engineer 2

Highgate

<div>Compensation Type: Hourly Highgate Hotels:
<div>
Highgate is a leading real estate investment and hospitality management company with over $15 billion of assets under management and a global portfolio of more than 400 hotels spanning North America, Europe, the Caribbean, and Latin America.</div><div></div><div> 
With a 30-year track record as an innovator in the hospitality industry, this forward-thinking company provides expert guidance through all stages of the property cycle, from planning and development through recapitalization or disposition. Highgate continues to demonstrate success in developing a diverse portfolio of bespoke lifestyle hotel brands, legacy brands, and independent hotels and resorts, featuring contemporary programming and digital acumen. The company utilizes industry-leading revenue management tools that efficiently identify and predict evolving market dynamics to drive outperformance and maximize asset value.</div><div></div><div> 
With an executive team of seasoned hospitality leaders and corporate offices worldwide, Highgate is a trusted partner for top ownership groups and major hotel brands. www.highgate.com</div>
Location:<div></div><div> 
Located atop San Francisco&rsquo;s famed Nob Hill at the corner of California and Powell streets, Stanford Court hotel is steps from the city&rsquo;s best dining, shopping, entertainment and cultural attractions. The hotel features 393 well-appointed rooms and suites, offering comfortable accommodations for leisure and business travelers in a prime location. With a storied history dating back nearly 140 years, Stanford Court sits on the historic site of renowned &ldquo;Big 4&rdquo; railroad mogul, university founder, and U.S. senator Leland Stanford&rsquo;s elaborate private mansion. Leland Stanford was at the forefront of innovation in his era, and today&rsquo;s Stanford Court hotel pays homage to his legacy by representing the new frontier of innovation for the 21st century.</div>
Overview:
<div>
The Engineer, Level 2 is responsible for insuring that the property is maintained in the best possible condition at all times with the least amount of inconvenience to guests and employees.The ideal candidate MUST have HVAC, Refrigeration (with universal certification), Electrical, and High Rise Fire Safety knowledge and experience.</div>
Responsibilities:
<ul><li>Make repairs to hotel air conditioning system: change filters, clean coils, replace motors.</li><li>
Perform preventive maintenance on all equipment (i.e. boilers, chillers, HVAC-Heating Ventilation and Air Conditioning, electrical, etc.).</li><li>
Take required readings on equipment.</li><li>
Test cooling tower and record readings.</li><li>
Replace and program televisions as needed.</li><li>
Replace light switches, receptacles, light bulbs and fixtures.</li><li>
Perform furniture repair.</li><li>
Replace and repair pumps.</li><li>
Perform plumbing repairs (i.e. clogged drains, copper pipe, change washers, change handles, drain fittings, etc).</li><li>
Understand and be able to read blueprints and wiring diagrams.</li><li>
Trace and repair all types of water lines.</li><li>
Troubleshoot and repair kitchen equipment.</li><li>
Maintain repair and preventive maintenance records.</li><li>
Perform and maintain work to local, state and Federal codes.</li><li>
Test, clean and repair swimming pools and spas.</li><li>
Paint designated areas.</li><li>
Repair and finish sheet rock.</li><li>
Repair all types of wall coverings.</li><li>
Repair and program hotel electronic lock system.</li><li>
Assist in supervising other engineering staff members.</li><li>
Assist in scheduling preventive maintenance tasks.</li></ul>
Qualifications:
<ul><li>High School diploma or equivalent and/or one year of experience in a hotel or related field required.</li><li>
At least two years of progressive experience in a hotel or related field preferred.</li><li>
Trade school and/or College course work in related field preferred.</li><li>
Flexible and long hours sometimes required.</li><li>
Heavy work - Exerting in excess of 100 pounds of force occasionally, and/or in excess of 50 pounds of force frequently and/or in excess of 20 pounds constantly to lift, carry, push, pull, or otherwise move objects.</li><li>
objects.</li><li>
Maintain a warm and friendly demeanor at all times.</li><li>
Must be able to effectively communicate both verbally and written, with all level of employees and guests in an attentive, friendly, courteous and service oriented manner.</li><li>
Must be effective at listening to, understanding, and clarifying concerns raised by employees and guests.</li><li>
Must be able to multitask and prioritize departmental functions to meet deadlines.</li><li>
Approach all encounters with guests and employees in an attentive, friendly, courteous and service-oriented manner.</li><li>
Attend all hotel required meetings and trainings.</li><li>
Maintain regular attendance in compliance with Highgate Hotel Standards, as required by scheduling, which will vary according to the needs of the hotel.</li><li>
Maintain high standards of personal appearance and grooming, which includes wearing the proper uniform and nametag.</li><li>
Comply with Highgate Hotel Standards and regulations to encourage safe and efficient hotel operations.</li><li>
Maximize efforts towards productivity, identify problem areas and assist in implementing solutions.</li><li>
Must be effective in handling problems, including anticipating, preventing, identifying and solving problems as necessary.</li><li>
Must be able to understand and apply complex information, data, etc. from various sources to meet appropriate objectives.</li><li>
Must be able to cross-train in other hotel related areas.</li><li>
Must be able to maintain confidentiality of information.</li><li>
Must be able to show initiative, including anticipating guest or operational needs.</li><li>
Perform other duties as requested by management.</li></ul></div>

