Data Engineer

Wanderlust App is a travel planning platform that builds trip itineraries from real city and cost data, runs trips offline through a mobile "Trip Mode," and lets travelers publish and discover trips from each other. We're looking for a Data Engineer to help build and scale the data infrastructure behind our city, cost, and trip data — the foundation that powers itinerary generation, city guides, and search across 1,300+ cities and 190+ countries.

What you'll do

• Design, build, and maintain scalable data pipelines that ingest, clean, and transform city, cost, and travel data from multiple sources
• Build and own data models and schemas that support product features like itinerary generation, city guides, and trip search
• Partner with product and engineering teams to ensure data is accurate, timely, and accessible for both application features and internal analytics
• Monitor data pipeline health, troubleshoot failures, and implement testing and validation to catch data quality issues early
• Optimize data storage, query performance, and pipeline efficiency as data volume and usage grow
• Document data sources, transformations, and pipeline architecture for use by other engineering and product teams

What we're looking for

• 3+ years of experience in data engineering or a closely related role
• Strong SQL skills and experience designing data models for analytical and operational use cases
• Hands-on experience building and orchestrating data pipelines (batch and/or streaming)
• Proficiency in a programming language commonly used for data engineering, such as Python or Scala
• Experience working with cloud data warehousing and storage systems
• Comfort working cross-functionally with product and engineering teams to translate requirements into reliable data infrastructure

Nice to have

• Experience with geospatial or location-based datasets
• Familiarity with workflow orchestration tools such as Airflow or dbt
• Experience supporting data needs for consumer-facing mobile or web applications