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Databricks Developer Jobs in California (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 ...

Tror AI for everyone

Databricks Architect

Los Angeles, CA · On-site

$69.75 - $91.50/hr

Engineering & Implementation * Build robust ETL/ELT pipelines with Databricks notebooks, jobs, and workflows. * Design and implement high-performance streaming solutions using Structured Streaming.

NeoTech Solutions

Databricks Architect

Los Angeles, CA · On-site

$69.75 - $91.50/hr

The ideal candidate will have strong expertise in Databricks, Spark, Delta Lake, cloud platforms (Azure/AWS/Google Cloud Platform), and modern data engineering practices. This role involves ...

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How much do databricks developer jobs pay per hour?

As of Jul 20, 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 job?

A Databricks Developer typically earns a competitive salary due to the specialized skills required in big data processing, cloud computing, and Spark platform expertise. Salaries vary based on experience, location, and certifications, but generally align with other data engineering and cloud development roles in the industry.

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 analytics and machine learning. Proficiency in Spark, SQL, and cloud environments enhances job prospects for Databricks developers.

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 jobs in the US pay 300,000 a year?

For a Databricks Developer, earning $300,000 annually typically requires extensive experience, advanced skills in big data processing, and often senior or lead roles in data engineering or analytics. High-paying positions may also involve leadership responsibilities, specialized certifications, or working in industries like finance or technology with complex data environments.

Is Databricks need coding?

Databricks developers typically need coding skills in languages such as Python, Scala, or SQL to build and optimize data pipelines, perform data analysis, and develop machine learning models within the platform. Proficiency in these programming languages is essential for most roles involving Databricks. Familiarity with Spark and cloud environments is also beneficial.
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Databricks Developer jobs near you
Sr. Product Manager, Databricks Free Edition

Sr. Product Manager, Databricks Free Edition

Databricks

San Francisco, CA

$149K - $196K/yr

Other

Re-posted 21 days ago

Job description

RDQ126R51

Mission

At Databricks, we're on a mission to help data teams solve the world's toughest problems. The Databricks Free Edition makes it easy for students, enthusiasts, and aspiring professionals to explore data and AI hands-on, gaining the skills and confidence to build the future.

We're looking for a Senior Product Manager to join the team driving Databricks Free Edition. You'll collaborate closely with a cross-functional team of product managers, engineers, and designers to create experiences that make learning data and AI engaging, accessible, and impactful.

The Impact You Will Have
  • Help shape and advance the vision, strategy, and roadmap for Databricks Free Edition, contributing to experiences that make learning data and AI engaging and accessible.
  • Collaborate with design, engineering, and education teams to deliver intuitive, hands-on learning journeys within Databricks.
  • Work with academic and learning program partners to support data and AI education through Databricks.
  • Coordinate with other product teams to ensure new features are thoughtfully introduced into Free Edition with the right user experience and guardrails.
  • Engage directly with learners and users to understand their goals, identify friction points, and translate insights into impactful product improvements.
  • Define and track success metrics that measure learning engagement and user outcomes.
What We Look For
  • 5+ years of product management experience, preferably in data, AI, or developer-focused platforms.
  • Strong customer empathy and passion for creating learning and onboarding experiences that empower users.
  • Proven ability to drive cross-functional collaboration across engineering, design, and go-to-market teams.
  • Excellent communication and storytelling skills, able to articulate vision, motivate teams, and simplify complex concepts.
  • Technical proficiency to collaborate effectively with engineering on data and platform capabilities.

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