Engineer 2

Love Freedom Solution

<div>
 
 Full Stack Software Engineer (1&ndash;3 YOE) | AI Startup | Onsite &ndash; San Francisco
 
 
 About the Opportunity
 
 
 
 Lovefreedom Solution has the luxury to work with a
 
 high-growth, VC-backed startup
 
 building infrastructure for next-generation AI systems. This company works directly with leading AI labs and is scaling rapidly following strong early traction.
 
 
 They are hiring a
 
 Full Stack Software Engineer (1&ndash;3 years experience)
 
 to help build core product and infrastructure systems used at scale.
 
 
 This is a
 
 high-ownership, hands-on engineering role
 
 with direct exposure to cutting-edge AI workflows.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Build and ship full-stack applications end-to-end
 </li>
 <li>
 Develop frontend systems using Next.js / React
 </li>
 <li>
 Contribute to backend services using Node.js or Python
 </li>
 <li>
 Work with Kubernetes-based infrastructure
 </li>
 <li>
 Design scalable systems supporting high-volume user workflows
 </li>
 <li>
 Partner with internal teams and stakeholders in a client-facing capacity
 
 
 </li>
 </ul>
 
 Required Qualifications (Non-Negotiable)
 
 
 
 <ul>
 <li>
 1&ndash;3 years of experience as a Full Stack Engineer
 </li>
 <li>
 Experience at:
 </li>
 <ul>
 <li>
 High-growth VC-backed startup, OR
 </li>
 <li>
 Top trading firm, OR
 </li>
 <li>
 Founding engineer at startup that raised $2.5M+
 
 </li>
 </ul>
 </ul>
 
 Technical Requirements
 
 
 
 <ul>
 <li>
 Strong full-stack experience:
 </li>
 <ul>
 <li>
 Frontend: React, Next.js
 </li>
 <li>
 Backend: Node.js or Python
 </li>
 </ul>
 <li>
 Kubernetes (required)
 </li>
 <li>
 Experience with Kafka, Redis, or Elasticsearch is a plus
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Proven ability to build products end-to-end
 </li>
 <li>
 Strong sense of ownership and execution
 </li>
 <li>
 Comfortable in a fast-paced, startup environment
 </li>
 <li>
 Strong communication skills (client-facing exposure required)
 
 
 </li>
 </ul>
 
 Work Environment
 
 
 
 <ul>
 <li>
 Onsite: San Francisco (FiDi) &ndash; 5 days/week
 </li>
 <li>
 Flexible working hours
 </li>
 <li>
 High-performance, fast-moving team
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 <ul>
 <li>
 $180K &ndash; $250K base
 </li>
 <li>
 Competitive equity package
 
 
 </li>
 </ul>
 
 Right to Represent
 
 
 
 By applying, you agree to be represented by
 
 Lovefreedom Solution
 
 for this opportunity.
 
 
 Skills: kubernetes,node.js,stack,infrastructure,software,react,san,high-growth,ownership,python
</div>

Software Engineer

Handshake

<div>
 
 About Handshake
 
 
 
 Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.
 
 
 
 Why Join Handshake Now
 
 
 
 <ul>
 <li>
 Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel
 </li>
 <li>
 Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world&rsquo;s top educational institutions
 </li>
 <li>
 Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others
 </li>
 <li>
 Build a massive, fast-growing business with billions in revenue
 
 
 </li>
 </ul>
 
 About The Role
 
 
 
 As a Software Engineer, you will play a critical role in building the products and systems that power Handshake&rsquo;s core user experiences&mdash;from search and discovery to onboarding and beyond. You&rsquo;ll work across the full stack, shipping features that directly impact how millions of users find opportunities, connect with employers, and launch their careers.
 
