Senior Data Engineer, People Analytics

Airbnb

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $179,000–$210,000 / yr
Posted: 1 day ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $185k

This role $194k

$137k most similar roles pay here $233k

This role pays more than 55% of similar roles. Most pay $146,312–$224,000 — the shaded band above. At the midpoint, this role pays about $194k versus about $185k for comparable roles.

Based on 240 similar postings.

Employer

About Airbnb

Founded in 2008 and formerly known as AirBed & Breakfast, Inc., Airbnb is a global marketplace connecting travelers with hosts who offer unique accommodations, ranging from private rooms to entire homes. It operates a massive digital platform for booking stays, experiences, and travel services worldwide.

Airbnb currently has 82 open roles on FindRole.

Listed pay typically runs $204,000–$255,000 across 52 roles with salary data.

Most-posted roles

View all roles at Airbnb

At a glance

TL;DR · Senior Data Engineer, People Analytics

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The People Analytics & Research team at Airbnb is seeking an experienced Data Engineer to support its expanding data initiatives. This role involves building robust data pipelines and tables from HR systems like Workday and Greenhouse, as well as developing a production-grade data foundation for AI-driven tools. You will collaborate with various teams including Talent Leaders, Recruiting, Legal, and Diversity & Belonging to deliver scalable solutions that enhance employee data accessibility. Key responsibilities include writing optimized queries in Trino/Presto and Postgres, designing data models, and building dashboards using frameworks like Streamlit. The ideal candidate has 5+ years of experience as a Data Engineer with proficiency in Python, SQL, and Airflow, along with strong skills in database management and governance for sensitive employee data.

Skills

Python SQL Trino Presto Postgres AWS Airflow Streamlit Git Ubuntu CI/CD Kubernetes Terraform

What you'll do

Build and maintain data pipelines from HR systems like Workday and Greenhouse.
Design and deliver production-grade data foundations for AI initiatives.
Develop and optimize queries across distributed query engines and relational databases.
Support Data Science team in reporting, dashboard development, and client use-cases.
Align on priorities and work from a roadmap to focus on high-priority projects.
Ensure sensitive employee data is handled with appropriate governance and access controls.

What we're looking for

5+ years of industry experience as a Data Engineer or related field
Proficient in SQL across OLAP and OLTP environments using Trino/Presto/Hive and Postgres
Experience with relational databases and data pipeline orchestration frameworks like Airflow
Strong command of Python for interacting with various data sources and processing intermediate data
Expertise in designing secure, scalable data models and implementing database concepts accurately
Familiarity with sensitive data governance requirements and experience building data products for non-technical stakeholders

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