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Databricks Engineer 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 ...

Deloitte

Sr Databricks Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

Deloitte

Sr Databricks Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

Deloitte

Sr Databricks Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

Deloitte

Sr Databricks Data Engineer

San Diego, CA · On-site

$121K - $146K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

Deloitte

Sr Databricks Data Engineer

Sacramento, CA · On-site

$122K - $146K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

Deloitte

Sr Databricks Data Engineer

Costa Mesa, CA · On-site

$122K - $147K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in California

Databricks Engineer information

See California salary details

$58.7K

$110.2K

$200.3K

How much do databricks engineer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for databricks engineer in California is $110,170.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,400.00 and $130,800.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior Databricks Engineers with extensive experience, specialized skills in big data, cloud platforms, and advanced analytics can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or with significant bonuses and stock options. Such compensation typically requires a combination of technical expertise, leadership roles, and years of industry experience.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong job market for qualified candidates.

What are some common challenges faced by Databricks Engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data engineering may earn higher compensation. Salaries can also vary based on industry demand and certifications held.

Is Databricks a high paying job?

A Databricks Engineer typically earns a high salary due to the specialized skills required in cloud computing, big data processing, and Spark platform expertise. Compensation varies based on experience, location, and certifications, but it is generally above average for data engineering roles.

What is a Databricks Engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

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

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.
What are popular job titles related to Databricks Engineer jobs in California? For Databricks Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in California look for? The top searched job categories for Databricks Engineer jobs in California are:
What cities in California are hiring for Databricks Engineer jobs? Cities in California with the most Databricks Engineer job openings:
Databricks Engineer jobs near you
Lead Databricks Engineer

Lead Databricks Engineer

SDH Systems

San Jose, CA • On-site

$120K - $158K/yr

Other

Posted 14 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.

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