Airbnb
About this role
Airbnb's BizTech group builds and runs the internal corporate technology the company itself works on, and this is the senior data engineering seat inside it. The requirement is unusual and worth reading precisely: 9 or more years of relevant experience with a Bachelor's or Master's in Computer Science or Electrical Engineering, or 6 or more years with a PhD. That is a rare case of a posting stating its own tradeoff between education and years explicitly, and it lowers the bar meaningfully for anyone with a doctorate. The work is designing, building and operating distributed data platforms at large scale, with Spark, Kafka and Flink named directly, in Java, Scala or Python with strong SQL. Both batch and real time pipelines are in scope, and the posting asks for a proven track record of designing and optimising them rather than only maintaining what exists.
Who this is for
What the posting requires:
- 9+ years of relevant experience with a Bachelor's or Master's degree in Computer Science or Electrical Engineering, or 6+ years with a PhD. The posting states this tradeoff explicitly, which is unusual and worth noting if you hold a doctorate.
- Extensive experience designing, building and operating distributed data platforms at large scale, with Spark, Kafka and Flink named.
- Proficiency in Java, Scala or Python, along with strong data processing and SQL querying skills.
- A proven track record of designing and optimising both batch and real time data pipelines.
- Strong collaboration skills, with the ability to work with product managers, data scientists and engineers.
- Advanced problem solving and analytical skills.
What the work actually looks like:
- Design, build and operate the distributed data platforms that Airbnb's internal business technology runs on.
- Build and optimise batch and real time pipelines feeding analytics and operational systems.
- Partner with product managers, data scientists and engineers across the BizTech organisation.
About the team: BizTech provides reliable corporate tools, products and technical support for teams across Airbnb, and describes its purpose as driving technical breakthroughs that deliver value for the business and its people. It is internal platform work rather than guest or host facing product.
Location and working pattern: Bangalore, India. This is the Bangalore based role. Airbnb does list some genuinely remote India positions in other teams, but this posting is location based, so do not assume remote.
Honest fit guidance: the PhD clause is the detail most people will skim past, and it materially changes who should apply. At 9 years without one, or 6 with one, this is a senior individual contributor data engineering role at a company whose data volumes are genuinely large. The named technologies are conventional for the discipline, so the differentiator in an application will be evidence of having operated these platforms in production rather than only built on top of them.
- 9+ years of relevant experience with a Bachelor's or Master's degree in Computer Science or Electrical Engineering, or 6+ years with a PhD. The posting states this tradeoff explicitly, which is unusual and worth noting if you hold a doctorate.
- Extensive experience designing, building and operating distributed data platforms at large scale, with Spark, Kafka and Flink named.
- Proficiency in Java, Scala or Python, along with strong data processing and SQL querying skills.
- A proven track record of designing and optimising both batch and real time data pipelines.
- Strong collaboration skills, with the ability to work with product managers, data scientists and engineers.
- Advanced problem solving and analytical skills.
What the work actually looks like:
- Design, build and operate the distributed data platforms that Airbnb's internal business technology runs on.
- Build and optimise batch and real time pipelines feeding analytics and operational systems.
- Partner with product managers, data scientists and engineers across the BizTech organisation.
About the team: BizTech provides reliable corporate tools, products and technical support for teams across Airbnb, and describes its purpose as driving technical breakthroughs that deliver value for the business and its people. It is internal platform work rather than guest or host facing product.
Location and working pattern: Bangalore, India. This is the Bangalore based role. Airbnb does list some genuinely remote India positions in other teams, but this posting is location based, so do not assume remote.
Honest fit guidance: the PhD clause is the detail most people will skim past, and it materially changes who should apply. At 9 years without one, or 6 with one, this is a senior individual contributor data engineering role at a company whose data volumes are genuinely large. The named technologies are conventional for the discipline, so the differentiator in an application will be evidence of having operated these platforms in production rather than only built on top of them.
Apply on company site
Opens careers.airbnb.com, the employer's own application page. Applying is always free.