Full-Time

Staff Data Engineer

Posted on 6/24/2024

Airbnb

Airbnb

10,001+ employees

Online marketplace for lodging and experiences

Government & Public Sector
Real Estate

Compensation Overview

$204k - $259kAnnually

+ Bonus + Equity + Benefits + Employee Travel Credits

Senior, Expert

Company Historically Provides H1B Sponsorship

United States

Must live in a state where Airbnb, Inc. has a registered entity; occasional in-office work may be required.

Category
Data Engineering
Data & Analytics
Required Skills
Redshift
Python
MySQL
Apache Flink
Data Science
BigQuery
Apache Spark
SQL
Apache Kafka
Java
Postgres
Data Analysis
Requirements
  • 9+ years of relevant industry experience with a Bachelor’s and/or Master’s degree in CS/EE, or equivalent experience, or 6+ years of experience with a PhD
  • Extensive experience designing, building, and operating robust distributed data platforms (e.g., Spark, Kafka, Flink, HBase) and handling data at the petabyte scale.
  • Strong knowledge of Java, Scala, or Python, and expertise with data processing technologies and query authoring (SQL).
  • Proven ability to design, productionize, and optimize batch and real-time data pipelines and systems, ensuring their quality, performance, and stability.
  • Excellent ability to collaborate with cross-functional teams, including product managers, engineers, data scientists, and business partners, to align on requirements and drive data-driven decision-making.
  • Advanced analytical and problem-solving skills with a focus on data quality, governance, and system reliability.
  • Exceptional written and verbal communication skills, capable of influencing stakeholders and conveying complex technical concepts effectively.
  • Expertise in data modeling, warehousing, and working with relational (e.g., PostgreSQL, MySQL) and columnar databases (e.g., Redshift, BigQuery).
  • Experience working with machine learning engineers to integrate ML models into data systems and products (preferred but optional).
  • Ability to provide technical leadership and mentorship, guiding teams on best practices and contributing to the development of data engineering strategies.
  • Flexibility and innovative thinking to evaluate and incorporate new technologies and methodologies to improve data processes and solutions.
Responsibilities
  • Architect and productionize batch and real-time data systems to support various products and business needs.
  • Ensure the quality, performance, and stability of data systems through robust quality systems and monitoring practices.
  • Design and optimize data models for efficient storage and retrieval to meet critical product and business requirements.
  • Collaborate with cross-functional teams, including product managers, engineers, data scientists, and business partners, to align on data requirements and develop scalable systems.
  • Tune, productionize, and optimize data systems and machine learning models to enhance their effectiveness and efficiency.
  • Build and maintain strong relationships with partner engineering teams, including backend, client, data science, and ML teams, to ensure seamless integration and support.
  • Contribute to the development of long-term data strategies and roadmaps, and influence the technical direction of data engineering practices within the organization.
  • Mentor and coach team members, providing guidance and support to enhance their skills and performance.

Airbnb operates an online marketplace that connects travelers with hosts offering lodging and unique tourism experiences. The platform allows hosts to list their properties, which can range from single rooms to entire homes, enabling guests to book accommodations that provide a more authentic local experience. Airbnb earns revenue through a commission system, taking a percentage from each booking made on its platform. With a presence in nearly every country, Airbnb has facilitated over 1.5 billion guest arrivals through a network of more than 5 million hosts. Additionally, the platform offers various local experiences organized by hosts, allowing guests to engage in activities that enhance their travel adventures.

Company Stage

IPO

Total Funding

$3.7B

Headquarters

San Francisco, California

Founded

2007

Growth & Insights
Headcount

6 month growth

2%

1 year growth

0%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Growing demand for eco-friendly travel aligns with Airbnb's promotion of sustainable listings.
  • AI integration can enhance guest experiences and streamline Airbnb's operations.
  • Remote work trends increase demand for long-term stays, benefiting Airbnb's flexible offerings.

What critics are saying

  • Legal scrutiny in Spain may lead to fines or operational restrictions for Airbnb.
  • Departure of key legal executive could impact Airbnb's legal strategy and operations.
  • Pressure to innovate with AI and AR could challenge Airbnb's competitive edge.

What makes Airbnb unique

  • Airbnb offers unique stays and experiences, setting it apart from traditional hotels.
  • The platform's global reach allows access to diverse and authentic local accommodations.
  • Airbnb's commission-based model incentivizes hosts to list a wide range of properties.

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Benefits

Comprehensive health plans

Paid volunteer time

Healthy food and snacks

Generous parental and family leave

Learning and development

Annual travel and experiences credit

INACTIVE