2

Remote Databricks Data Engineer Jobs in California

... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for... * Build, configure, and ...

Data Engineer

Emeryville, CA · Remote

$132.40K - $159K/yr

TITLE: DATA ENGINEER LOCATION: 100% remote Skillsets/experience: * Engineer background * Google Applications/Analytics experience required * Google Search console experience required * Google Tag ...

Principal Data Engineer

San Francisco, CA · On-site +1

$157.25K - $212.75K/yr

As a Principal Data Engineer, you will work within the Engineering team and contribute to Tendo ... Experience with Delta Lake and/or Databricks. * Hands-on experience with machine learning workflows ...

Senior Data Engineer

Los Angeles, CA · On-site +1

$160K - $190K/yr

... remote work days. To learn more about the work we do at EDO, please visit EDO Press . The Role As a ... like LiveRamp, Snowflake or Databricks. * Exposure to identity/entity resolution and/or ...

Data Engineer

Irvine, CA · Remote

$123.40K - $148.20K/yr

Job Overview We are seeking a skilled Data Engineer with 3-5 years of experience specializing in ... Remote

Data Engineer - Remote

Aliso Viejo, CA · Remote

$121.10K - $145.50K/yr

*Must reside in PST Time Zone and be a US Citizen Job Overview We are seeking a skilled Data Engineer with 3-5 years of experience specializing in data analysis, writing queries, query optimization ...

Senior Data Engineer

San Diego, CA · On-site +1

$117.30K - $158.70K/yr

As a Senior Data Engineer, you will work within the Engineering team and contribute to Tendo ... Experience with Delta Lake and/or Databricks. * Hands-on experience with machine learning workflows ...

Data Engineer

San Francisco, CA · Remote

$134.90K - $162K/yr

We're ready to welcome Slite's first data engineer ... This is a remote position. What's my mission ? Own the BItoolchain : pick, implement and maintain ...

Senior Data Engineer

San Francisco, CA · On-site +1

$127.50K - $172.50K/yr

As a Senior Data Engineer, you will work within the Engineering team and contribute to Tendo ... Experience with Delta Lake and/or Databricks. * Hands-on experience with machine learning workflows ...

next page

Showing results 1-20

Remote Databricks Data Engineer information

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

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What are some common challenges faced by remote Databricks Data Engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.

What is a Remote Databricks Data Engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.
What are the most commonly searched types of Databricks Data Engineer jobs in California? The most popular types of Databricks Data Engineer jobs in California are:
What are popular job titles related to Remote Databricks Data Engineer jobs in California? For Remote Databricks Data Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Databricks Data Engineer jobs in California look for? The top searched job categories for Remote Databricks Data Engineer jobs in California are:
What cities in California are hiring for Remote Databricks Data Engineer jobs? Cities in California with the most Remote Databricks Data Engineer job openings:

Cloud Data Engineer - AI & Analytics Transformation - AIRLHV

NavitasPartners

San Diego, CA • On-site, Remote

$40/hr

Other

Posted 3 days ago


Job description

Cloud Data Engineer - AI & Analytics Transformation 

Location: US / Canada (Remote/Hybrid) 
Type: Contract / Full-Time 

Overview: 

Join a high-impact team delivering enterprise data and AI transformation initiatives. This role emphasizes building next-generation data ecosystems and enabling intelligent decision-making through advanced analytics. 

Key Responsibilities: 

  • Design and implement modern data architectures using cloud platforms  
  • Build and optimize ETL/ELT pipelines for large-scale datasets  
  • Work closely with cross-functional teams to deliver business insights  

Required Skills: 

  • Expertise in data engineering tools such as Snowflake, Databricks, or BigQuery  
  • Strong cloud experience (AWS, Azure, GCP)  
  • Experience in distributed data processing and pipeline orchestration  

Nice to Have: 

  • Exposure to ML engineering and MLOps practices  
  • Experience with GenAI or Agentic AI solutions  
  • Understanding of enterprise AI governance frameworks  

For more details reach at resumes@navitassols.com.