Airbnb

<div>Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.</div>Airbnb's Data Infrastructure organization builds the systems that store, move, and transform data across the company. Our Data Movement &amp; Transformation (DMT) group is building a single, unified platform for moving data between Airbnb's storage systems, replacing dozens of one-off tools with one reliable, well-supported way to get data where it needs to go. This platform is the foundation for Data as a Service, a top-level infrastructure initiative at Airbnb.
The Community You Will Join:
The Ingestion team is the front door to DMT. We build and operate two managed, multi-tenant platforms that move data out of Airbnb's online databases for offline processing:
<ul>
<li>SpinalTap: near real-time change data capture (CDC) streaming to Kafka for every Aurora and UDS table at Airbnb.</li>
<li>DBExports: periodic full-table snapshots and mutation exports.</li>
</ul>
Teams across Airbnb depend on these systems, including payments, fraud detection, financial reporting, search, messaging, notifications, and machine learning. Reliability, performance, and scale are the product. You'll work closely with DMT's other teams, which own real-time streaming infrastructure, pipeline orchestration, and schema management, and you'll have the chance to work across the broader platform
The Difference You Will Make:
<ul>
<li>Be hands-on (code, design, test) and work with partner teams, internal customers, and leadership to deliver multi-month projects on time.</li>
<li>Design, build, and operate large-scale CDC and batch export systems that run across every online database at Airbnb.</li>
<li>Help shape the architecture of DMT's unified data movement platform while it's being built.</li>
<li>Improve the reliability, performance, and efficiency of systems that critical business functions depend on.</li>
<li>Make it easier for engineers at Airbnb to get their data into offline systems without needing to be database or pipeline experts.</li>
<li>Take part in on-call and raise the operational bar for a platform that other teams build on.</li>
</ul>
Your Expertise:
<ul>
<li>5+ years of experience building and operating large-scale backend distributed systems, such as data ingestion, streaming, CDC, storage, or data platforms.</li>
<li>Hands-on experience with streaming systems like Kafka, and with how databases capture and publish changes (binlogs, Debezium, or similar).</li>
<li>Ability to own and go deep in a complex codebase.</li>
<li>Experience maintaining, analyzing, and debugging production systems at scale.</li>
<li>Clean, readable, testable, and maintainable code.</li>
<li>Strong collaboration and communication skills in a remote-working environment.</li>
<li>Strong ownership and a track record of delivering on time.</li>
</ul>
Nice to Have:
<ul>
<li>Experience building managed or multi-tenant platforms used by other engineering teams.</li>
<li>Familiarity with MySQL/Aurora, schema evolution, or large-scale batch data processing.</li>
</ul>
Our Commitment To Inclusion &amp; Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: <a href="mailto:reasonableaccommodations@airbnb.com">reasonableaccommodations@airbnb.com</a>. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. 
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
Equal Employment Opportunity:
Airbnb values diversity &amp; belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Airbnb are considered without regard to race, color, religion, national origin, age, gender, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, gender expression, sexual orientation, or any other legally protected characteristic.<div><div><div>How We'll Take Care of You:
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.  </div><div>Pay Range</div><div>$196,000—$230,000 USD</div></div></div><div> 
Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.
A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @<a href="http://airbnb.com" rel="noopener noreferrer ugc" target="_blank">airbnb.com</a> or @<a href="http://ext.airbnb.com" rel="noopener noreferrer ugc" target="_blank">ext.airbnb.com</a> email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing.  We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.
 </div>

Senior Software Engineer, Streaming Infrastructure

<div>Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.</div>The Community You Will Join: 
People Analytics &amp; Research is a strong team of Data Scientists, Data Engineers, and Analysts. Our work is highly sought-after, and impacts stakeholders in our People function, and across the business. In this role, you'll take on some of the hardest questions about Airbnb's workforce - how we recruit, pay, develop, and retain our people - partnering with leaders across Recruiting, Compensation, Talent, and the wider business to turn rigorous analysis into decisions they act on.
The Difference You Will Make:
The People Analytics &amp; Research team is looking for an experienced Data Scientist to lead and/or contribute to our most important research - applying causal inference and quasi-experimental methods to high-stakes people questions: how we recruit, hire, promote, and retain a best-in-class workforce; how we keep key company processes fair; and how work itself is changing. Employee listening and survey analysis are part of the mix, but the heart of the role is rigorous inferential research on observational people data. The role is highly cross-functional, and you will partner with Recruiting, Talent Leaders, Compensation, Legal, and Diversity &amp; Belonging. We need a Data Scientist with a proven track record of translating data into insight and action.
 
