Jobs / United States / Airbnb

Airbnb

Senior Data Engineer, Payments

United States Posted today

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Skills this job asks for

ReconciliationA/B testingLeadershipTranslationData engineering

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 167 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Airbnb paid sponsored hires in similar roles8 certified filings for “Machine Learning Engineer” (Data Scientists) in WA: $179k–$196k, median $185k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 167 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Airbnb paid sponsored hires in similar roles
8 certified filings for “Machine Learning Engineer” (Data Scientists) in WA: $179k–$196k, median $185k. Most were filed at wage level II (50%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

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 maintainin

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