Staff Analytics Engineer, Data Stewardship

Salary

Pay Range: $243,000—$264,000 USD

Location

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity.

We are seeking a Staff Analytics Engineer to join the Data Stewardship team. As a Staff Analytics Engineer, you will work closely with our engineering, privacy, and information security partners to build strategies, programs, and tools to improve the quality, efficiency, and safety of Airbnb’s data. The Data Stewardship team is the ultimate host to Airbnb’s data: We drive responsible, yet powerful and efficient data use, we ensure data is trustworthy and easy to use, and we nurture a data-inspired culture.

As a Data Steward, you are passionate about efficient data management, privacy techniques, understanding the regulatory landscape, and helping teams create high quality data.

The Difference You Will Make:

As a Staff Analytics Engineer in the Data Stewardship team you will play a pivotal role in defining the vision, technical design, and implementation of systems that ensure the integrity, efficiency, and compliance of our organization's data across all business areas.

Your expertise in designing and implementing scalable systems will be essential in building a robust data infrastructure that safeguards user data and empowers decision-makers with valuable insights. As we navigate a continuously evolving regulatory landscape, your contribution will be vital in developing cutting-edge tools to maintain data integrity while unlocking the full potential of our data resources.

A Typical Day:

Develop high quality data assets for product and AI/ML use-cases
Develop frameworks and tools to scale insight generation to meet critical business and product requirements
Collaborate with cross-functional teams to gather requirements, assess data needs, and design efficient solutions that align with business objectives.
Contribute to the development of long-term data strategies and roadmaps, and influence the technical direction of analytics engineering practices within the organization.
Influence the trajectory of data in decision making
Improve trust in our data by championing for data quality across the stack
Identify opportunities for automation and implement data management tools and frameworks to enhance efficiency and productivity.
Stay up-to-date with evolving data protection regulations and industry trends, providing insights and recommendations for maintaining data quality, security, and privacy.
Mentor and coach team members, providing guidance and support to enhance their skills and performance.

Your Expertise:

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

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