Senior Data Engineer, BizTech

🔥 1 hour ago

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Airbnb

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2007

✈️ Travel

📦 Logistics

🛍️ eCommerce

💰 Post-IPO Equity on 2020-12

Travel • Logistics • eCommerce

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

• Lead the design, implementation, and testing of data systems, from architecture to production. • Build batch and real-time data systems that support business needs and critical products. • Ensure data systems' quality, performance, and stability through rigorous monitoring and quality assurance practices. • Design and optimize data models to efficiently meet business and product requirements. • Collaborate with cross-functional teams, including product managers, data scientists, and engineers, to develop scalable systems and drive data-driven decisions. • Maintain strong partnerships with backend, data science, and machine learning teams to ensure seamless integration of data systems. • Contribute to long-term data strategies and influence data engineering practices across the organization. • Mentor and guide team members, fostering best practices for data quality and governance. • Advance 3rd party data integrations, enhancing frameworks for data exchange, governance, and lineage.

🎯 Requirements

• 9+ years of relevant experience with a Bachelor's/Master’s degree in CS/EE (or 6+ years with a PhD). • Extensive experience in designing, building, and operating distributed data platforms (e.g., Spark, Kafka, Flink) at a large scale. • Proficiency in Java, Scala, or Python, along with strong skills in data processing and SQL querying. • Proven track record of designing and optimizing 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, with a focus on data quality, governance, and system reliability. • Excellent written and verbal communication, with the ability to influence stakeholders and convey complex technical concepts. • Expertise in data modeling, warehousing, and working with relational and columnar databases (e.g., PostgreSQL, MySQL, Redshift, BigQuery). • Experience with integrating machine learning models into data systems (preferred). • Strong leadership and mentorship capabilities, with experience guiding teams on best practices and technical strategies. • Flexible and innovative, with the ability to adopt new technologies to enhance data systems and processes.

🏖️ Benefits

• N/A