Data Platform Engineer Jobs in San Francisco, CA
Data Platform Engineer jobs in San Francisco are concentrated in SoMa, the Financial District, and Mission Bay, where demand across cloud infrastructure, fintech, and enterprise SaaS remains strong. Employers hiring right now include Apple, OpenAI, and DoorDash. See the openings below and apply to the ones that match your experience.
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INTRODUCTION
Who We Are
Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE
Millions of people use Notion — and this number is increasing every day. That means millions of people trust us to deliver a fast, reliable, and secure experience, and we value this more than anything. We want to keep earning trust, while also continuing to amaze our users with the tools they can build in Notion. The Data Product Platform team is responsible for designing, implementing, scaling and operating systems, tools and frameworks to build event-based or data powered product experiences. You’ll join a team of talented engineers in our mission to build the best in class foundational platforms that are key to the company’s business and product. Notion’s platforms and infrastructure are vital to enabling our product features like search, automations, user notifications, workspace analytics and Notion AI.
WHAT YOU'LL ACHIEVE
- You'll own and play a pivotal role in the development of systems, tools and infrastructure that enable data and data systems powered product use-cases.
- You'll work cross-functionally with engineers and partners from the Product, Data Science, Data Engineering and AI teams to deliver short- and long-term impact.
- You’ll work on all levels of the stack including infrastructure, libraries and product code as needed to successfully build and deliver internal platforms that provide high leverage to multiple product teams
- You'll be responsible for monitoring and operating systems in production. You’ll understand systems deeply, optimize performance and evolve critical production systems with minimal user disruption.
SKILLS YOU'LL NEED TO BRING
- Curiosity in working across the stack: You enjoy understanding systems end-to-end—from product surfaces to infrastructure and data flows—and improving them with a hands-on, learn-by-doing mindset.
- Data-driven approach to building & improving systems: You use metrics, traces, logs, and experiments to diagnose issues, validate hypotheses, and prioritize the fixes that deliver the most impact.
- A knack for ergonomic developer & agentic tooling: You build interfaces that are intuitive and hard to misuse—thoughtful APIs, clear docs, and extensible patterns that help other engineers move faster.
- Pragmatic and business-oriented: You care about the business impact of what you're building, and you prioritize projects accordingly. You're not just going after cool stuff—you understand the balance between craft, speed, and the bottom line.
- Team player: You understand work is better, together. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same.
NICE TO HAVES
- You’ve had past experience working full-stack in Typescript and node.js ecosystem
- You have worked on data or infrastructure-focused engineering teams, particularly ones that own a wide swath of software platforms (hosted or built in-house). You've experienced the challenges of scaling and re-architecting event-based platforms and infrastructure through orders of magnitude of growth and scaling data volume.
COMPENSATION
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $196,000 - $261,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy.
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
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Find Data Platform Engineer JobsData Platform Engineer Job Market in San Francisco
Who's Hiring
- Apple5

- OpenAI5

- DoorDash5

- Whatnot4

- Salesforce4

Top Industries Hiring
- Technology & Software64
- Banking & Financial Services11
- Biotechnology & Pharmaceuticals8
- Science & Research7
- Retail6
Data Platform Engineer Jobs in San Francisco: Frequently Asked Questions
How do I get a data platform engineer job in San Francisco?
The strongest hiring in San Francisco comes from cloud-native SaaS companies in SoMa, fintech firms in the Financial District, and biotech employers anchored in Mission Bay. Candidates who move quickly in San Francisco's market stand out by demonstrating hands-on experience with distributed data systems, modern orchestration tools like Airflow or dbt, and cloud platforms such as GCP, AWS, or Azure. Tailoring your application to each employer's published stack gives you a clear edge.
Which companies hire data platform engineers in San Francisco?
Employers hiring data platform engineers in San Francisco right now include Apple, OpenAI, and DoorDash, based on current listings on Migrate Mate as of June 2026. San Francisco's hiring base skews toward high-growth SaaS companies, established fintech firms, and healthcare technology organizations, many of which maintain dedicated data engineering teams rather than treating the role as a shared function.
Are there remote data platform engineer jobs in San Francisco?
Yes, and data platform engineering is among the more remote-friendly technical disciplines because the work centers on code, pipelines, and cloud consoles rather than on-site infrastructure. About 38% of data platform engineer openings tied to San Francisco are remote or hybrid as of June 2026, with fully remote positions most common at cloud-native SaaS companies headquartered in SoMa and the broader Bay Area.
How can I get a data platform engineer job in San Francisco with little or no experience?
The most realistic entry path in San Francisco is moving from a data analyst or analytics engineer role into a junior data platform position at a mid-size SaaS or fintech company, many of which hire entry-level engineers and invest in on-the-job growth. Building a portfolio with public pipeline projects on GitHub, earning a cloud certification from AWS or GCP, and targeting companies in Mission Bay's biotech cluster or SoMa's startup corridor, where teams are smaller and scope is broader, increases your visibility significantly.
Which industries hire the most data platform engineers in San Francisco?
The sectors hiring the most data platform engineers in San Francisco are Technology & Software, Banking & Financial Services, and Biotechnology & Pharmaceuticals, based on current listings on Migrate Mate as of June 2026. San Francisco's concentration of cloud-first SaaS companies, venture-backed fintech startups, and Mission Bay biotech firms creates sustained demand for engineers who can build and maintain scalable data infrastructure at each stage of a company's growth.
Related Jobs in California
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