If you have a proven background in this field and are excited to help build Airbnb’s community, we want to hear from you.
A Typical Day: 
<ul>
<li>Collaborate with partners and stakeholders to understand people-related business problems, and gather relevant people data to analyze</li>
<li>Utilize appropriate statistical models and data science methodologies to gain insights, explain, or predict a wide variety of people-related processes, such as recruiting and hiring, promotion, retention, pay equity, productivity, and organizational effectiveness, among others</li>
<li>Translate data and insights into meaningful visualizations and stories to drive strategy, action, and decision-making with leaders across the business</li>
<li>Align research priorities with business priorities and take a customer-focused mindset in working with stakeholders</li>
<li>Lead the team's compensation analytics - the recurring, legally sensitive analyses that inform Total Rewards decisions on pay, compensation structure, and talent awards - in close partnership with Employment Legal and Total Rewards</li>
<li>Lead design and measurement of Airbnb's quality-of-hire metric with Recruiting, and own sensitive statutory and governance reporting</li>
<li>Be a constant learner, active listener, and teacher to advance data science, people analytics, and Airbnb</li>
<li>Use AI fluently - including the team's AirPanda platform and LLM-based agents - to accelerate analysis, prototyping, and synthesis, and to extend what a single researcher can deliver</li>
</ul>
Your Expertise:
<ul>
<li>5+ years in industry experience and a Master's degree/PhD in a quantitative field</li>
<li>Deep experience with causal inference on observational data and quasi-experimental research design and analysis</li>
<li>Proficiency in R or Python for statistical analysis, and SQL for data access</li>
<li>Familiarity with survey design and analysis, as one of several methods in the toolkit</li>
<li>Experience applying data science to compensation, recruiting, or broader workforce and organizational questions, including work with legally sensitive data</li>
<li>Ability to communicate clearly and effectively to cross functional partners of varying technical levels and drive impact</li>
<li>Experience working with large practical datasets</li>
</ul>
Your Location:
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. <a href="https://careers.airbnb.com/" rel="noopener noreferrer ugc" target="_blank">Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list</a>. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
Our Commitment To Inclusion &amp; Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: <a href="mailto:reasonableaccommodations@airbnb.com">reasonableaccommodations@airbnb.com</a>. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. 
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
Equal Employment Opportunity:
Airbnb values diversity &amp; belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Airbnb are considered without regard to race, color, religion, national origin, age, gender, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, gender expression, sexual orientation, or any other legally protected characteristic.<div><div><div>How We'll Take Care of You:
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.  </div><div>Pay Range</div><div>$180,000—$210,000 USD</div></div></div><div> 
Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.
A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @<a href="http://airbnb.com" rel="noopener noreferrer ugc" target="_blank">airbnb.com</a> or @<a href="http://ext.airbnb.com" rel="noopener noreferrer ugc" target="_blank">ext.airbnb.com</a> email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing.  We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.
 </div>

