KeyStep

Senior Software Engineer, Data Infrastructure

Airbnb
USA - Remote
about 3 hours ago
full-timeremote

Skills & Technologies

JavaScalaDistributed SystemsSQLNoSQLETLData WarehouseAWSMachine LearningSparkHadoopHiveAirflowMakeEMRCommunication Skills

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

Design and build the next generation big data compute platform to empower data ETL, analytics and machine learning at Airbnb

Operate, manage and improve the reliability, performance, observability and cost efficiency of the platform.

Write maintainable and self-documenting code, perform code reviews.

Work on, and contribute to open source software, and have industry impact.

Your Expertise

BS/MS/PhD in Computer Science, a related field, or equivalent work experience preferred.

5+ years of experience working with data infrastructure, with a focus on big data technologies.

Proficiency in big data technologies such as Spark, Presto/ Trino, Hive, and AWS EMR.

Strong programming skills in languages such as Java, Scala.

Extensive experience in designing, building, and maintaining scalable, fault-tolerant distributed systems.

Demonstrated expertise in multi-threading and concurrency programming.

Familiar with database systems, both SQL and NoSQL.

Proven ability to collaborate with other teams to define system requirements, identify potential solutions, and test and integrate systems.

Capacity to troubleshoot and resolve complex data infrastructure problems.

Strong communication skills, both written and verbal.

Ability to work effectiv

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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