Staff Data Engineer - Host Pricing & Settings

March 18

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Logo of Airbnb

Airbnb

Airbnb is a global online marketplace that connects people looking for accommodation with hosts offering unique and diverse lodging options, often in residential properties. Users can book spaces ranging from one-bedroom apartments to entire homes and boutique hotels. Airbnb also offers experiences, allowing guests to book activities hosted by locals, providing an authentic travel experience.

travel accommodations β€’ collaborative economy β€’ hospitality

5001 - 10000 employees

Founded 2007

πŸ‘₯ B2C

πŸ›οΈ eCommerce

πŸ’° Post-IPO Equity on 2020-12

πŸ“‹ Description

β€’ Design and implement data pipelines by leveraging best-in-class tools and infrastructure to meet critical business and product requirements. β€’ Develop high quality data assets for product and AI/ML use-cases β€’ Collaborate with cross-functional teams to gather requirements, assess data needs, and design efficient solutions that align with business objectives. β€’ Contribute to the development of long-term data strategies and roadmaps and ML infrastructure development within the organization. β€’ Influence the trajectory of data in decision making β€’ Improve trust in our data by championing for data quality across the stack β€’ Identify and actively work upon opportunities for automation and implement data management tools and frameworks to enhance efficiency and productivity. β€’ Mentor and coach team members, providing guidance in data engineering best practices and support to enhance their skills and performance.

🎯 Requirements

β€’ 9+ years of experience with a BS/Masters or 6+ years with a PhD β€’ Expertise in SQL and proficient in at least one data engineering language, such as Python or Scala β€’ Experience with Superset and Tableau β€’ Expertise in large-scale distributed data processing frameworks like Presto or Spark β€’ Experience with an ETL framework like Airflow β€’ Extensive knowledge of data management concepts, including data modeling, ETL processes, data warehousing, and data governance. β€’ Understanding of data security and privacy principles, as well as regulatory compliance requirements (e.g., GDPR, CCPA). β€’ Strong problem-solving skills and the ability to translate business requirements into technical solutions. β€’ Excellent communication skills, both written and verbal, ability to distill complex ideas for technical and non-technical stakeholders β€’ Strong capability to forge trusted partnerships across working teams

πŸ–οΈ Benefits

β€’ Bonus, equity, benefits, and Employee Travel Credits.

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March 14

Staff Software Engineer at Home Depot leading a team to create customer-oriented software solutions.

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