Senior Staff Data Engineer - Marketplaces DNA

Airbnb • USA

Company

Airbnb

Location

USA

Type

Full Time

Job Description

The Community You Will Join:

Marketplaces Data and AI is a group of passionate machine learning software data and analytics engineers. We are responsible for developing new cutting-edge AI and data products that leverage Airbnb’s massive datasets across Users Listings Pricing and Supply/Demand. You will be a crucial part of the Guest and Host organization building the intelligence that powers the web and native apps used by hundreds of millions of guests and hosts globally.

The Difference You Will Make:

You will own some of the most critical data at Airbnb including Users Listings and Marketplaces. You will help uplevel Data Engineering practice and foundation while partnering with partner and infra teams to ship data products and ML models. This is a unique opportunity to shape how we develop data products for not just the Users Listings and Marketplaces team but also across Airbnb.

You will play a major role in how data is integrated into our Guest and Host products by

  • understanding the business and product need

  • aligning with software engineers ml engineers and data scientist on data flow designing the foundational data models and uplevel critical data sources

  • building scalable data architectures that push the boundaries on latency and volume of data

A Typical Day:

We are in the middle of tremendous growth and transformation in the data domain with significant investments into intelligent products powered by Machine Learning. We are seeking product oriented Senior Staff Data Engineers to drive entity models across Users Listings and Marketplace and product initiatives across Quality Merchandising and Supply growth.

  • 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.

Your Expertise:

  • 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.

Your 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. Click here for the up-to-date list of excluded states. This list is continuously evolving so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity your recruiter will inform you what states you are eligible to work from.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement and allow us to attract creatively-led people and to develop the best products services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application please contact us at: [email protected] . Please include your full name the role you’re applying for and the accommodation necessary to assist you with the recruiting process.

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

Apply Now

Date Posted

12/13/2025

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