Senior Data Scientist, People Analytics & Research

<div>Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.</div>Staff Data Engineer, Enterprise Core Datasets, Tech Foundations
The Community You Will Join:
At Airbnb, trustworthy data powers business decisions, product innovation, and operational efficiency. The Enterprise Core Datasets team builds the technical data foundations that help Airbnb understand how the business operates, where resources are invested, and how new technologies create value.
Our scope spans high-impact datasets across the organization: measuring AI adoption, usage, and cost; understanding revenue, costs, and profitability through Unit Economics; integrating non-platform data from Jira and other enterprise applications; and powering critical company metrics such as Gross Booking Value and Revenue.
You will join a team that values thoughtful architecture, engineering rigor, and operational ownership. We collaborate with engineering, product, analytics, finance, and business teams to turn complex requirements into dependable, reusable data assets. We welcome strong engineers who are curious about the business and eager to solve problems across diverse domains.
The Difference You Will Make:
As a Staff Data Engineer, you will provide hands-on technical leadership for datasets that shape decisions across Airbnb. Your work will help the organization measure AI adoption and spending, understand the economics of its products, and connect enterprise application data to meaningful business and operational insights.
You will lead complex initiatives from problem definition and architectural design through implementation, validation, and production operations. You will build extensible data foundations that accommodate new AI tools, products, cost categories, and enterprise systems while maintaining clear definitions, traceability, and reliable historical data.
Operating in an ecosystem that includes petabyte-scale datasets, you will improve correctness, freshness, performance, and cost efficiency. You will develop reusable frameworks that simplify source onboarding, reduce duplicated logic, and make critical data easier to discover and use. Through mentorship and contributions to Airbnb’s shared data engineering tools and standards, your impact will extend across the data community.
A Typical Day:
<ul>
<li>Lead the architecture, implementation, and operation of high-impact data pipelines across AI usage and cost, Unit Economics, enterprise applications, and critical Financial metrics.</li>
<li>Partner with stakeholders to define how AI adoption, consumption, and spending are measured across the organization, and build consistent data models that support those definitions.</li>
<li>Evolve Unit Economics datasets to connect revenue and diverse cost drivers, enabling teams to understand product profitability and resource efficiency.</li>
<li>Build reliable ingestion and transformation pipelines for non-platform systems such as Jira and other BizTech enterprise applications.</li>
<li>Translate ambiguous requirements into clear source contracts, reusable fact and dimension models, and technical designs.</li>
<li>Develop configurable pipelines and shared components that simplify onboarding new data sources, products, and business requirements.</li>
<li>Establish automated testing, reconciliation, anomaly detection, and monitoring to protect data accuracy, completeness, and availability.</li>
<li>Lead safe migrations and historical backfills through dependency analysis, validation, controlled cutovers, and recovery planning.</li>
<li>Optimize distributed processing, storage, and query performance to improve freshness and reduce compute costs.</li>
<li>Own production reliability through on-call participation, incident response, and lasting improvements to systems and runbooks.</li>
<li>Shape the technical roadmap, lead design reviews, mentor engineers, and contribute improvements to Airbnb’s Data Engineering Paved Path.</li>
</ul>
Your Expertise:
<ul>
<li>9+ years of relevant industry experience with a Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience; or 6+ years of relevant experience with a PhD.</li>
<li>A track record of leading complex data engineering initiatives from ambiguous requirements through architecture, delivery, and sustained production ownership.</li>
<li>Deep expertise in SQL and strong programming skills in Python or Scala, with experience building maintainable, well-tested data systems.</li>
<li>Extensive experience with distributed processing technologies such as Apache Spark and large-scale analytical storage systems.</li>
<li>Strong data modeling skills, including fact and dimension design, slowly changing dimensions, incremental processing, and historical data management.</li>
<li>Experience integrating heterogeneous sources, including APIs, enterprise applications, event data, and transactional systems, while managing schema changes and source reliability.</li>
<li>Proven ability to build reliable pipelines and execute migrations and backfills while preserving correctness and downstream compatibility.</li>
<li>Experience establishing data quality controls, observability, lineage, governance, and effective incident recovery practices.</li>
<li>Strong performance engineering skills, including diagnosing bottlenecks and optimizing distributed computation, storage, and query execution.</li>
<li>The ability to align stakeholders across engineering and business functions, communicate architectural tradeoffs, and drive decisions across team boundaries.</li>
<li>Demonstrated technical leadership through mentorship, architectural guidance, and improvements to shared engineering practices.</li>
<li>Curiosity and sound judgment when learning new domains and balancing immediate delivery needs with long-term system health.</li>
</ul>
Experience with AI usage or cost measurement, cloud cost attribution, Unit Economics, enterprise application data, or financial and payments datasets is a plus. Familiarity with workflow orchestration, SQL transformation frameworks, and modern table formats such as Apache Iceberg is also valuable.
Your Location:
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
 <div> 
Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.
A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @<a href="http://airbnb.com" rel="noopener noreferrer ugc" target="_blank">airbnb.com</a> or @<a href="http://ext.airbnb.com" rel="noopener noreferrer ugc" target="_blank">ext.airbnb.com</a> email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing.  We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.
 </div>

