Senior Software Engineer

Airbnb Logo

Airbnb

πŸ’΅ $191k-$225k
πŸ“Remote - United States

Summary

Join Airbnb's DBExports team and become a resident expert on the online data exports platform. Build and operate data ingestion systems, enabling various data access methods. Collaborate with cross-functional teams to deliver multi-month projects. Raise operational standards by proactively identifying and resolving issues. Mentor junior engineers and be part of the on-call rotation. Leverage your expertise in large-scale backend systems, distributed databases, and coding to contribute to Airbnb's data infrastructure. This US-remote eligible position offers a competitive salary and benefits package.

Requirements

  • 5+ years of experience building and operating large scale core backend distributed systems like storage, data ingestion, backup and restore, streaming
  • Ability to own and dive deeply in a complex code base
  • Experience maintaining, analyzing, and debugging production systems
  • Knack for writing clean, readable, testable, maintainable code
  • Strong collaboration and communication skills in a remote-working environment
  • Demonstrate strong ownership and consistently deliver in a timely manner
  • Experience working in either Java, Scala or Python

Responsibilities

  • Build and operate data ingestion system that enables various ways of accessing data at Airbnb, including ingest DB data in the warehouse in various formats and frequency, and stream change data capture (CDC) at near real time
  • Be hands-on (code, design, test) and collaborate with cross team partners (internal customers, dependencies and leadership) to deliver on multi-month projects in a timely fashion
  • Raise operational standards by effectively and proactively identifying, debugging and fixing operational issues. Be part of the oncall rotation for the DBExports platform
  • Mentor junior engineers on the team

Preferred Qualifications

  • Experience with building large scale data exports/ingestion platforms
  • Experience with building large scale distributed databases
  • Experience with AWS and/or GCP
  • Experience working with SPARK, Kafka, Flink, K8s, Airflow, AWS Aurora or TiDB

Benefits

  • Bonus
  • Equity
  • Benefits
  • Employee Travel Credits

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