ZipRecruiter

Log In

1

Databricks Developer Jobs in California (NOW HIRING)

SDH Systems

Lead Databricks Engineer

San Jose, CA · On-site

$120K - $158K/yr

Lead Data Engineer Location- San Jose, CA- Onsite Contract role Requirements We are seeking a Lead Data Engineer with expertise in Databricks and Data Warehousing to drive data architecture, pipeline ...

next page

Showing results 1-20

All JobsDatabricks Developer JobsDatabricks Developer Jobs in California

Databricks Developer information

See California salary details

$20

$60

$78

How much do databricks developer jobs pay per hour?

As of Jun 28, 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 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.

Is Databricks a high paying company?

As a Databricks Developer, salary levels are generally competitive within the tech industry, often reflecting expertise in cloud platforms, big data tools, and programming skills. Compensation can vary based on experience, location, and certifications, but many roles in this field offer above-average salaries for data and cloud professionals.

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.

Is Databricks an in demand skill?

Databricks skills are highly in demand for data engineering and data science roles, as many organizations adopt the platform for big data processing and analytics. Proficiency in Spark, SQL, and cloud environments enhances job prospects for Databricks developers, with many companies seeking professionals with certification and experience in the platform.

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.

Is it hard to get hired at Databricks?

Getting hired as a Databricks Developer can be competitive, requiring strong skills in Apache Spark, cloud platforms, and programming languages like Python or Scala. Candidates often need relevant experience, certifications, and a solid understanding of data engineering and analytics tools to improve their chances.

Is Databricks need coding?

As a Databricks Developer, coding skills are essential because the role involves writing and optimizing code in languages such as Python, Scala, or SQL to develop data pipelines and analytics solutions within the Databricks platform. Familiarity with Spark and data engineering concepts is also important for effective performance.
What are the most commonly searched types of Databricks Developer jobs in California? The most popular types of Databricks Developer jobs in California are:
What are popular job titles related to Databricks Developer jobs in California? For Databricks Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Databricks Developer jobs in California look for? The top searched job categories for Databricks Developer jobs in California are:
What cities in California are hiring for Databricks Developer jobs? Cities in California with the most Databricks Developer job openings:
Databricks Developer jobs near you
Infographic showing various Databricks Developer job openings in California as of June 2026, with employment types broken down into 90% Full Time, 4% Part Time, 2% Temporary, and 4% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $126,226 per year, or $60.7 per hour.
Lead Databricks Engineer

Lead Databricks Engineer

SDH Systems

San Jose, CA • On-site

$120K - $158K/yr

Other

Posted 4 days ago

Job description

Lead Data Engineer

Location- San Jose, CA- Onsite  

Contract role  

 Requirements

 We are seeking a Lead Data Engineer with expertise in Databricks and Data Warehousing to drive data architecture, pipeline development, and optimization efforts. The ideal candidate will play a key role in designing scalable solutions, implementing best practices, and leading data initiatives within a dynamic and collaborative environment.

Key Responsibilities:

  • Design, build, and optimize scalable data pipelines using Databricks, Apache Spark, and Azure technologies.
  • Architect data warehousing solutions, ensuring seamless integration with cloud platforms and structured/unstructured data sources.
  • Collaborate with business stakeholders to understand data needs and develop high-performance analytical solutions.
  • Implement ETL/ELT processes leveraging cloud-based technologies such as Azure Data Factory, Snowflake, and Delta Lake.
  • Ensure data quality, governance, and security compliance while managing large datasets efficiently.
  • Drive performance tuning and optimization for data pipelines, ensuring efficiency across systems.
  • Work closely with cross-functional teams to support machine learning and advanced analytics initiatives.
  • Provide technical leadership and mentorship to junior data engineers, fostering a culture of innovation and continuous improvement.
  • Stay updated on emerging data technologies and recommend strategies to enhance existing architectures.

Qualifications:

  • 8+ years of experience in data engineering, big data processing, and cloud-based solutions.
  • Strong expertise in Databricks, Spark (PySpark/SQL), and Delta Lake architecture.
  • Proven experience in designing and managing data warehouses using Snowflake, Azure Synapse, or equivalent technologies.
  • Deep understanding of data modeling, SQL, and performance optimization.
  • Hands-on experience with Azure Data Factory, Event Hubs, and cloud-based ETL processes.
  • Solid knowledge of real-time streaming technologies (Kafka, Azure Stream Analytics, or similar).
  • Familiarity with ML/AI data pipelines and feature engineering best practices.
  • Strong communication and collaboration skills, with experience working in fast-paced, enterprise environments.

Apply