senior data scientist Jobs in San Francisco

senior data scientist

software engineer, data platform product Jobs in San Francisco

software engineer, data platform product

senior data engineer

Plum Inc

<div>PLUM is a fintech company empowering financial institutions to grow their business through a cutting-edge suite of AI-driven software, purpose-built for lenders and their partners across the financial ecosystem. We are a boutique firm, where each person&rsquo;s contributions and ideas are critical to the growth of the company.
This is a fully remote position, open to candidates living in the U.S. with a reliable internet connection. While we gather in person a few times a year, this role is designed to remain remote long-term. You will have autonomy and flexibility in a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action. You'll collaborate with a high-performing team &mdash; including sales, marketers, and financial services experts &mdash; who stay connected through Slack, video calls, and regular team and company-wide meetings. We&rsquo;re a team that knows how to work hard, have fun, and make a meaningful impact&mdash;both together and individually.<h3 class="jobSectionHeader">
Job Summary</h3>
We are seeking a candidate with experience as, or applicable to, a Senior Data Engineer role with significant demonstrated experience using Python in a cloud environment to lead the design and implementation of scalable data pipelines that ingest and process data from a variety of external client systems. The Senior Data Engineer is critical in building the data infrastructure that powers Plum&rsquo;s next-generation AI-driven products.
You will work with a modern data stack including Python, Databricks, AWS, Delta Lake, and more. As a senior member of the team, you&rsquo;ll take ownership of architectural decisions, system design, and production readiness&mdash;working with team members to ensure data is reliable, accessible, and impactful.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul>
<li>Design and architect end-to-end data processing pipelines: ingestion, transformation, and delivery to the Delta Lakehouse.</li>
<li>Integrate with external systems (e.g., CRMs, file systems, APIs) to automate ingestion of diverse data sources.</li>
<li>Develop robust data workflows using Python and Databricks Workflows.</li>
<li>Implement modular, maintainable ETL processes following SDLC best practices and Git-based version control.</li>
<li>Contribute to the evolution of our Lakehouse architecture to support downstream analytics and machine learning use cases.</li>
<li>Monitor, troubleshoot, and optimize data workflows in production.</li>
Collaborate with cross-functional teams to translate data needs into scalable solutions. 
<li>
</li></ul>Requirements<ul>
<li>
Bachelor's Degree in Computer Science, Engineering, Physics, or a related technical field or equivalent work experience.</li>
<li>2+ years of experience using Python building and maintaining production-grade data pipelines in a cloud environment.</li>
<li>Proven expertise in Python and SQL for data engineering tasks.</li>
<li>Strong understanding of lakehouse architecture and data modeling concepts.</li>
<li>Experience working with Databricks, Delta Lake, and Apache Spark.</li>
<li>Hands-on experience with AWS cloud infrastructure.</li>
<li>Track record of integrating data from external systems, APIs, and databases.</li>
<li>Strong problem-solving skills and ability to lead through ambiguity.</li>
Excellent communication and documentation habits. 
<li>
</li></ul><h3 class="jobSectionHeader">Preferred Qualifications</h3><ul>
<li>Masters in Computer Science, Engineering, Physics or related field.
</li><li>Experience building data solutions in Fintech, Sales Tech, or Marketing Tech domains.</li>
<li>Familiarity with CRM platforms (e.g., Salesforce, HubSpot) and CRM data models.</li>
<li>Experience using ETL tools such as Fivetran or Airbyte.</li>
<li>Understanding of data governance, security, and compliance best practices.</li>
</ul>
Benefits<ul>
<li>
A fast-paced, collaborative startup culture with high visibility.</li>
<li>Autonomy, flexibility, and a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action.</li>
<li>Opportunity to make a meaningful impact in building a company and culture.</li>
<li>Equity in a financial technology startup.</li>
<li>Generous health, dental, and vision coverage for employees and family members + 401K.</li>
<li>Eleven paid holidays and unlimited discretionary vacation days.</li>
<li>Competitive compensation and bonus potential.</li>
</ul>
Interview Process:
Plum is an organization who counts on the contributions and ideas from every member of our team. Our interview process may include a phone screen, a video call and a live project. While we understand one may use AI to develop a resume, we expect you to bring your authentic self during our interviews, and we may disqualify candidates who use bots or AI to contribute to their answers. We are looking for not only skill, but also a desire to learn and thrive with Plum. Please advise us of any accommodations you may need prior to your call and we will do all we can to accomodate you.
<ul><li>We are not accepting outreach or resumes from external recruiters. We are only accepting qualified eligible applicants directly for consideration. Any candidates submitted from agencies or recruiters will be considered a gift.</li></ul></div>

