Senior Analytics Engineer

Summary

Join Airbnb's Foundational Data team as a Senior Analytics Engineer and build high-quality datasets that power company insights. You will collaborate with cross-functional teams, including product, business partners, and engineering, to define requirements and execute effectively. This role requires expertise in SQL, data engineering languages (Python or Scala), geospatial data, and data visualization tools. You will architect and develop data assets, import external datasets, and develop frameworks for insight generation. The position offers a competitive salary, potential for bonus and equity, and benefits. This is a US-remote eligible position with occasional office work.

Requirements

• 5+ years of experience experience in Analytics Engineering, Data Science, Data Engineering, or similar field
• Expertise in SQL and proficient in at least one data engineering language, such as Python or Scala
• Expertise in working with geospatial / geolocation data
• Experience with Tableau and data visualization tools generally
• Experience with an ETL framework like Airflow
• Excellent communication skills with a history of strong collaborations with technical and non-technical partners
• Expertise with data warehousing and modeling. Hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and columnar databases (e.g., Redshift, BigQuery, HBase, ClickHouse)
• Strong problem-solving skills and the ability to troubleshoot complex data issues

Responsibilities

• Architect and develop high quality data assets for product and analytics use cases, as well as for sharing with external partners
• Be resourceful in identifying and importing external data sets that help answer business questions
• Collaborate and build relationships with partners including backend/client, data science, analytics, and ML
• Develop frameworks, tools, and dashboards to scale insight generation to meet critical business, product, and regulatory requirements
• Present product and technical deep dives to key stakeholders
• Influence the trajectory of data in decision making
• Improve trust in our data by championing for data quality across the stack

Preferred Qualifications

• Experience providing high-quality reports for external stakeholders (bonus points for working with geopolitical regulatory bodies)
• Experience influencing large organizations on technology or architecture direction
• Experience collaborating with ML engineers to develop and productionize models
• Side projects or open source contributions to data frameworks and tooling

Benefits

• Bonus
• Equity
• Benefits
• Employee Travel Credits