Staff Data Engineer, Tech Foundations

<div>Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.</div>The Community You Will Join:
<ul>
<li>The Analytics Infrastructure team’s mission is to enable universal data-informed decision-making at Airbnb. We achieve this by providing an integrated suite of analytics frameworks, services and applications. We’re infrastructure and full stack engineers with a human focus: customer-centric, quality driven, helpful and empathetic. </li>
<li>As a backend / fullstack software engineer on the Analytics Products team (which is part of Analytics Infrastructure) you will have the opportunity to build data tools which enable data practitioners to efficiently explore and analyze data to create insights. The team manages data products used by 7,000 monthly active users, including our in-house build  AI for Data product, BI product (<a href="https://medium.com/airbnb-engineering/supercharging-apache-superset-b1a2393278bd" rel="noopener noreferrer ugc" target="_blank">Apache Superset</a>) and Notebooks and their integrations within the Data Platform tooling, like Airbnb’s in-house build <a href="https://medium.com/airbnb-engineering/how-airbnb-achieved-metric-consistency-at-scale-f23cc53dea70" rel="noopener noreferrer ugc" target="_blank">Metric system</a> which enables metric consistency at scale. </li>
</ul>
The Difference You Will Make:
<ul>
<li>Shape up the future of AI powered Data Analytics at Airbnb. By working on improvements to our AI agent for Data, researching industry best practices and AI advancements, you will get to shape up and drive how our internal users get value from data.</li>
<li>Collaborate with other data platform teams to build integrations of our data tools with Airbnb's data platform’s ecosystem, like the <a href="https://medium.com/airbnb-engineering/metis-building-airbnbs-next-generation-data-management-platform-d2c5219edf19" rel="noopener noreferrer ugc" target="_blank">metric infrastructure</a> which enables metric consistency at scale, <a href="https://medium.com/airbnb-engineering/metis-building-airbnbs-next-generation-data-management-platform-d2c5219edf19" rel="noopener noreferrer ugc" target="_blank">data management platform</a> which enables data discovery and data management, data warehouse infrastructure and services, and more.</li>
<li>Continue to hold high quality bar for our data tools, to ensure high stability and reliability for Airbnb’s data practitioners. </li>
</ul>
A Typical Day: 
<ul>
<li>Build new features to support user’s workflows within our data products (Superset, AI agent for Data, Notebooks)</li>
<li>Collaborate with teams within Airbnb’s data platform on integrations of our data products within the data platform’s infrastructure. </li>
<li>Engage with users of our products - we expect all engineers to be able to drive projects end to end, gather user feedback or collaborate with product managers, create and manage feature roll out plans and migrations. </li>
<li>Contribute to maintaining a high technical quality bar by identifying quality or architecture improvements projects, improving testability, observability, and reviewing other’s code and technical designs.</li>
<li>Support users and the team’s operations via lightweight on-call support.</li>
</ul>
Your Expertise:
<ul>
<li>8+ years of full-time, relevant industry experience, with expertise in building backend or fullstack applications</li>
<li>Hands-on experience with data (SQL, Data Engineering, Analytics Engineering) or internal data applications development</li>
<li>Passion for building interactive and delightful user experiences and engaging with users.</li>
</ul>
Ability to drive cross functional projects including alignment, collaboration and roll out with partner teams and users.
<ul>
<li>Appetite for high quality code and robust systems, including observability, reliability. </li>
<li>Experience with building AI agents, context engineering, AI harness is a plus.</li>
<li>Expertise with frontend development - HTML, CSS, Typescript, Javascript and modern front-end frameworks such as React is a plus.</li>
<li>Experience in big data technologies e.g: Airflow, Spark, Trino, etc. is a plus. </li>
</ul>
Our Commitment To Inclusion &amp; Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: <a href="mailto:reasonableaccommodations@airbnb.com">reasonableaccommodations@airbnb.com</a>. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. 
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.<div> 
Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.
A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @<a href="http://airbnb.com" rel="noopener noreferrer ugc" target="_blank">airbnb.com</a> or @<a href="http://ext.airbnb.com" rel="noopener noreferrer ugc" target="_blank">ext.airbnb.com</a> email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing.  We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.
 </div>