 
 You&rsquo;ll collaborate closely with product managers, designers, and other engineers to deliver polished, end-to-end experiences in a fast-paced, mission-driven environment. Whether you&rsquo;re building AI-powered features, scaling backend systems, or crafting intuitive frontends, your work will have real, measurable impact on users at scale.
 
 
 
 Location: San Francisco, CA | 5 days/week in-office
 
 
 
 <ul>
 <li>
 Design and implement scalable full-stack systems powering core user journeys, including search, discovery, matching, and onboarding flows.
 </li>
 <li>
 Build and iterate on product features across frontend and backend surfaces, balancing speed with code quality and correctness.
 </li>
 <li>
 Ship backend APIs, asynchronous workflows, and frontend experiences that are reliable, scalable, and intuitive.
 </li>
 <li>
 Partner closely with product managers and designers to translate requirements into polished, end-to-end user experiences.
 </li>
 <li>
 Write high-quality, maintainable code while contributing to code reviews and engineering best practices.
 </li>
 <li>
 Debug and resolve issues related to system reliability, user flows, and performance.
 </li>
 <li>
 Contribute to architectural decisions and help establish patterns for scalable, secure deployments.
 </li>
 <li>
 Grow toward increased technical ownership by learning from senior engineers on the team.
 
 
 </li>
 </ul>
 
 Desired Capabilities
 
 
 
 <ul>
 <li>
 2+ years of professional software engineering experience building full-stack applications.
 </li>
 <li>
 Strong proficiency in TypeScript, with comfort working across frontend and backend.
 </li>
 <li>
 Experience with modern web stacks (e.g., React, Next.js, GraphQL, Ruby on Rails).
 </li>
 <li>
 Solid understanding of relational databases (e.g., PostgreSQL) and data modeling.
 </li>
 <li>
 Product-oriented mindset with a focus on user experience and business outcomes.
 </li>
 <li>
 Strong communication skills and comfort collaborating cross-functionally with product, design, and other engineering teams.
 </li>
 <li>
 Comfortable working in a fast-paced, dynamic environment with a focus on continuous learning and improvement.
 
 
 </li>
 </ul>
 
 Extra Credit
 
 
 
 <ul>
 <li>
 Experience with AI-powered products, chatbots, conversational interfaces, or agentic frameworks (e.g., OpenAI APIs).
 </li>
 <li>
 Familiarity with workflow orchestration tools such as Temporal or asynchronous job systems.
 </li>
 <li>
 Exposure to matching systems, marketplaces, or multi-step onboarding flows.
 </li>
 <li>
 Experience with cloud infrastructure (AWS, GCP) and deployment pipelines.
 </li>
 <li>
 Background at high-growth or scaling technology companies.
 </li>
 <li>
 Familiarity with component libraries, design systems, and building reusable interfaces for rapid deployment.
 
 
 </li>
 </ul>
 
 Perks
 
 
 
 Handshake delivers benefits that help you feel supported&mdash;and thrive at work and in life.
 
 
 
 
 The below benefits are for full-time US employees.
 
 
 
 
 🎯
 
 Ownership:
 
 Equity in a fast-growing company
 
 
 💰
 
 Financial Wellness
 
 : 401(k) match, competitive compensation, financial coaching
 
 
 🍼
 
 Family Support:
 
 Paid parental leave, fertility benefits, parental coaching
 
 
 💝
 
 Wellbeing:
 
 Medical, dental, and vision, mental health support, $500 wellness stipend
 
 
 📚
 
 Growth:
 
 $2,000 learning stipend, ongoing development
 
 
 💻
 
 Remote &amp; Office:
 
 Internet, commuting, and free lunch/gym in our SF office
 
 
 🏝
 
 Time Off:
 
 Flexible PTO, 15 holidays + 2 flex days
 
 
 🤝
 
 Connection:
 
 Team outings &amp; referral bonuses
 
 
 Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.
 
 
 Compensation Range: $145K - $170K
 
 
</div>

Plaid

<div>
 We believe that the way people interact with their finances will drastically improve in the next few years. We&rsquo;re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid&rsquo;s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.
 
