Senior Analytics Infra Engineer — AI Data Tools

OpenKrill; United States; Hybrid; USD 150,000 - 210,000; Full time

Job summary

Airbnb is seeking an experienced backend/fullstack engineer to contribute to analytics infrastructure and data products used by thousands of users. You will help build AI-powered data tools and ensure reliable, scalable platform integrations across the Data Platform tooling stack.

The role emphasizes end-to-end ownership, collaboration with cross-functional teams, and a strong focus on data quality, observability and user-centric design. Expect a hybrid work setup with stakeholders globally.

Qualifications

• 8+ years of full-time, relevant industry experience.
• Hands-on experience with data (SQL, Data Engineering, Analytics Engineering).
• Passion for building interactive user experiences and engaging with users.
• High quality code and robust systems (observability, reliability).
• Experience with building AI agents; context engineering is a plus.
• Frontend development expertise (HTML, CSS, TypeScript, JavaScript; React a plus).
• Experience with big data technologies (Airflow, Spark, Trino) is a plus.

Responsibilities

• Build features to support user workflows in data products (Superset, AI agent for Data, Notebooks).
• Collaborate with data platform teams to integrate data tools within Airbnb’s ecosystem.
• Drive end-to-end projects with users, gather feedback and manage rollout plans.
• Maintain high technical quality, improve architecture, testing and observability.
• Provide lightweight on-call support as part of team operations.

Skills

Backend / Fullstack

SQL / Data Eng

Frontend (HTML/CSS/TS/React)

AI agents / context eng

Observability & reliability

Big data tech (Airflow Spark Trino)

Job description

Airbnb is seeking an experienced backend/fullstack engineer to contribute to analytics infrastructure and data products used by thousands of users. You will help build AI-powered data tools and ensure reliable, scalable platform integrations across the Data Platform tooling stack.

The role emphasizes end-to-end ownership, collaboration with cross-functional teams, and a strong focus on data quality, observability and user-centric design. Expect a hybrid work setup with stakeholders globally.