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Databricks Engineer Jobs in California (NOW HIRING)

Mondo

Senior Databricks Data Engineer

Marina Del Rey, CA · On-site

$200K - $225K/yr

Senior Databricks Data Engineer Location-Type: Onsite, Santa Monica, CA (office relocation to Century City anticipated within approximately one year) Start Date: ASAP Duration: Permanent Compensation ...

Databricks

Sr Software Engineer- CXI

Mountain View, CA · On-site

$164K - $225K/yr

P-1640 At Databricks, we're passionate about enabling data teams to solve the world's toughest ... Founded by engineers and driven by customer obsession, Databricks takes pride in tackling hard ...

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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 Aug 7, 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 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 architecture can earn higher compensation, often exceeding $160,000 per year.

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?

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.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments, and their roles are often available across various industries seeking data-driven solutions.
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
Infographic showing various Databricks Engineer job openings in California as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $110,170 per year, or $53 per hour.

Software Engineer, Web Products

Databricks

Mountain View, CA • On-site

$136K - $204K/yr

Full-time

Re-posted 14 days ago

Job description

Software Engineer, Web Products
P-1581
Location: Mountain View, CA
About Us:
The Web Engineering team at Databricks builds and owns the public-facing web experiences that represent Databricks to the world, across databricks.com, the blog, landing pages, hubs, microsites, and event properties. We are rebuilding the platform from the ground up, AI native from the start, and pioneering an agentic SDLC as our operating model.
The Role:
As Software Engineer on the Web Engineering team, you will build and ship production-quality web experiences across public-facing Databricks properties on an AI native platform designed for humans and agents from the ground up. You will contribute to a web delivery practice where AI native tools and an AI native engineering lifecycle are embedded in how the team builds every day.
The impact you'll have:
  • Build and ship web experiences across databricks.com including landing pages, blogs, hubs, and event properties on a unified, AI native architectural foundation
  • Implement components and page systems using a shared design system, contributing to a consolidated stack that reduces per-surface maintenance overhead
  • Operate in an AI native SDLC where agents assist across code generation, testing, and deployment, building faster and more reliably alongside them
  • Contribute to ensuring databricks.com surfaces are structured and optimized for how the web is discovered and consumed today, including by AI driven search and discovery systems
  • Participate actively in code review and help establish what rigorous, AI native engineering execution looks like on this team
What we look for:
  • 4+ years of software engineering experience with a track record of shipping production web systems
  • Strong fundamentals across the web stack including component architecture, rendering strategies, build systems, and deployment pipelines
  • Experience building on or integrating with content management systems like Drupal, Contentful
  • Comfort adopting AI native development tools and embedding them into daily engineering practice
  • Ability to take a well-scoped problem and drive it to completion under senior direction
  • Familiarity with headless CMS architectures, edge delivery, or modern frontend frameworks is a strong plus

Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Zone 1 Pay Range
$136,300-$187,450 USD
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Local Pay Range
$136,300-$204,500 USD
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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