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Databricks Developer Jobs in Santa Clara, CA (NOW HIRING)

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 ...

Databricks

Sr. Manager, Engineering

Mountain View, CA · On-site

$228K - $314K/yr

P-1107 At Databricks, we are obsessed with enabling data teams to solve the world's toughest ... We are looking for a Senior Engineering Manager to lead foundational teams within Trust and Safety ...

Deloitte

Azure/Databricks Infrastructure Engineer

San Jose, CA · On-site

$65.25 - $87.25/hr

... DevOps or GitHub Actions * Supporting cloud modernization, analytics, AI, and enterprise data ... As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure ...

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Databricks Developer information

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How much do databricks developer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for databricks developer in Santa Clara, CA is $72.22, according to ZipRecruiter salary data. Most workers in this role earn between $64.95 and $79.90 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.

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 do you need to be a Databricks developer?

To become a Databricks developer, you typically need proficiency in Apache Spark, programming skills in languages like Python, Scala, or SQL, and experience with cloud platforms such as AWS or Azure. Knowledge of data engineering, ETL processes, and familiarity with Databricks' environment and tools are also important, along with relevant certifications or training.

What is a Databricks developer?

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 is the salary of a Databricks developer?

The salary of a Databricks developer typically ranges from $90,000 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.

Is a Databricks developer an in demand skill?

Yes, Databricks developers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. Skills in Apache Spark, SQL, and cloud environments like AWS or Azure enhance employability in this role, which is often required in data-driven industries.
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Databricks Developer jobs near you
Infographic showing various Databricks Developer job openings in Santa Clara, CA as of August 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 84% In-person, and 16% Hybrid job distribution, with an average salary of $150,212 per year, or $72.2 per hour.

Staff Software Engineer, Agentic Applications

Databricks

Mountain View, CA • On-site

$198K - $272K/yr

Full-time

Posted 25 days ago

Job description

P-1578
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 Staff Software Engineer, Marketing Agents on the Web Engineering team, you will own the architecture and delivery of agents that transform how Databricks creates, publishes, and ships for the web, shifting content operations from a linear, engineering-dependent process to an orchestrated, continuously improving system. You will define how LLM-powered agents participate reliably across marketing content workflows, set the engineering standards the team builds on, and ensure agent output is robust, observable, and production-ready at scale.
The impact you'll have:
  • Own the architecture and delivery of agentic workflows that enable marketing to self-serve content creation and publishing across blogs, landing pages, microsites, and social, working directly with marketing stakeholders to understand their workflows, define quality criteria, and build tools they trust and use
  • Partner with the Web Platform Staff Engineer on CMS architecture to ensure the content model supports agent read and write workflows and that agent-generated content is structured for AI-driven discovery at production scale
  • Build and own the agent reliability system for this domain: define output quality criteria per workflow, implement eval suites and behavioral regression testing, and build feedback loops that improve agent output over time based on what marketers approve, edit, and reject
  • Architect human in the loop review as a system property across the full publishing pipeline: proposal and commit separation, diff-based review UI, approval routing, notification system, and audit logging that govern when agents publish autonomously and when human judgment is required
  • Encode brand, legal, and compliance constraints as enforceable guardrails within agent workflows, ensuring agents operate within defined boundaries without requiring human intervention on every decision
  • Partner with the Web Products Staff Engineer to ensure agent-generated content meets surface quality and brand standards across databricks.com
  • Mentor and grow the Senior Engineer on the team, setting the standard for production-grade agentic engineering at Databricks
What we look for:
  • 12+ years of software engineering experience with a clear track record of technical ownership on production systems
  • Hands-on experience building and operating LLM-powered systems in production, and a strong instinct for designing quality and evaluation frameworks for probabilistic or generative outputs
  • Strong understanding of human in the loop system design: approval workflows, review interfaces, audit logging, and guardrail implementation
  • Deep understanding of how agents interact with content systems, publishing pipelines, and web infrastructure including CMS, deployment pipelines, and edge delivery
  • Ability to work directly with non-engineering stakeholders to translate workflow requirements into agent architecture
  • Experience mentoring engineers and elevating technical execution across a team

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
$198,200-$272,600 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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