Senior Data Engineer, Marketing Technology - Unlock the Power of Data-Driven Marketing
Job Overview:
Join our innovative Marketing Technology team at Airbnb as a Senior Data Engineer, where you will play a crucial role in designing, building, and maintaining robust data pipelines that drive business growth and inform strategic decisions. With a competitive salary range of $185,000 - $223,000 USD and the opportunity to work remotely, this is an exciting chance to leverage your expertise and make a significant impact.
About the Team:
Our Marketing Technology team is dedicated to providing a state-of-the-art platform and measurement capabilities to enable marketing and product teams to engage with customers effectively. We deliver substantial business impact by supporting numerous stakeholders across the company, including Marketing, Guest/Host, Policy, and more. As a Senior Data Engineer, you will be part of a talented team that is passionate about using data to drive innovation and growth.
Key Responsibilities:
Design, build, and maintain efficient data pipelines that collect, process, and store data from various sources, including user interactions, listing details, and external data feeds.
Develop data models that enable efficient analysis and manipulation of data for merchandising optimization, ensuring data quality, consistency, and accuracy.
Build scalable data pipelines using SparkSQL, Scala, and Airflow scheduler/executor framework.
Collaborate with cross-functional teams, including Data Scientists, Product Managers, and Software Engineers, to define data requirements and deliver data solutions that drive business improvements.
Contribute to the broader Data Engineering community at Airbnb to influence tooling and standards, improving culture and productivity.
Improve code and data quality by leveraging and contributing to internal tools to automatically detect and mitigate issues.
Requirements:
5-9+ years of relevant industry experience with a BS/Masters, or 2+ years with a PhD.
Experience with distributed processing technologies and frameworks, such as Hadoop, Spark, Kafka, and distributed storage systems (e.g., HDFS, S3).
Demonstrated ability to analyze large data sets, identify gaps and inconsistencies, and provide data insights to advance effective product solutions.
Expertise with ETL schedulers such as Apache Airflow, Luigi, Oozie, AWS Glue, or similar frameworks.
Solid understanding of data warehousing concepts and hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and columnar databases (e.g., Redshift, BigQuery, HBase, ClickHouse).
Excellent written and verbal communication skills.
What We Offer:
Competitive salary range of $185,000 - $223,000 USD.
Remote work eligibility (US-based).
Opportunities for professional growth and development.
Collaborative and dynamic work environment.
Access to cutting-edge technologies and tools.
Employee Travel Credits and other benefits.
How to Apply:
If you are a motivated and talented Data Engineer looking to make a significant impact, please submit your application. We are committed to working with the best and brightest people from the broadest talent pool possible and look forward to hearing from you.
Apply Now
Apply Now
Join our innovative Marketing Technology team at Airbnb as a Senior Data Engineer, where you will play a crucial role in designing, building, and maintaining robust data pipelines that drive business growth and inform strategic decisions. With a competitive salary range of $185,000 - $223,000 USD and the opportunity to work remotely, this is an exciting chance to leverage your expertise and make a significant impact.
About the Team:
Our Marketing Technology team is dedicated to providing a state-of-the-art platform and measurement capabilities to enable marketing and product teams to engage with customers effectively. We deliver substantial business impact by supporting numerous stakeholders across the company, including Marketing, Guest/Host, Policy, and more. As a Senior Data Engineer, you will be part of a talented team that is passionate about using data to drive innovation and growth.
Key Responsibilities:
Design, build, and maintain efficient data pipelines that collect, process, and store data from various sources, including user interactions, listing details, and external data feeds.
Develop data models that enable efficient analysis and manipulation of data for merchandising optimization, ensuring data quality, consistency, and accuracy.
Build scalable data pipelines using SparkSQL, Scala, and Airflow scheduler/executor framework.
Collaborate with cross-functional teams, including Data Scientists, Product Managers, and Software Engineers, to define data requirements and deliver data solutions that drive business improvements.
Contribute to the broader Data Engineering community at Airbnb to influence tooling and standards, improving culture and productivity.
Improve code and data quality by leveraging and contributing to internal tools to automatically detect and mitigate issues.
Requirements:
5-9+ years of relevant industry experience with a BS/Masters, or 2+ years with a PhD.
Experience with distributed processing technologies and frameworks, such as Hadoop, Spark, Kafka, and distributed storage systems (e.g., HDFS, S3).
Demonstrated ability to analyze large data sets, identify gaps and inconsistencies, and provide data insights to advance effective product solutions.
Expertise with ETL schedulers such as Apache Airflow, Luigi, Oozie, AWS Glue, or similar frameworks.
Solid understanding of data warehousing concepts and hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and columnar databases (e.g., Redshift, BigQuery, HBase, ClickHouse).
Excellent written and verbal communication skills.
What We Offer:
Competitive salary range of $185,000 - $223,000 USD.
Remote work eligibility (US-based).
Opportunities for professional growth and development.
Collaborative and dynamic work environment.
Access to cutting-edge technologies and tools.
Employee Travel Credits and other benefits.
How to Apply:
If you are a motivated and talented Data Engineer looking to make a significant impact, please submit your application. We are committed to working with the best and brightest people from the broadest talent pool possible and look forward to hearing from you.
Apply Now
Apply Now