Himalayas logo
AirbnbAI

Staff Data Platform Engineer, Community Support Platform

Founded in August of 2008 and based in San Francisco, California, Airbnb is one of the world’s largest marketplaces for unique, authentic places to stay and things to do, offering over 7.

Airbnb

Employee count: 5000+

Salary: 204k-255k USD

United States only

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join:

Community Support Platform organization keeps our hosts and guests supported throughout the entire Airbnb experience. At its core, the CS Data Platform team provides the trusted data foundation and metrics for the most important data across offline and online consumption, empowering operations, analytics, engineering, product, and leadership teams with data they can trust.

The Difference You Will Make:

In order to ship data products (e.g. tables, metrics, dashboards, etc.), the team and data practitioners are transforming data generated from different sources (internal, external) with various internal frameworks and technologies with different guarantees, schema definition languages and processing modalities.

We’re looking for people who thrive at the intersection of platform and data engineering: combination of strong technical skills, creativity, and a passion for engaging with and empowering data practitioners and make it easier to deliver consistent, tested, and observable data—backed by automation and guardrails (CI/CD), data contracts, and robust monitoring.

A Typical Day:

  • Work closely with the core data engineering team, data services team, and other product engineering teams in the Community Support Platform, understanding their productivity and data authoring pain points, and build solutions to resolve them scalably and flexibly.
  • Deeply understand the different logging and data processing frameworks and collaborate with data infrastructure teams and evolve how we integrate data flows between different frameworks and serving layers worlds, ML and non-ML, and allow systems to deal with data more effectively
  • Own challenges end-to-end, proactively addressing gaps and acquiring new skills to resolve complex issues.
  • Mentor and inspire your teammates in enabling code quality, operational excellence, and shared learning.
  • Participate in all phases of software development from architecture/design through implementation, testing, and on-call.
  • Develop, automate and standardize: logging, enriching, serving data for ML training, inference, benchmarking and monitoring (anomaly detection, safe deploys) to build the next generation of Generative AI products
  • Enable data engineers and analytics engineers to author data products
  • Design, build, and maintain robust and efficient data pipelines and APIs that collect, process, and serve data from various sources, including backend events logged as part of LLM flows, customer interactions across multiple channels, CS agents, LLM evaluations etc.

Your Expertise:

  • 9+ years of industry experience at the intersection of platform data engineering and software engineering with BS, MS or PhD in CS or similar
  • Proven ability to not only developing data processing pipelines, but design guardrails and abstractions that scale—reducing toil and raising confidence for all engineers
  • Deep experience building distributed batch/streaming pipelines (e.g., Spark, Flink, Kafka) and working with distributed storage (e.g., HDFS, S3).
  • Expertise with ETL orchestration tools (Airflow, Luigi, AWS Glue, etc.).
  • Strong knowledge of data warehousing, relational databases (PostgreSQL, MySQL), and columnar stores (Redshift, BigQuery, ClickHouse, HBase).
  • Comfort driving architectural discussions across services, repositories, and environments.
  • Skilled in SQL and data processing (batch and streaming), with a track record of analyzing large datasets to uncover gaps and insights.
  • Excellent collaboration and communication skills; able to influence technical direction across teams.

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: reasonableaccommodations@airbnb.com. 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.

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range
$204,000$255,000 USD

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Mid-level
Senior

Salary

Salary: 204k-255k USD

Location requirements

Hiring timezones

United States +/- 0 hours

About Airbnb

Learn more about Airbnb and their company culture.

View company profile

Founded in August of 2008 and based in San Francisco, California, Airbnb is one of the world’s largest marketplaces for unique, authentic places to stay and things to do, offering over 7.4 million available listings of homes and experiences, all powered by local hosts.

An economic empowerment engine, Airbnb has helped millions of hospitality entrepreneurs monetize their spaces and their passions while keeping the financial benefits of tourism in their own communities. With more than 825 million guest arrivals to date, and accessible in 62 languages and dialects across 220 countries and regions, Airbnb promotes people-to-people connection, community and trust around the world.

Employee benefits

Learn about the employee benefits and perks provided at Airbnb.

View benefits

Life insurance

We'll cover your life insurance so you don't have to worry.

Work from anywhere

You can work from home or the office—whatever works best for you.

Equity benefits

Every employee gets equity, so you are rewarded for your best work.

Paid volunteer leave

Take a week per year on us to volunteer at a non profit that matters to you.

View Airbnb's employee benefits
Claim this profileAirbnb logoAI

Airbnb

View company profile

Similar remote jobs

Here are other jobs you might want to apply for.

View all remote jobs

15 remote jobs at Airbnb

Explore the variety of open remote roles at Airbnb, offering flexible work options across multiple disciplines and skill levels.

View all jobs at Airbnb

Remote companies like Airbnb

Find your next opportunity by exploring profiles of companies that are similar to Airbnb. Compare culture, benefits, and job openings on Himalayas.

View all companies

Find your dream job

Sign up now and join over 100,000 remote workers who receive personalized job alerts, curated job matches, and more for free!

Sign up
Himalayas profile for an example user named Frankie Sullivan
Airbnb hiring Staff Data Platform Engineer, Community Support Platform • Remote (Work from Home) | Himalayas