Staff Data Platform Engineer, Airbnb
Community Support Platform
$204-255k
More information about location
Community marketplace for holiday accomodation
Open for applications
Community marketplace for holiday accomodation
1001+ employees
Open for applications
$204-255k
More information about location
1001+ employees
Company mission
To create a world where anyone can belong anywhere.
Role
Who you are
- 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
- 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
What the job involves
- 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
- 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
- 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
Our take
When Airbnb was originally founded, the product helped customers book air mattresses on people's apartment floors. Since then, Airbnb has had over a billion customers hosted through its platform. With more than 4 million registered hosts worldwide, it has grown into a major player in the hospitality sector.
Airbnb has been successful in disrupting the traditional holiday lettings sector. Before it existed accommodation was limited to hotels and bed and breakfasts, but Airbnb has mainstreamed the idea of renting out spare rooms or even entire homes. It has created a new sector of hosts purchasing properties to rent out on the platform and provides a level of flexibility and a range of offerings not previously possible for travelers.
Perhaps a victim of its own success, by 2022 supply of Airbnb-listed properties began to outstrip demand in some markets, as hosts overestimated the appetite for domestic travel. However, the company is still posting strong financials and has unveiled new tools to support its hosts in a tougher rental market. With a healthy bottom line and a huge user base, Airbnb is very likely to overcome the current market turbulence and continue its growth.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
25% employee growth in 12 months
Company
Funding (last 2 of 10 rounds)
Apr 2020
$500m
GROWTH EQUITY VC
Mar 2017
$447.8m
SERIES F
Total funding: $3.8bn
Company benefits
- Paid volunteer time
- Health food and snacks
- Generous parental and family leave
- Learning and development
- Annual travel and experiences credit
Company HQ
Showplace Square, San Francisco, CA
Leadership
Brian Chesky
(Co-Founder & CEO)Previously an Industrial Designer, studying at Rhode Island School of Design.
Nathan Blecharczyk
(Co-Founder & CSO)Studied Computer Science at Harvard, and had around 4 years of professional Software Engineering experience before founding Airbnb, including interning at Microsoft.
Joe Gebbia
(Co-Founder)Also studied Industrial Design at Rhode Island, and previously founded various design-related startups
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