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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. The community you will join The AirCover Data Foundation team is responsible for providing trustworthy, consistent data and metrics to facilitate business insights, informed decision-making, and seamless operations across Airbnb's AirCover programs, such as Guest Travel Insurance, AirCover for Hosts, and AirCover for Guests. The team manages the end-to-end data lifecycle for guest and host protection programs, encompassing data ingestion and reconciliation with external insurance partners, as well as the construction of curated, offline analytics-ready data assets. This foundational data supports critical business functions, including claims and operations reporting, product experimentation, financial reconciliation, and the executive dashboards utilized by stakeholders across Product, Engineering, Operations, Finance, and Data Science. As AirCover continues its expansion into new markets and the introduction of new protection offerings, the data team plays a fundamental role in enabling trusted, data-driven decisions at every organizational level. The difference you will make As a Senior Data Engineer on AirCover Data Foundation, you will build and evolve the trusted data systems that power AirCover products and operations. You will partner closely with software engineers, product managers, analysts, data scientists, and business stakeholders to understand business needs, secure the right data sources, design high-quality data models, and deliver robust data models and metrics. Your work will help Airbnb scale AirCover into new markets and new protection offerings with reliable data foundations for experimentation, operational excellence, reconciliation, and leadership reporting. This role is ideal for someone who combines strong software engineering fundamentals with data engineering judgment. You should be excited by building broadly useful data assets & metrics, improving trust in data quality, and translating complex business workflows and partner data into clean, consumable models. What you’ll do Design, build, and maintain robust, scalable data pipelines that ingest, reconcile, transform, and publish data for AirCover products and operations. Develop high-quality, analytics-ready data models and metrics that support executive reporting, claims and operations workflows, experimentation, financial reconciliation, and self-serve analysis. Partner with software engineers and external-data stakeholders to translate source-system behavior and partner data feeds into trustworthy offline datasets. Ensure data quality, consistency, accuracy, and documentation across critical AirCover data assets. Improve the reliability, maintainability, and observability of pipelines through strong testing, monitoring, and engineering standards. Collaborate cross-functionally with Product, Engineering, Operations, Finance, Analytics, and Data Science to define data requirements and deliver solutions that drive business outcomes. Contribute to the broader Data Engineering community at Airbnb by influencing tooling, standards, and best practices. Help raise the bar for foundational data systems that can scale with new AirCover markets, products, and regulatory or partner requirements. What we’re looking for 6+ years of relevant industry experience in data engineering, software engineering, or closely related fields. Strong experience designing and maintaining production-quality ETL or ELT pipelines. Strong data modeling skills, including experience structuring data for business-relevant analytics and operational use cases. Hands-on experience with large-scale distributed data processing technologies such as Spark and distributed storage systems. Strong SQL skills and proficiency in at least one programming language commonly used in data engineering, such as Python, Scala, or Java. Experience with workflow orchestration or ETL scheduling frameworks such as Airflow. Experience working with structured and third-party data sources, including reconciliation and transformation into trustworthy warehouse models. Excellent written and verbal communication skills, with the ability to work effectively across technical and non-technical stakeholders. Sound judgment around data quality, documentation, ownership, and long-term maintainability. Nice to have Experience supporting insurance, risk, trust, compliance, or financial data domains. Experience working with external partner data feeds, reconciliations, or operational reporting systems. Familiarity with experimentation data, executive metrics, or business performance dashboards. Experience improving data quality frameworks, observability, or automated testing for critical data assets. Experience building foundational datasets used across multiple teams and use cases. 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. Our Commitment To Inclusion & 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: reasonableaccommodations@airbnb.com . 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. 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. Pay Range $196,000 — $227,000 USD
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.