Senior Data Engineer

Uber

<div>About the Role
 
 
The Mobility Simulation &amp; Planning (MSP) Platform team builds the systems that power pricing and incentive budget planning across Uber's global marketplace. As part of this team, you'll help design and scale the core platform that drives billions in marketplace spend decisions, directly influencing rider affordability and driver earnings. You'll collaborate with Product, Science, and Operations to solve complex technical challenges offering you a unique opportunity to grow as a software engineer while making a measurable business impact at global scale. 
- What You Will Do - 
<ul><li>
Partner with Engineering, Product, and Operations to define requirements, design data models, and deliver reliable production solutions.</li><li>
Design and build scalable, efficient data pipelines and frameworks to power large-scale decision systems and model infrastructure .</li><li>
Drive improvements in data quality, reliability, and observability, ensuring data systems scale with Uber's business needs.</li><li>
Lead initiatives to modernize data workflows from data orchestration (Airflow, Temporal) to distributed processing (Spark, Ray etc).</li><li>
Mentor engineers and contribute to establishing best practices for data design, governance, and performance.</li></ul> 
- Basic Qualifications - 
<ul><li>
Bachelor's degree (or equivalent) in Computer Science, Engineering, or a related field</li><li>
4+ years of experience in data engineering or backend development</li><li>
Strong SQL and data modeling skills</li><li>
Hands-on experience with distributed data frameworks (Spark, Flink, Ray, Beam etc)
</li><li>Proficiency in at least one programming language (Python, Go, or Java etc)</li><li>
Experience building scalable ETL pipelines and working with modern data infrastructure (Hive, Presto, BigQuery, Snowflake, etc.)</li></ul> 
- Preferred Qualifications - 
<ul><li>
6+ years of experience designing and operating large-scale data systems in production</li><li>
Deep understanding of data warehousing, system performance, and optimization</li><li>
Proven ability to drive complex projects, influence cross-functional teams, and mentor peers</li><li>
Self-driven and passionate about scalability, automation, and system efficiency</li><li>
Familiarity with workflow orchestration frameworks (eg:- Airflow, Temporal etc) is a plus</li></ul> 
 
 
 
For New York, NY-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.</div>

Decagon

<div>
 
 About Decagon
 
 
 
 Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.
 
 
 Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.
 
 
 We&rsquo;re an in-office company, driven by a shared commitment to excellence and velocity. Our values&mdash;
 
 customers are everything
 
 ,
 
 relentless momentum
 
 ,
 
 winner&rsquo;s mindset
 
 , and
 
 stronger together
 
 &mdash;shape how we work and grow as a team.
 
 
 
 About The Team
 
 
 
 The
 
 Infrastructure
 
 team builds and operates the foundations that power Decagon: networking, data, ML serving, developer platform, and real‑time voice. We partner closely with product, data, and ML to deliver high‑scale, low‑latency systems with clear SLOs and great developer ergonomics.
 
 
 
 We Organize Around Five Focus Areas
 
 
 
 <ul>
 <li>
 Core Infra: The foundational cloud stack&mdash;networking, compute, storage, security, and infrastructure‑as‑code&mdash;to ensure reliability, scale, and cost efficiency.
 </li>
 <li>
 Data Infra: Streaming/batch data platforms powering analytics/BI and customer‑facing telemetry, including for customer‑managed and on‑prem environments.
 </li>
 <li>
 ML Infra: GPU and model‑serving platforms for LLM inference with multi‑provider routing and support for on‑prem/air‑gapped deployments.
 </li>
 <li>
 Platform (DevEx): CI/CD, paved paths, and core services that make shipping fast, safe, and consistent across teams.
 </li>
 <li>
 Voice Infra: Telephony/WebRTC stack and observability enabling ultra‑low‑latency, high‑quality voice experiences.
 
