Senior Data Engineer, People Analytics

Details

People Analytics & Research is seeking an experienced Data Engineer to support data initiatives spanning data infrastructure, analytics engineering, and data product development. The role involves building data foundations and analytical products that support employee experience initiatives and AI-driven tools. You will work cross-functionally with Talent Leaders, Recruiting, Legal, Diversity and Belonging, BizTech, and other people-oriented teams.

Responsibilities

• Collaborate with team members and stakeholders to understand data and people-related business problems and translate them into scalable data solutions.
• Build data pipelines and tables from HR systems such as Workday, Greenhouse, and other data sources.
• Support Data Science team members with reporting, dashboard development, and other client-facing use cases.
• Build, update, and maintain production-grade data foundations for AI initiatives, including pipelines for LLM-powered tools, evaluation and feedback datasets, access controls, and data models.
• Design and deliver data products, dashboards, reporting tools, and Streamlit visualization applications for non-technical stakeholders.
• Write and optimize queries across Trino/Presto and PostgreSQL.
• Align work with a roadmap and prioritize high-impact projects.
• Assess data readiness for AI use cases and ensure sensitive employee data is managed with appropriate governance, permissions, and access controls.
• Support the transition of AI prototypes to production by building automated pipelines, security controls, and stable data models.
• Contribute to data engineering, people analytics, and organizational learning through adaptability, judgment, active listening, and teaching.

Requirements

• 5+ years of industry experience as a Data Engineer or in a closely related field.
• Proficiency in SQL across OLAP and OLTP environments, including Trino, Presto, Hive, and PostgreSQL syntax.
• Strong command of Ubuntu, including navigating, managing, and editing files on AWS instances through SSH.
• Experience with relational databases and database administration.
• Fluency in Python, including interaction with web APIs, SFTP, S3 buckets, and Airtable, as well as efficient processing of intermediate data.
• Experience building scalable data pipelines with Airflow or similar orchestration frameworks.
• Knowledge of database concepts such as primary keys, indexes, nullable fields, data types, partitioning, and data modeling for efficient storage and retrieval.
• Experience working with sensitive data, including sensitivity classification, access controls, audit logging, and data governance requirements.
• Experience building data products, dashboards, or reporting tools using lightweight frontend frameworks such as Streamlit.
• Ability to analyze large datasets, identify gaps and inconsistencies, interpret complex queries, and communicate findings to non-technical audiences.
• Experience building data layers for LLM-based tooling or agentic AI frameworks, including data quality and latency requirements, AI evaluation practices, feedback loops, and evaluation dataset management.
• Strong ability to work with technical and non-technical stakeholders.
• Understanding of data structures and algorithms, including their application to medium-complexity problems.
• Experience using Git repositories for codebase management and version control, with the ability to mentor and support peers.
• Familiarity with system design principles applied to data platforms or AI-integrated systems.

Location

This position is US remote eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed with the manager. Candidates must live in a state where Airbnb, Inc. has a registered entity.

Compensation

The base pay range is $179,000–$210,000 USD per year. The role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Inclusion And Accommodation

Airbnb encourages qualified individuals to apply and provides a disability-inclusive application and interview process. Reasonable accommodation requests can be directed to [email protected].