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Airbnb

Senior Staff Data Engineer, Foundational Data

Airbnb

. Provide technical leadership across data engineering and analytics engineering work spanning cloud cost, traffic and bots, and infrastructure intelligence .

Posted 9/22/2026full-timeRemote • United StatesSenior💰 $248,000 - $310,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data engineering and analytics, with a focus on building and maintaining scalable data pipelines, defining data strategies, and influencing cross-functional teams. Proficient in SQL and Python, with a strong ability to design dimensional models and drive data product adoption.

Highest-signal resume keywords
Data Pipeline DesignSQL ProficiencyPython ProgrammingTechnical LeadershipDimensional Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringData AnalyticsSQLPythonDimensional ModelingData StrategyData Product DevelopmentData Pipeline OperationAI Unit EconomicsAutomated Checks
Soft Skills
Influencing Without AuthorityCross-Organizational Consensus BuildingCoachingConflict ResolutionCommunication
Tools & Technologies
AirflowTelemetryLogsBilling DataGPU Fleet Utilization
Industry Keywords
Data EngineeringAnalytics EngineeringInfrastructure IntelligenceCloud Cost ManagementData Fragmentation

Tech Stack

Tools & technologies
AirflowCloudPythonScalaSQL

About the role

Key responsibilities & impact
  • Provide technical leadership across data engineering and analytics engineering work spanning cloud cost, traffic and bots, and infrastructure intelligence
  • Define and own the multi-year data strategy and architecture for Airbnb's foundational data assets
  • Build cross-organizational consensus to fund and execute the data strategy
  • Own measurement of AI unit economics, training and serving costs, GPU fleet utilization, and developer AI tooling adoption
  • Design and build datasets integrating cost, utilization, performance, and reliability signals across infrastructure fleets
  • Build and maintain Airflow-orchestrated pipelines ingesting telemetry, logs, and billing data
  • Develop dimensional models and Minerva definitions used across Airbnb
  • Stay hands-on in pipelines and models to identify design and implementation issues
  • Influence and coach distributed Data Engineers and Analytics Engineers through design and code review
  • Build frameworks and automated checks adopted by other teams
  • Resolve conflicting requirements across Infrastructure, Finance, Data Science, and Product Engineering
  • Eliminate duplication and data fragmentation and drive deprecation of replaced models
  • Participate in the on-call rotation for owned datasets

Requirements

What you’ll need
  • 12+ years of relevant industry experience with a BS/Masters, or 9+ years with a PhD, in data engineering or a closely related field
  • Experience designing, building, and operating production data pipelines at large scale
  • Strong SQL and Python skills
  • Scala experience is useful but not required
  • Ability to design dimensional models and define trusted metrics
  • Ability to become productive quickly in unfamiliar data or technical domains
  • Experience serving as a technical lead while writing code and influencing without formal authority
  • Experience writing multi-year technical strategies and securing organizational funding and delivery
  • Experience building data products without an existing schema or precedent and driving adoption
  • Experience aligning teams on contested technical decisions and explaining data models to finance partners and engineers
  • Must live in an approved U.S. state where Airbnb Payments, Inc. is a registered entity: Alabama, California, Florida, Georgia, Illinois, Minnesota, Mississippi, Nevada, New Jersey, New York, North Carolina, Ohio, Oregon, Pennsylvania, Tennessee, Texas, or Washington

Benefits

Comp & perks
  • Bonus eligibility
  • Equity eligibility
  • Benefits
  • Employee Travel Credits
  • Remote work eligibility
  • Occasional Airbnb office work or offsite attendance, as agreed with the manager
  • Reasonable accommodations during recruitment for candidates with disabilities