Develop high quality data assets to satisfy a wide range of use-cases
Develop frameworks and tools to scale insight generation to meet critical business and infrastructure requirements
Collaborate and build strong partnerships with other data practitioners throughout Airbnb
Influence the trajectory of data in decision making
Improve trust in our data by championing for data quality across the stack
Influence event logging instrumentation best practices and participate in architecture designs

Requirements

9+ years of experience with a BS/Masters or 6+ years with a PhD
Fluent in SQL and proficient in at least one data engineering language, such as Python or Scala
Expertise using business intelligence and reporting tools like Superset and Tableau
Expertise in large-scale distributed data processing frameworks like Presto or Spark
Expertise in data modeling for data warehouses and/or metrics repositories
Experience with an ETL framework like Airflow
Clear and mature communication skills: ability to distill complex ideas for technical and non-technical stakeholders
Ability to provide technical leadership and mentorship, guiding teams on best practices and contributing to the development of analytic engineering strategies
Experience exploring and leveraging LLM AI’s in every-day tasks (coding, documentation, etc…)

Benefits

This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLPythonScalabusiness intelligencereporting toolsSupersetTableaudata processing frameworksPrestoSpark

Soft Skills

communication skillstechnical leadershipmentorshipcollaborationinfluencedata quality advocacypartnership buildingdistilling complex ideas

Certifications

BSMastersPhD