Familiarity with CI/CD for production deployments

Working knowledge of MLOps

Current knowledge across the breadth of Databricks product and platform features

Qualifications

Databricks, Unity Catalog, DLT Familiarity with Machine Learning

Additional Information

All your information will be kept confidential according to EEO guidelines.