Greenhouse ·
full-timeSenior Data Engineer, Payments
Airbnb · United States
Airbnb is a global platform connecting hosts and guests for unique stays and experiences. The AirCover Data Foundation team manages the end-to-end data lifecycle for the company's protection programs, including guest travel insurance and host protection services. As a Senior Data Engineer, you will be responsible for designing and maintaining scalable data pipelines that ingest, reconcile, and transform complex datasets from internal systems and external insurance partners. Your daily work will involve developing high-quality, analytics-ready data models that support critical business functions such as financial reconciliation, claims reporting, product experimentation, and executive decision-making. You will collaborate closely with cross-functional teams, including software engineers, data scientists, and product managers, to ensure data accuracy and reliability. This role is well-suited for a candidate with significant industry experience in data engineering who possesses strong software engineering fundamentals. The ideal applicant is comfortable building robust data foundations, improving pipeline observability, and translating complex business workflows into clean, consumable data assets that can scale as the company expands into new markets and product offerings.
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, obser
| Role | Senior Data Engineer, Payments |
|---|---|
| Company | Airbnb |
| Location | United States |
| Type | full-time |
| Compensation | Not disclosed |
| Posted | 2026-10-21 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4About Airbnb
Airbnb is a global platform that facilitates travel and accommodation by connecting guests with hosts. Since its inception in 2007, the company has grown from its first three guests to hosting 1.5 billion arrivals. The platform operates through a network of 5 million hosts who provide lodging options to travelers worldwide. Airbnb maintains a global creative community and emphasizes a flexible work environment for its employees, allowing them to live and work in various locations where regulations permit.
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