Senior Staff Data Engineer, Marketplaces DNA

🕒 March 4

🇺🇸 United States – Remote

💵 $244k - $305k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

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Logo of Airbnb

Airbnb

5001 - 10000 employees

Founded 2007

👥 B2C

🛍️ eCommerce

💰 Post-IPO Equity on 2020-12

B2C • eCommerce • Hospitality

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.

📋 Description

• Develop and automate large scale, high-performance batch and streaming data processing systems to power Airbnb’s Guest and Host products, machine learning models, and business insights. • Partner closely with infra teams to improve scalability, data governance, and efficiency • Evangelize high quality software engineering practices towards building data infrastructure and pipelines at scale, collaborate with infrastructure teams to streamline best practices. • Advocate for high bar for data and engineering quality ensure eng deliverables are reliable, efficient, well documented, testable, & maintainable. • Design our data models for optimal storage and understanding, with thoughtful dataflows to power critical product and business requirements.

🎯 Requirements

• 12+ years of relevant industry experience with a Bachelor’s and/or Master’s degree in CS/EE, or equivalent experience, or 9+ years of experience with a PhD • Experience collaborating with client, backend, ml, analytics teams, product and business partners • Experience designing and deploying high performance systems with reliable monitoring and logging practices. • Effectively work across team boundaries to establish overarching data architecture, data flow, and provide guidance to individual teams. • Strong knowledge of relational databases and query authoring (SQL). • Strong expertise with Java / Scala / Spark and operating on data at the petabyte scale. • Excellent communication skills, both written and verbal.

🏖️ Benefits

• bonuses • equity • Employee Travel Credits

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