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Databricks Developer Jobs in Fremont, CA (NOW HIRING)

E-Solutions

Sr. ETL Databricks Developer

San Mateo, CA · On-site

$58 - $76/hr

Job Title:: Sr. ETL Databricks Developer Onsite: Foster city,CA(Onsite) High level requirement: * Senior ETL Databricks Developer with strong experience in designing and optimizing data pipelines ...

Deloitte

Sr Databricks Data Engineer

San Jose, CA

$134K - $161K/yr

Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline ... As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and ...

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Databricks Developer information

See Fremont, CA salary details

$22

$67

$87

How much do databricks developer jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for databricks developer in Fremont, CA is $67.31, according to ZipRecruiter salary data. Most workers in this role earn between $60.53 and $74.47 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.
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Databricks Developer jobs near you
Infographic showing various Databricks Developer job openings in Fremont, CA as of June 2026, with employment types broken down into 86% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $140,009 per year, or $67.3 per hour.
Sr. Product Manager, Databricks Repos

Sr. Product Manager, Databricks Repos

Databricks

San Francisco, CA • On-site

$149K - $196K/yr

Full-time

Posted 24 days ago

Job description

Job Summary:
Databricks is a data and AI company passionate about enabling data teams to solve complex problems. The Sr. Product Manager for Databricks Repos will drive the vision and roadmap for the platform, focusing on improving the developer experience and integrating with various Git providers.
Responsibilities:
• You will design the end to end path to production experience for data and AI teams, from authoring to Git integration to CI and CD.
• You will define how Repos integrates with GitHub, GitLab, and Azure DevOps to support branching, pull requests, reviews, conflict resolution, and deployment workflows.
• You will partner with engineers to build AI assisted code management features such as automated code suggestions, recommended diffs, merge help, and deployment validation.
• You will represent the voice of the customer and translate user feedback into workflow improvements that simplify source control and release management.
• You will improve developer productivity and reliability by aligning Repos with Databricks Workflows, Lakeflow, and deployment surfaces.
• You will help grow adoption of Databricks developer tools by working closely with solutions architects, customer success teams, and enterprise platform owners.
• You will grow end-user engagement with Databricks developer tools working closely with sales and customer success teams.
Qualifications:
Required:
• 5+ years of experience as a Product Manager working on platform products
• Experience building developer-facing products (tools, frameworks, SDKs) with tens or hundreds of thousands of users
• Experience being a hands-on builder, must be comfortable using our own developer-facing products.
• Passion for designing products that simplify user experience of technically complex products.
Company:
Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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