KeyStep

Senior Software Engineer, Data Infrastructure

Airbnb
USA - Remote
29 days ago
full-timeremote

Skills & Technologies

JavaScalaDistributed SystemsSQLNoSQLETLData WarehouseAWSMachine LearningSparkHadoopAirflowMakeEMR

Job Description

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join

Data represents the voice of Airbnb’s users at scale. The Data Warehouse Infrastructure team is responsible for the foundational big data infrastructure, which is used by hundreds of engineers to collect, manage, and analyze data at scale. We are using open source technologies like Hadoop, Spark, Trino, Iceberg, Airflow etc.

A Typical Day

Architect, design, and implement Airbnb's next-generation big data compute platform to support data ETL, analytics, and machine learning initiatives.

Manage and operate the platform, continually enhancing its reliability, performance, observability, and cost-efficiency.

Produce high-quality, maintainable, and self-documenting code, actively participating in code review processes.

Contribute to open-source software and drive meaningful industry impact.

Your Expertise

Qualifications

Education: BS/MS/PhD in Computer Science, a related field, or equivalent practical experience (preferred).

Experience: 6+ years of professional experience in data infrastructure, with a deep focus on big data technologies.

Technical Skills

Big Data Proficiency: Expert-level knowledge of big data technologies, including Spark, Trino, Kunbernates, and AWS EMR.

Programming: Strong programming abilities in languages such as Java, Scala, and SQL.

System Design: Extensive experience in the design, construction, and maintenance of scalable, fault-tolerant distributed systems.

Database Systems: Familiarity with a variety of database systems, including both SQL and NoSQL.

Troubleshooting: Capacity to diagnose and resolve complex issues within data infrastructure

Company & Role Analysis

JobSeeker+
Likely perks
Private MedicalPension25+ Days HolidayStock OptionsLearning BudgetFlexible Hours
Culture & working style

Neutral 2–4 sentence summary of what working at this company is like, drawn from public reviews and press coverage. Tone, collaboration style, pace, benefits highlights.

Market salary range

£45,000 – £60,000 (Glassdoor, Levels.fyi, 2025)

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