 
 </li>
 </ul>
 Our mission is to
 
 deliver magical support experiences
 
 &mdash; AI agents working alongside humans to resolve issues quickly and accurately.
 
 
 
 About The Role
 
 
 
 We&rsquo;re hiring a Senior Infrastructure Engineer to design, build, and operate production infrastructure for high‑scale, low‑latency systems. You&rsquo;ll own critical services end‑to‑end, improve reliability and performance, and create paved‑paths that let every Decagon engineer ship confidently.
 
 
 
 In this role, you will
 
 
 
 <ul>
 <li>
 Design and implement critical infrastructure services with strong SLOs, clear runbooks, and actionable telemetry.
 </li>
 <li>
 Partner with research and product teams to architect solutions, set up prototypes, evaluate performance, and scale new features.
 </li>
 <li>
 Tune service latencies: optimize networking paths, apply smart caching/queuing, and tune CPU/memory/I/O for tight p95/p99s.
 </li>
 <li>
 Evolve CI/CD, golden paths, and self‑service tooling to improve developer velocity and safety.
 </li>
 <li>
 Support various deployment architectures for customers with robust observability and upgrade paths.
 </li>
 <li>
 Lead infrastructure‑as‑code (Terraform) and GitOps practices; reduce drift with reusable modules and policy‑as‑code.
 </li>
 <li>
 Participate in on‑call and drive down toil through automation and elimination of recurring issues.
 
 
 </li>
 </ul>
 
 Your background looks something like this
 
 
 
 <ul>
 <li>
 3+ years building and operating production infrastructure at scale.
 </li>
 <li>
 Depth in at least one area across Core/Data/AI‑ML/Platform/Voice, with curiosity to learn the rest.
 </li>
 <li>
 Proven track record meeting high availability and low latency targets (owning SLOs, p95/p99, and load testing).
 </li>
 <li>
 Excellent observability chops (OpenTelemetry, Prometheus/Grafana, Datadog) and incident response (PagerDuty, SLO/error budgets).
 </li>
 <li>
 Clear written communication and the ability to turn ambiguous requirements into simple, reliable designs.
 
 
 </li>
 </ul>
 
 Even better
 
 
 
 <ul>
 <li>
 Experience being an early backend/platform/infrastructure engineer at another company
 </li>
 <li>
 Strong Kubernetes experience (GKE/EKS/AKS) and experience across multiple cloud providers (GCP, AWS, and Azure)
 </li>
 <li>
 Experience with customer‑managed deployments
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Medical, dental, and vision
 </li>
 <li>
 Flexible time off
 </li>
 <li>
 Daily lunch/dinner &amp; snacks in the office
 </li>
 </ul>
</div>