 
 Plaid&rsquo;s mission is to unlock financial freedom for everyone by making money movement and access to financial data simple and secure. As a Software Engineer, you will design and build the systems that power how millions of people connect to their finances. You will work across the stack, from reliable backend services and APIs to intuitive applications that bring those systems to life. You will collaborate with engineers, product managers, and designers to ship products that make financial services more accessible and transparent. At Plaid, engineers take ownership early, grow quickly, and see their work reach millions of users.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 System Design &amp; Development: Build and maintain scalable, reliable backend or fullstack systems and APIs that power Plaid&rsquo;s products.
 </li>
 <li>
 Collaboration: Work closely with product managers, designers, and other engineers to define and deliver features that solve real customer problems.
 </li>
 <li>
 Code Quality: Write clean, efficient, and well-tested code. Participate in reviews to maintain high engineering standards.
 </li>
 <li>
 Testing &amp; Debugging: Build automated tests, monitor system performance, and troubleshoot issues in production environments.
 </li>
 <li>
 Continuous Improvement: Contribute to technical design discussions, share best practices, and help improve how we build at Plaid.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 1-4 years of software engineering experience (post-internship)
 </li>
 <li>
 Proven ability to ship reliable systems or features at scale
 </li>
 <li>
 Strong problem-solving skills. You turn ideas into practical, maintainable solutions.
 </li>
 <li>
 High ownership. You are excited to roll up your sleeves and figure things out that don&rsquo;t have precedent at Plaid.
 </li>
 <li>
 Collaborative mindset. You thrive in a fast-paced environment and enjoy working with others to deliver results.
 </li>
 <li>
 Growth oriented. You seek feedback, learn quickly, and take pride in improving your craft.
 
 
 </li>
 </ul>
 $176,400 - $243,600 a year
 
 
 The target base salary for this position ranges from $176,400/year to $243,600/year in Zone 1. The target base salary will vary based on the job's location.
 
 
 
 Our Geographic Zones Are As Follows
 
 
 
 Zone 1 - San Francisco / New York City / Seattle
 
 
 Zone 2 - Los Angeles / Washington DC / Austin / Boston / Sacramento / San Diego
 
 
 Zone 3 - Atlanta / Portland / Chicago / Philadelphia / Denver / Miami / Dallas / Raleigh
 
 
 Zone 4 - All other US cities
 
 
 The base salary range listed for this full-time position excludes commission (if applicable), equity and benefits. The pay range shown on each job posting is the minimum and maximum target for new-hire salaries. Actual pay may be higher or lower depending on factors like skills, experience, and relevant education or training.
 
 
 Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!
 
 
 Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at [email protected] .
 
 
 Please review our Candidate Privacy Notice here .
</div>

OpenAI

About the team
 
The Finance Data team is embedded within the CFO Org and is responsible for building internal data products that scale analytics across business teams and drive efficiencies in our daily operations. This team provides technical guidance on high-impact, scalable projects across Finance, and is the subject-matter expert in financial and transactional data that supports our Finance day-to-day operations.
 
About the Role
 
The Finance Data team is embedded within the OpenAI CFO Org (not under Engineering nor Product) and our team's mandate is ambitious yet simple:
 
1) The CFO Org has the data required to be Public Company Ready.
 
2) The CFO Org has all the data it needs to execute swiftly on our AI first roadmap.
 
3) Controllership is able to close the books without any manual spreadsheets in the shortest timeframe and with zero material risks.
 
As an Data Engineer on the Finance Data team, you will be setting the foundation to scale analytics across our business functions and impart best data practices for a rapidly growing organization. We aspire to build the Finance team of the future.
 
In addition, you will work collaboratively with key stakeholders in Finance and other business teams to understand their pain points and take the lead in proposing viable, future-proof solutions to resolve them. You will also autonomously lead your own projects that deliver business impact and help cultivate a mature data culture among Finance teams.
 
We are looking for a seasoned Data Engineer who has a proven track record of owning the entire data stack at high transaction volume companies, managing business critical ETL pipelines consumed by non-technical teams. In this role you will serve the Head of Supply Chain Systems and be responsible for leading our manufacturing, OTC data mart strategy. The goal is to enable end-to-end asset and inventory traceability for our supply chain infrastructure by end of year 2026. We actually need someone who excels in dynamic environments, adapts quickly to changing needs, and confidently navigates ambiguous or evolving requirements. If you're energized by solving technical problems without a playbook and comfortable wearing multiple hats, this role is for you! To clarify, you will not be responsible for training ML models and neither would we describe this role as ‘product analytics’.
 
You might thrive in this role if you: 
Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience(including data engineering).
 
Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.
 
