Data Eng. (contract)
Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in more than 100, 000 cities and towns located in 220+ countries and regions across the globe. Every day, Hosts offer unique stays and one-of-a-kind activities that make it possible for guests to experience the world in a more authentic, connected way.
Airbnb was born with a creative spirit, and it’s one of the most defining parts of our culture. We use our curiosity and imagination to come up with unconventional solutions. These are the ideas at the core of Airbnb:
• Our community is based on connection and belonging.
• Our creativity allows us to imagine new possibilities for people.
• Our responsibility is to all of our stakeholders.
• It takes a unified team committed to our core values to embody these ideas, and our fast-moving team is committed to leading as a 21st century company.
Responsibilities:
Develop ETL processes to move third-party data into Airbnb’s data warehouse from data providers and vendors’ products where colleagues in Policy engage in project management and government affairs activities.
Configure data to be loaded and/or visualized into other environments, with a focus Salesforce CRM instance, sandcastle apps, and micro-services built in hyper tooIs. Implement a refresh cadence for each source based on value and how often it’s updated.
Design, implement, and maintain data pipelines to connect Airbnb internal and external data. This foundational data set drives ML models that predict where legislative challenges/opportunities are likely to arise and the Airbnb users most likely to engage politically.
Partner with Policy technical peers, Biztech Engineering, and Data Science to expand Airbnb’s foundational policy data, connecting geospatial and core business metrics.
Requirements:
Expertise in data and analytics engineering and architecture.
Expertise in Python
Expertise in SQL.
Experience leveraging disparate data sets, in particular legislative/regulatory/economic/geospatial.
Expertise in transforming data to be leveraged for self-service data visualization resources.
Experience building and implementing ML models is a plus
Talent for breaking down complex technical concepts into common language and acting as a bridge between technical and departmental stakeholders.
Experience working with complex and big data systems across a multitude of relationships and metrics. Ability to apply a creative and nuanced perspective to look beyond common data indicators in order to meet business goals.
Ability to self-serve and take the initiative to find answers to technical questions.
Belonging & Accommodations:
Airbnb is committed to working with the best and brightest people from the broadest talent pool possible. We believe a diversity of ideas fosters innovation and engagement, and allows us to attract the best people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. If you need assistance, or reasonable accommodation during the application and recruiting process, please connect with your talent sourcing partner.
Pay Rate Range: $92-$107/hr
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Airbnb was born with a creative spirit, and it’s one of the most defining parts of our culture. We use our curiosity and imagination to come up with unconventional solutions. These are the ideas at the core of Airbnb:
• Our community is based on connection and belonging.
• Our creativity allows us to imagine new possibilities for people.
• Our responsibility is to all of our stakeholders.
• It takes a unified team committed to our core values to embody these ideas, and our fast-moving team is committed to leading as a 21st century company.
Responsibilities:
Develop ETL processes to move third-party data into Airbnb’s data warehouse from data providers and vendors’ products where colleagues in Policy engage in project management and government affairs activities.
Configure data to be loaded and/or visualized into other environments, with a focus Salesforce CRM instance, sandcastle apps, and micro-services built in hyper tooIs. Implement a refresh cadence for each source based on value and how often it’s updated.
Design, implement, and maintain data pipelines to connect Airbnb internal and external data. This foundational data set drives ML models that predict where legislative challenges/opportunities are likely to arise and the Airbnb users most likely to engage politically.
Partner with Policy technical peers, Biztech Engineering, and Data Science to expand Airbnb’s foundational policy data, connecting geospatial and core business metrics.
Requirements:
Expertise in data and analytics engineering and architecture.
Expertise in Python
Expertise in SQL.
Experience leveraging disparate data sets, in particular legislative/regulatory/economic/geospatial.
Expertise in transforming data to be leveraged for self-service data visualization resources.
Experience building and implementing ML models is a plus
Talent for breaking down complex technical concepts into common language and acting as a bridge between technical and departmental stakeholders.
Experience working with complex and big data systems across a multitude of relationships and metrics. Ability to apply a creative and nuanced perspective to look beyond common data indicators in order to meet business goals.
Ability to self-serve and take the initiative to find answers to technical questions.
Belonging & Accommodations:
Airbnb is committed to working with the best and brightest people from the broadest talent pool possible. We believe a diversity of ideas fosters innovation and engagement, and allows us to attract the best people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. If you need assistance, or reasonable accommodation during the application and recruiting process, please connect with your talent sourcing partner.
Pay Rate Range: $92-$107/hr
Apply tot his job
Apply To this Job