Software Engineer, Infrastructure

Twenty80

About the Role We&rsquo;re looking for a highly skilled Senior Full Stack Engineer with 5+ years of experience spanning frontend and backend development. The ideal candidate has worked at both reputable tech companies (e.g., FAANG, Databricks, Snowflake) and startups, and thrives in an environment where ownership, adaptability, and iteration are key.If you&rsquo;re a generalist who enjoys tackling complex technical challenges, shaping architectural direction, and building systems that scale &mdash; this is a great opportunity to make a major impact at an early stage of growth.What You&rsquo;ll Do<ul><li>Design and build the core intelligence engine end-to-end &mdash; including data ingestion, model orchestration, feedback loops, APIs, and UI integration.</li><li>Own architecture decisions across stack boundaries (Python / Go / TypeScript) to enable scalable and evolvable systems.</li><li>Collaborate directly with the founders on roadmap prioritization, trade-offs, and technical vision.</li><li>Define what great engineering looks like in an AI-first organization.</li><li>Occasionally engage with customers to understand needs and translate them into technical solutions.</li></ul>Tech Stack TypeScript, Python, Go, Postgres, React, Distributed Systems, Data Pipelines, AI/MLWho You Are<ul><li>5&ndash;15 years of experience in software engineering, including a senior title at a reputable tech company.</li><li>Proven experience working across different parts of the stack &mdash; frontend, backend, and infrastructure.</li><li>Strong foundations in distributed systems, data, or AI/ML.</li><li>Comfortable working in a fast-paced, ambiguous environment and thinking like an owner.</li><li>Graduate of a top computer science program (MIT, Stanford, CMU, UC Berkeley, Caltech, Harvard, University of Washington, Georgia Tech, Cornell) &mdash; preferred but not required.</li></ul>Hybrid Work Policy This is a hybrid role based in San Francisco, California, with an expectation of 3 days per week in the office at 55 Hawthorne. We value in-person collaboration as we build our early team. However, we&rsquo;re open to considering fully remote options for exceptional talent. If the right candidate prefers remote work, this could shape a long-term cultural shift toward fully remote operations.Visa Sponsorship Visa sponsorship is available. Both founders are immigrants and have a strong understanding of the immigration process. The team is committed to ensuring that sponsored individuals are supported &mdash; including working with investors to facilitate transitions to O-1 visas or placements within other portfolio companies if needed.Compensation Salary: $160,000 &ndash; $220,000 USD Equity: Competitive equity packageJob Type: Full-timePay: $160,000.00 - $220,000.00 per yearApplication Question(s):<ul><li>Do you happen to have a GitHub or portfolio link you&rsquo;d be open to sharing? It&rsquo;ll help us get a sense of your recent work. If yes, kindly share the link below.</li><li>Just to confirm, have you previously worked in a high-growth start-up (Seed to Series B stage)?</li><li>This role prefers candidates Held a senior title at a reputable company (FAANG, Databricks, Snowflake).</li></ul>FAANG refers to Facebook, Amazon, Apple, Netflix, and Google &mdash; companies recognized for their strong engineering practices and technical rigor. Have you worked at, or received training from, any organization with a similar engineering culture?Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Full-stack software engineering: 5 years (Required)</li></ul>Work Location: In person

Founding Engineer (Hybrid – San Francisco, CA)

TechTree

<div>
 
 About The Company
 
 
 
 Delve automates compliance for hundreds of fast-growing startups &mdash; companies like Lovable, 11x, and Wispr Flow rely on Delve to eliminate busywork and ship securely. Backed by Insight Partners, General Catalyst, and Y Combinator, Delve recently raised a $32M Series A and is rapidly scaling its engineering team. Our founders and engineers come from OpenAI, Stanford, MIT, and Berkeley, united by the goal of automating tedious work at scale.
 
 
 
 About The Role
 
 
 
 Seeking a New Grad/Early Software Engineer to ship features, contribute to AI systems, and work across the stack with mentorship from senior engineers. Must relocate to SF and work in-person.
 
 
 We&rsquo;re looking for a New Grad/Early Software Engineer &mdash; someone technically sharp, hungry, and ready to learn fast. You&rsquo;ll ship production-grade features alongside senior engineers, contribute to AI-powered systems, and work across the stack (React, TypeScript, Node.js).
 
