Staff Data Engineer, Tech Foundations

🕒 October 16

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

Where this job comes from

Posted on Airbnb's careers page, not through a job board

First seen by Remote Rocketship October 16

Still open on Airbnb's site. Checked 1 hour ago.

Logo of Airbnb

Airbnb

5001 - 10000 employees

Founded 2007

✈️ Travel

📦 Logistics

🛍️ eCommerce

💰 Post-IPO Equity on 2020-12

Travel • Logistics • eCommerce

Airbnb is a global online marketplace that connects people looking for accommodation with hosts offering unique and diverse lodging options, often in residential properties. Users can book spaces ranging from one-bedroom apartments to entire homes and boutique hotels. Airbnb also offers experiences, allowing guests to book activities hosted by locals, providing an authentic travel experience.

📋 Description

• Lead architecture, implementation, and operation of high-impact data pipelines across AI usage and cost, Unit Economics, enterprise applications, and critical financial metrics • Define measurements for AI adoption, consumption, and spending and build consistent data models • Evolve Unit Economics datasets connecting revenue and diverse cost drivers • Build ingestion and transformation pipelines for Jira and other BizTech enterprise applications • Translate ambiguous requirements into source contracts, reusable fact and dimension models, and technical designs • Develop configurable pipelines and shared components for onboarding data sources, products, and business requirements • Establish automated testing, reconciliation, anomaly detection, and monitoring • Lead migrations and historical backfills through dependency analysis, validation, controlled cutovers, and recovery planning • Optimize distributed processing, storage, and query performance • Own production reliability through on-call participation, incident response, and runbook improvements • Shape the technical roadmap, lead design reviews, mentor engineers, and improve Airbnb’s Data Engineering Paved Path

🎯 Requirements

• 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 • Track record of leading complex data engineering initiatives from ambiguous requirements through architecture, delivery, and sustained production ownership • Deep expertise in SQL and strong programming skills in Python or Scala • Extensive experience with Apache Spark and large-scale analytical storage systems • Strong data modeling skills, including fact and dimension design, slowly changing dimensions, incremental processing, and historical data management • Experience integrating heterogeneous sources, including APIs, enterprise applications, event data, and transactional systems • Proven ability to build reliable pipelines and execute migrations and backfills • Experience establishing data quality controls, observability, lineage, governance, and incident recovery practices • Strong performance engineering skills involving distributed computation, storage, and query execution • Ability to align stakeholders across engineering and business functions and communicate architectural tradeoffs • Demonstrated technical leadership through mentorship and architectural guidance • 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 Apache Iceberg is valuable • Must live in a state where Airbnb, Inc. has a registered entity

🏖️ Benefits

• Occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager • Reasonable accommodations throughout the recruitment process for applicants with disabilities

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