Experience with distributed processing technologies and frameworks, such as Hadoop, Flink and distributed storage systems (e.g., HDFS, S3).
 
Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks.
 
Solid understanding of Spark and ability to write, debug and optimize Spark code.
 
This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees.
 
About OpenAI
 
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
For additional information, please see
 
OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement
 
.
 
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through
 
this form
 
. No response will be provided to inquiries unrelated to job posting compliance.
 
We are committed to providing reasonable accommodations to applicants with disabilities.
 
OpenAI Global Applicant Privacy Policy
 
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
Compensation
 
$293K – $325K + Offers Equity

Data Engineer, Finance

Twitch

<div>
 
 About Us
 
 
 
 Twitch is the world&rsquo;s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.
 
 
 We&rsquo;re about community, inside and out. You&rsquo;ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We&rsquo;re on a quest to empower live communities, so if this sounds good to you, see what we&rsquo;re up to on LinkedIn and X, and discover the projects we&rsquo;re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.
 
 
 
 About The Role
 
 
 
 As a data engineer in the Data Platform organization, you will be transforming Twitch&rsquo;s largest data sets into offerings that are usable by the entire company. You&rsquo;ll be working with other senior team members, as well as other data engineers, scientists, and stakeholders from all across the business. You will help define how our core business metrics are managed, as well as how other parts of the company define their individual metrics.
 
 
 
 You Will:
 
 
 
 
 <ul>
 <li>
 Work closely with data scientists and engineers from across the company to define and create robust data architectures and pipelines
 </li>
 <li>
 Develop and manage scalable data pipelines to extract, transform, and load data from various sources
 </li>
 <li>
 Partner with a range of stakeholders to translate the company&rsquo;s needs into data offerings
 </li>
 <li>
 Automate data processing and reporting workflows to improve efficiency and data integrity
 </li>
 <li>
 Implement data quality checks and monitor processes to maintain high data accuracy
 </li>
 <li>
 Simplify and enhance the accessibility, clarity, and usability of large and complex datasets through the development of data cubes and data sharing solutions
 
 
 
 </li>
 </ul>
 
 You Have:
 
 
 
 
 <ul>
 <li>
 3+ year of experience working in a data engineering, data science, or software engineering capacity
 </li>
 <li>
 Expertise in writing and maintaining robust data pipelines in SQL and Python
 </li>
 <li>
 A track record of turning data requirements from stakeholders into actionable plans
 </li>
 <li>
 Experience with cloud-native solutions
 </li>
 <li>
 A history of implementing and upholding best practices in data pipelines, ensuring accuracy, consistency, and reliability
 
 
 
 </li>
 </ul>
 
 Bonus Points
 
 
 
 
 <ul>
 <li>
 Bachelor's degree, or Master's degree in computer science, statistics, information systems, or a related, technical field
 </li>
 <li>
 Experience with a scripting language (e.g., Python, Java, or R)
 </li>
 <li>
 Familiarity and interest in Twitch!
 
 
 
 </li>
 </ul>
 
 Perks
 
 
 
 
 <ul>
 <li>
 Medical, Dental, Vision &amp; Disability Insurance
 </li>
 <li>
 401(k)
 </li>
 <li>
 Maternity &amp; Parental Leave
 </li>
 <li>
 Flexible PTO
 </li>
 <li>
 Amazon Employee Discount
 
 
 
 </li>
 </ul>
 
 Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
 
 
 
 Job ID: TW9042
 
 
 The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
 
 
 US, CA, San Francisco
 
 
 $152,000&mdash;$205,600 USD
 
 
 
 Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
 
 
 
 
 Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.
 
</div>

Data Engineer

HappyRobot

<div>
 
 About HappyRobot
 
 
 
 HappyRobot is the infrastructure for enterprises to build and orchestrate AI workforces. Our AI workers don't just communicate - they make decisions, take action, and run operations autonomously across voice, email, and enterprise systems. Born in Y Combinator (S23) and backed by a16z and Base10 with over $60M raised, we power critical operations for global enterprises worldwide.
 
