Senior Data Engineer

airbnb, Inc.; United States; Remote; USD 80,000 - 150,000; Full time

Job summary

Join a forward-thinking company that is revolutionizing the travel industry! This remote position offers a unique opportunity to work with cutting-edge data technologies and contribute to impactful projects. You will design and maintain data pipelines, ensuring data quality and consistency while collaborating with cross-functional teams. With a commitment to diversity and inclusion, this innovative firm encourages talented individuals from all backgrounds to apply. Enjoy a supportive work environment where your contributions will help shape the future of travel experiences for millions of guests worldwide.

Benefits

Bonus

Equity

Employee Travel Credits

Benefits

Qualifications

• 5-9+ years of experience with a BS/Masters or 2+ years with a PhD.
• Experience with distributed processing technologies and frameworks.

Responsibilities

• Design and maintain robust data pipelines to collect and process data.
• Collaborate with teams to define data requirements and deliver solutions.

Skills

Data Analysis

Distributed Processing Technologies

Data Pipeline Development

ETL Scheduling

Data Warehousing

Communication Skills

Education

Bachelor's Degree

Master's Degree

PhD

Tools

Hadoop

Spark

Kafka

Apache Airflow

Job description

Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 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:

We are currently hiring for the following teams:

1. Marketing Technology: Our mission is to provide a state-of-the-art platform and measurement capabilities to enable marketing and product teams to engage with our customers effectively. Everyday millions of Airbnb customers are reached via our streamlined platform over comprehensive channels, such as Email, Push, SMS, and external Ads Platforms (e.g., Google, Facebook, etc).
2. Payments: We are building a world-class payments platform — one that currently supports 190+ countries and regions, 70+ currencies, connects dozens of payment providers and banks, and processes multiple billions of dollars.
3. Marketplaces & Intelligence Data & AI: The team provides rich, high-quality data assets to power insights that enable Airbnb and our hosts to be competitive in our marketplaces.

The Difference You Will Make:

1. Marketing Technology: Our data engineering team provides a state-of-the-art platform with measurement capabilities to enable marketing and product teams to engage with our customers effectively.
2. Payments: As Airbnb expands its presence, it faces challenges in managing data, deriving insights, and creating data-powered products.
3. Marketplaces & Intelligence Data & AI: You will work in a team of engineers to build foundational data sets that power insights for the company and our host community.

A Typical Day:

1. Design, build, and maintain robust and efficient data pipelines that collect, process, and store data from various sources.
2. Develop data models that enable efficient analysis and manipulation of data for merchandising optimization.
3. Ensure data quality, consistency, and accuracy.
4. Build scalable data pipelines (SparkSQL & Scala) leveraging Airflow scheduler/executor framework.
5. Collaborate with cross-functional teams to define data requirements and deliver data solutions.
6. Contribute to the broader Data Engineering community at Airbnb.
7. Improve code and data quality by leveraging and contributing to internal tools.

Your Expertise:

1. 5-9+ years of relevant industry experience with a BS/Masters, or 2+ years with a PhD.
2. Experience with distributed processing technologies and frameworks, such as Hadoop, Spark, Kafka.
3. Demonstrated ability to analyze large data sets and provide insights.
4. Expertise with ETL schedulers such as Apache Airflow, Luigi, Oozie.
5. Solid understanding of data warehousing concepts and hands-on experience with relational and columnar databases.
6. Excellent written and verbal communication skills.

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.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the best and brightest people from the broadest talent pool possible. All qualified individuals are encouraged to apply.

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. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.