 
 Expect autonomy, live mentorship from ex-OpenAI engineers, and the chance to build impactful products from day one.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Ship features across the stack with mentorship from senior engineers
 </li>
 <li>
 Contribute to AI-driven product features in production
 </li>
 <li>
 Rapidly prototype ideas, test with users, and iterate fast
 </li>
 <li>
 Write clean, maintainable code and own small projects end-to-end
 </li>
 <li>
 Work in-person daily with a high-context, fast-moving team
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s in CS or related field from Stanford, MIT, Berkeley, Harvard, or Northeastern
 </li>
 <li>
 Strong coding skills in Python or TypeScript
 </li>
 <li>
 Evidence of independent projects, hackathon wins, or open-source contributions
 </li>
 <li>
 SF-based or willing to relocate (in-person, 5 days/week)
 </li>
 <li>
 Green-carpet GitHub candidates / &ldquo;cracked&rdquo; engineers
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 TypeScript
 </li>
 <li>
 React
 </li>
 <li>
 Node.js
 </li>
 <li>
 AI-driven product development
 </li>
 <li>
 Prototyping
 </li>
 <li>
 Clean code writing
 </li>
 <li>
 Project ownership
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 100% medical, dental &amp; vision coverage (for you; partial for dependents)
 </li>
 <li>
 401(k) with employer match
 </li>
 <li>
 Unlimited PTO + federal holidays
 </li>
 <li>
 GrubHub stipend + all meals covered in-office
 </li>
 <li>
 Gym membership covered
 </li>
 <li>
 Frequent team dinners, events, and off-sites
 </li>
 <li>
 The opportunity to eliminate busywork for humanity
 
 
 </li>
 </ul>
 
 Team members
 
 
 
 <ul>
 <li>
 founders and engineers from OpenAI, Stanford, MIT, and Berkeley
 
 
 </li>
 </ul>
 
 Salary:
 
 150000 - 250000 None
</div>

Early Software Engineer

Hive

About HiveHive is the leading provider of cloud-based AI solutions for content understanding, trusted by the world&rsquo;s largest, fastest growing, and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive&rsquo;s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more. Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain &amp; Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI! Senior Frontend Engineer Frontend Engineers are an essential part of the Hive Data and Hive Enterprise products. Working closely with designers, product owners, and other engineers, we implement the user interfaces that define our core platforms. We leverage the latest web technologies such as React, Redux, Webpack, and ES6 to deliver innovative interfaces and rich user experiences. The team is small and fast moving, and you will be expected to iterate quickly and make software design decisions on product features. As a front-end engineer at Hive, your breadth of skills paired with our bottom-up product process will give you as much autonomy and responsibility as you can handle. We are looking for technically-strong teammates who are passionate about frontend technologies and thrive in a fast-paced environment.Responsibilities<ul><li>Build robust, high performance, and scalable applications</li><li>Work with the design and product teams to develop new features that are focused on user experience</li><li>Actively participate in product decisions, ensuring we set reasonable development deadlines</li><li>Look for opportunities to improve team efficiency and work with your team to implement improvements</li><li>Utilize OWASP top 10 techniques to secure code from vulnerabilities</li><li>Maintain awareness of industry best practices for data maintenance handling as it relates to your role</li><li>Adhere to policies, guidelines and procedures pertaining to the protection of information assets</li><li>Report actual or suspected security and/or policy violations/breaches to an appropriate authority</li></ul>Requirements<ul><li>6+ years experience</li><li>Expertise in an object oriented programming language</li><li>You have in-depth knowledge of JavaScript, HTML, CSS, and related web technologies</li><li>You have a good grasp of React and Redux (or similar frameworks) and the concepts behind it</li><li>You are capable of creating beautiful web products and have good UX sensibilities</li><li>You are receptive to feedback and always looking for opportunities to sharpen your skills</li><li>You are a self-starter with excellent communication skills, able to work independently with little direction</li><li>You have excellent communication skills and experience in collaborative environments</li><li>You write understandable, testable code with an eye towards maintainability and scalability</li></ul>Who We AreWe are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.Thank you for your interest in Hive and we hope to meet you soon!Job Type: Full-timePay: $160,000.00 - $250,000.00 per yearWork Location: In person

Senior FE Engineer (SF)

Product Content Engineer

Explore 208+ Senior data engineer in San Francisco this November. Find roles across top companies and apply now to boost your career.

208 senior data engineer jobs IN San Francisco

Senior Data Engineer

Senior Data Engineer

Software Engineer, Infrastructure

Founding Engineer (Hybrid – San Francisco, CA)

Early Software Engineer

Senior FE Engineer (SF)

Product Content Engineer