 
 Our platform is battle-tested in the most demanding environments - where AI has real consequences. We started in logistics, built our own voice stack, models, and orchestration layer from the ground up, and are now bringing that infrastructure to every enterprise that runs the real economy. Learn more about our vision in our manifesto.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company.
 </li>
 <li>
 Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company.
 </li>
 <li>
 Build and maintain robust data pipelines and models to ensure data quality.
 </li>
 <li>
 Partner with Product, Engineering, and Design teams to inform decisions.
 </li>
 <li>
 Translate complex data into clear, actionable insights for product teams.
 </li>
 <li>
 Love working with data. Love making product better. Love finding the story behind the numbers.
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Define, build, and maintain product metrics, dashboards, and pipelines.
 </li>
 <li>
 Write SQL and Python code to extract, transform, and analyze data.
 </li>
 <li>
 Design and run experiments (A/B tests) to support product development.
 </li>
 <li>
 Proactively explore data to identify product opportunities and insights.
 </li>
 <li>
 Collaborate with cross-functional teams to ensure data-driven decisions.
 </li>
 <li>
 Ensure data quality, reliability, and documentation across analytics efforts.
 
 
 </li>
 </ul>
 
 Must Have
 
 
 
 <ul>
 <li>
 3+ years of experience as an Analytics Data Engineer or similar Data Science &amp; Analytics roles.
 </li>
 <li>
 Strong SQL and data engineering skills to transform data into accurate, clean data models (e.g., dbt, Airflow, data warehouses).
 </li>
 <li>
 Proficiency in Python for data analysis and modeling.
 </li>
 <li>
 Excellent communication skills: able to explain complex data insights clearly.
 </li>
 <li>
 Curious, collaborative, and driven to make an impact in a fast-paced environment.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience in B2B SaaS or AI/ML products.
 </li>
 <li>
 Familiarity with product analytics tools (e.g., Mixpanel, Amplitude).
 </li>
 <li>
 Exposure to machine learning concepts or AI-powered systems.
 
 
 </li>
 </ul>
 
 Why join us?
 
 
 
 <ul>
 <li>
 Opportunity to work at a high-growth AI startup, backed by top investors.
 </li>
 <li>
 Rapidly growing and backed by top investors including a16z, Y Combinator, and Base10.
 </li>
 <li>
 Ownership &amp; Autonomy - Take full ownership of projects and ship fast.
 </li>
 <li>
 Top-Tier Compensation - Competitive salary + equity in a high-growth startup.
 </li>
 <li>
 Comprehensive Benefits - Healthcare, dental, vision coverage.
 </li>
 <li>
 Work With the Best - Join a world-class team of engineers and builders.
 
 
 </li>
 </ul>
 
 Our Operating Principles
 
 
 
 
 
 Extreme Ownership
 
 
 
 
 We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting &mdash; if something needs fixing, we own it and make it better. This means stepping up, even when it&rsquo;s not &ldquo;your job.&rdquo; If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don&rsquo;t wait for someone else to solve it &mdash; we lead with accountability and expect the same from those around us.
 
 
 
 
 Craftsmanship
 
 
 
 
 Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for &ldquo;just fine.&rdquo; We sweat the details because details compound. Whether it&rsquo;s a product feature, an internal doc, or a sales call &mdash; we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build &mdash; even when nobody&rsquo;s watching.
 
 
 
 
 We are &ldquo;majos&rdquo;
 
 
 
 
 Be friendly &amp; have fun with your coworkers. Always be genuine &amp; honest, but kind. &ldquo;Majo&rdquo; is our way of saying: be a good human. Be approachable, helpful, and warm. We&rsquo;re building something ambitious, and it&rsquo;s easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego.
 
 
 
 
 Urgency with Focus
 
 
 
 
 Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We&rsquo;re running a high-speed marathon &mdash; not a sprint with no strategy.
 
 
 
 
 Talent Density and Meritocracy
 
 
 
 
 Hire only people who can raise the average; &lsquo;exceptional performance is the passing grade.&rsquo; Ability trumps seniority. We believe the best teams are built on talent density &mdash; every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players &mdash; that&rsquo;s how we win.
 
 
 
 
 First-Principles Thinking
 
 
 
 
 Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don&rsquo;t copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It&rsquo;s how we build what others think is impossible.
 
 
 
 The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller.
 
 
 
 
 By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer.
 
 
 
 
 In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data.
 
 
 
 
 If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through security@happyrobot.ai subject to the GDPR.
 
 
 
 
 For more information, visit
 
 
 https://www.happyrobot.ai/privacy-policy
 
 
 
 
 By submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.
 
</div>

Explore 96+ Engineer 2 in San Francisco this April. Find roles across top companies and apply now to boost your career.

96 engineer 2 jobs In San Francisco

Engineer 2

Software Engineer

Software Engineer

Software Engineer

Data Engineer, Finance

Data Engineer

Data Engineer