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Databricks Developer Jobs in California (NOW HIRING)

SDH Systems

Sr Databricks Engineer

San Diego, CA

$110K - $152K/yr

Job Title: Sr Databricks Engineer Location: San Jose, CA (5 days on-site) Hybrid role: 4 days onsite per week in San Jose, CA Job Overview We are seeking an experienced Senior Data Engineer to join ...

Yantran LLC

Azure Databricks Engineer

Irvine, CA · On-site

$59 - $73.25/hr

Azure Databricks Engineer (Day1 Onsite) Location: Branchville, NJ, Hartford, CA, Charlotte, NC ... Familiarity with Azure DevOps for CI/CD processes. * Experience with machine learning frameworks ...

Deloitte

Sr Databricks Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline ... As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and ...

Deloitte

Sr Databricks Data Engineer

Costa Mesa, CA

$122K - $147K/yr

Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline ... As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and ...

Deloitte

Sr Databricks Data Engineer

San Diego, CA

$121K - $146K/yr

Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline ... As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and ...

Deloitte

Sr Databricks Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline ... As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and ...

Deloitte

Sr Databricks Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline ... As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and ...

Deloitte

Sr Databricks Data Engineer

Sacramento, CA · On-site

$122K - $146K/yr

Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline ... As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and ...

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How much do databricks developer jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for databricks developer in California is $60.69, according to ZipRecruiter salary data. Most workers in this role earn between $54.57 and $67.12 per hour, depending on experience, location, and employer.

What is a Databricks Developer job?

A Databricks Developer is responsible for designing, developing, and optimizing data pipelines and workflows using Databricks, a cloud-based data analytics platform. They work with big data technologies, such as Apache Spark, to process, transform, and analyze large datasets efficiently. Their role includes writing scalable code, creating data models, and collaborating with data engineers and analysts to support business intelligence and machine learning initiatives.

What are the key skills and qualifications needed to thrive in the Databricks Developer position, and why are they important?

To thrive as a Databricks Developer, you need strong skills in data engineering, Spark programming, SQL, and cloud platforms, typically with a background in computer science or a related field. Hands-on experience with Databricks, Apache Spark, Python/Scala, and knowledge of cloud services like AWS or Azure, as well as relevant certifications, are highly valued. Analytical thinking, problem-solving, effective communication, and the ability to collaborate across teams are essential soft skills for this role. These abilities are crucial to designing scalable data solutions, streamlining data pipelines, and supporting business analytics in modern data-driven organizations.

What are the typical daily responsibilities of a Databricks Developer?

As a Databricks Developer, your typical day involves designing, developing, and maintaining scalable data pipelines using Databricks and Apache Spark. You’ll collaborate with data engineers, data scientists, and business analysts to ensure data is clean, accessible, and reliable for analytics and reporting. Tasks often include code reviews, optimizing data workflows, troubleshooting performance issues, and implementing best practices for data security and governance. This role offers a dynamic work environment that blends technical challenge with teamwork across multiple departments.
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Databricks Developer jobs near you
Infographic showing various Databricks Developer job openings in California as of May 2026, with employment types broken down into 86% Full Time, 4% Part Time, and 10% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $126,226 per year, or $60.7 per hour.
Sr Databricks Engineer

Sr Databricks Engineer

SDH Systems

San Diego, CA

$110K - $152K/yr

Other

Posted 14 days ago

Job description

Job Title: Sr Databricks Engineer

Location: San Jose, CA (5 days on-site)

 Hybrid role: 4 days onsite per week in San Jose, CA

Job Overview

We are seeking an experienced Senior Data Engineer to join our team in the San Jose Bay Area. The ideal candidate will have strong expertise in the Databricks Lakehouse platform, building and managing scalable data pipelines, working with notebooks, and implementing robust data monitoring solutions. This is a hybrid role requiring onsite presence for four days a week, along with close collaboration with offshore teams.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines using Databricks (PySpark, Delta Lake, Workflows)
  • Work extensively with Databricks notebooks for data engineering, transformation, and analysis
  • Implement and manage data monitoring, logging, and alerting frameworks for data pipelines
  • Write optimized SQL queries for large-scale data processing and analytics on Databricks
  • Design and manage Databricks Workflows and/or Azure Data Factory (ADF)
  • Ensure data quality, reliability, and performance across lakehouse layers (Bronze, Silver, Gold)
  • Collaborate with cross-functional onsite and offshore teams to deliver end-to-end data solutions
  • Troubleshoot and resolve complex data pipeline, performance, and scalability issues

Required Qualifications

  • 8–10 years of experience in data engineering or related roles
  • Strong hands-on experience with Databricks Lakehouse platform (PySpark, Delta Lake, Jobs/Workflows)
  • Strong experience with Azure cloud services (ADLS, ADF, Key Vault, etc.)
  • Proven expertise in building and managing scalable data pipelines and ETL/ELT frameworks
  • Experience designing and managing using Databricks Workflows or ADF  
  • Strong proficiency in SQL and data modeling (star schema, snowflake schema, dimensional modeling)
  • Hands-on experience with notebook-based development environments (Databricks notebooks)
  • Experience in data monitoring, logging, troubleshooting, and performance tuning
  • Experience working in onsite/offshore delivery models
  • Strong communication, analytical thinking, and problem-solving skills

Preferred Qualifications

  • Strong experience in Data Modeling (dimensional modeling, star/snowflake schema design)
  • Strong understanding of Data Warehousing concepts and architectures
  • Hands-on experience with PySpark for large-scale distributed data processing
  • Experience working with Azure Databricks in enterprise environments
  • Experience with orchestration tools such as Apache Airflow, Azure Data Factory, or similar platforms
  • Familiarity with big data technologies and distributed computing systems
  • Prior experience in enterprise-scale data platform modernization projects

Work Arrangement

  • Hybrid role: 4 days onsite per week in San Jose, CA
  • Regular collaboration with offshore development and data engineering teams 
 

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