Senior Software Engineer, Analytics Infrastructure

<div>Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.</div>The Community You Will Join:
<ul>
<li>The Analytics Infrastructure team’s mission is to enable universal data-informed decision-making at Airbnb. We achieve this by providing an integrated suite of analytics frameworks, services and applications. We’re infrastructure and full stack engineers with a human focus: customer-centric, quality driven, helpful and empathetic. </li>
<li>As a backend / fullstack software engineer on the Analytics Products team (which is part of Analytics Infrastructure) you will have the opportunity to build data tools which enable data practitioners to efficiently explore and analyze data to create insights. The team manages data products used by 7,000 monthly active users, including <a href="https://medium.com/airbnb-engineering/supercharging-apache-superset-b1a2393278bd" rel="noopener noreferrer ugc" target="_blank">Apache Superset</a>, Notebook tool and AI for Data chat product and their integrations within the Data Platform tooling, like Airbnb’s in-house build <a href="https://medium.com/airbnb-engineering/how-airbnb-achieved-metric-consistency-at-scale-f23cc53dea70" rel="noopener noreferrer ugc" target="_blank">Metric system</a> which enables metric consistency at scale. </li>
</ul>
The Difference You Will Make:
<ul>
<li>Shape up the future of Apache Superset through open source collaboration, internal user engagement and direct code contributions. By plugging into the open source community - Superset  releases, roadmap and operational processes, you will help shape and drive new Apache Superset improvements and features and ensure they scale for Airbnb’s user base. </li>
<li>Collaborate with other data platform teams to build integrations of our data tools with Airbnb's data platform’s ecosystem, like the <a href="https://medium.com/airbnb-engineering/metis-building-airbnbs-next-generation-data-management-platform-d2c5219edf19" rel="noopener noreferrer ugc" target="_blank">metric infrastructure</a> which enables metric consistency at scale, <a href="https://medium.com/airbnb-engineering/metis-building-airbnbs-next-generation-data-management-platform-d2c5219edf19" rel="noopener noreferrer ugc" target="_blank">data management platform</a> which enables data discovery and data management, data warehouse infrastructure and services, and more.</li>
<li>Continue to hold high quality bar for our data tools, to ensure high stability and reliability for Airbnb’s data practitioners. </li>
</ul>
A Typical Day: 
<ul>
<li>Build new features to support user’s workflows, within our data products (Superset, AI for Data Chat, Notebooks) and integrations of our tools within the Data Platform’s ecosystem </li>
<li>Collaborate with Apache Superset open source community and make contributions to the Apache Superset project </li>
<li>Prepare, test and release Superset OSS official releases internally for Airbnb</li>
<li>Collaborate with teams within Airbnb’s data platform on integrations of our data products within the data platform’s infrastructure. </li>
<li>Engage with users of products our team owns - we expect all engineers to be able to drive projects end to end, gather user feedback or collaborate with product managers, create and manage feature roll out plans and migrations. </li>
<li>Contribute to maintaining a high technical quality bar by identifying quality or architecture improvements projects, improving testability, observability, and reviewing other’s code and technical designs.</li>
<li>Support the team’s operations via lightweight on-call support.</li>
</ul>
Your Expertise:
<ul>
<li>5+ years of full-time, relevant industry experience, with expertise in building backend services in Python.</li>
<li>Expertise with frontend development - HTML, CSS, Typescript, Javascript and modern front-end frameworks such as React is a plus.</li>
<li>Hands-on experience with data (SQL, Data Engineering) or big data technology is a plus, e.g: Airflow, Spark, Trino, etc. </li>
<li>Experience in some combination of internal application development, data infrastructure, and analytics engineering is a plus.</li>
<li>Appetite for high quality code and robust systems, including observability, and reliability. </li>
<li>Ability to drive cross functional projects or migrations - including alignment, collaboration and roll out with partner teams and users.</li>
<li>Passion for building interactive and delightful user experiences and engaging with users.</li>
</ul>
Our Commitment To Inclusion &amp; Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: <a href="mailto:reasonableaccommodations@airbnb.com">reasonableaccommodations@airbnb.com</a>. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. 
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.<div> 
Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.
A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @<a href="http://airbnb.com" rel="noopener noreferrer ugc" target="_blank">airbnb.com</a> or @<a href="http://ext.airbnb.com" rel="noopener noreferrer ugc" target="_blank">ext.airbnb.com</a> email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing.  We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.
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