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Databricks Developer Jobs in Fremont, CA (NOW HIRING)

Databricks

Sr. Engineering Manager

Mountain View, CA · On-site

$217K - $288K/yr

P-1257 At Databricks, we are passionate about helping data teams solve the world's toughest ... Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical ...

Databricks

Staff Database Engineer

Mountain View, CA · On-site

$192K - $260K/yr

P-1700 At Databricks, we are passionate about enabling data teams to solve the world's toughest ... Lakebase enables teams to deliver applications faster with an optimized database developer ...

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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 AI

Sr. Product Manager, Databricks AI

Databricks

San Francisco, CA • On-site

$149K - $196K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
Databricks is a leading company in data and AI, aiming to empower organizations to leverage the power of data and artificial intelligence. The Senior Product Manager will shape the future of enterprise AI by defining the vision, transforming AI advancements into practical products, and engaging with customers to uncover new use cases.
Responsibilities:
• Shape the future of enterprise AI: Define and drive the vision for how Databricks helps customers harness generative AI, agents, and new workloads that don’t exist yet
• Turn breakthroughs into products: Partner with world-class engineering and research teams to transform cutting-edge AI advancements into practical, trusted tools for millions of users.
• Expand what’s possible for customers: Engage directly with data and AI leaders to uncover new use cases — then design products that make the once-impossible accessible and repeatable.
• Be the voice of vision and execution: From concept to launch, you will inspire the roadmap, guide engineering, and tell the story of how Databricks AI is changing what customers can achieve.
• Build for scale and longevity: Define the strategy and principles that will guide Databricks AI for years, even as the industry evolves at unprecedented speed.
Qualifications:
Required:
• 5+ years of product management or equivalent experience, preferably with enterprise SaaS or developer platforms.
• Strong technical background in computer science, AI/ML, or related engineering fields (educational or professional).
• Proven ability to partner with senior engineers and research leaders, going deep on technical concepts while maintaining clarity on customer value.
• Track record of bringing products from vision to launch in fast-moving, competitive spaces.
• Strong analytical skills—comfortable working with SQL, product usage data, and operational dashboards.
• Excellent communication and storytelling skills to engage diverse stakeholders (customers, engineering, go-to-market).
Preferred:
• Bonus: exposure to building AI/ML or generative AI–powered 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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