Data Engineer, Traveler Data Engineering(m/w/x)

Requirements

• 3+ years in relevant data role
• Hands-on experience with data engineering technologies and analytics tooling
• Excellent written and verbal English communication skills
• Ability to explain technical concepts clearly
• Expertise in SQL and Python
• Robust data pipeline and data model building skills
• Experience operating data at scale in warehouses/lakes
• Strong focus on data quality, accuracy, and reliability
• Strong dbt proficiency
• Familiarity with Spark
• Solid understanding of data visualization and enablement
• Effective prioritization skills
• Stakeholder management skills
• Ability to translate business needs into technical plans
• Proactive approach
• Customer-oriented mindset
• Comfort owning projects end-to-end
• Ability to balance system health with new delivery
• Collaborative mindset
• Mentoring-minded approach
• Enjoyment of sharing knowledge
• Ability to raise standards through reviews
• Team support skills
• AI-first mindset
• Ability to use modern AI tools for productivity
• Maintenance of quality, security, and governance standards
• Experience delivering data solutions for marketplaces
• Ability to thrive in complex, multi-stakeholder environments
• Ability to translate product questions into definitions (funnels, cohorts, KPIs)
• Ability to build data solutions for comparable metrics
• Maintenance of reliability, governance, and trust
• Strong CS fundamentals
• Polyglot mindset
• Comfort with Java/Scala
• Value for clean code
• Solid testing habits
• Pragmatic automation skills

Tasks

• Build end-to-end data solutions
• Deliver reliable, high-quality datasets
• Deliver high-quality data pipelines
• Enable data-driven traveler decisions
• Collaborate with Product and Data teams
• Translate business needs into outcomes
• Drive adoption of self-serve data capabilities
• Apply best practices for code quality
• Apply best practices for data modeling
• Apply best practices for testing
• Apply best practices for monitoring and alerting
• Provide operational support for solutions
• Improve system reliability
• Refactor existing data pipelines
• Simplify existing data models
• Fix root cause data quality issues
• Improve performance of systems
• Reduce system costs
• Participate in team planning
• Contribute to roadmap development
• Conduct code reviews
• Share knowledge with the team
• Balance operational tasks and new solutions
• Prioritize improvements using team SLOs

Work Experience

EducationMore information about education requirement

Languages

Tools & Technologies