Key Data Engineer for Location Technology and Data Cloud

6 days ago


Seattle, Washington, United States Foursquare Full time
About Foursquare

Foursquare is a pioneering location technology and data cloud platform, dedicated to building meaningful connections between digital spaces and physical places. Our proprietary technology unlocks the most accurate and trustworthy location data in the world, empowering businesses to answer key questions, uncover hidden insights, improve customer experiences, and achieve better business outcomes.

Our flexible building blocks include technology to maximize marketing impact and drive incremental real-world engagement (Attribution, Audience, Proximity, SDK); data to deeply understand points of interest and real-world behavior patterns (Places and Visits), and tools to conduct advanced analysis, data enrichment, unification, and visualization (Studio).

Learn More at Location.foursquare.com

About the Position

We are seeking a highly skilled Senior Data Engineer to join our team while based in or around our office hub in Seattle or New York.

Data Engineers at Foursquare have a unique opportunity to combine large-scale first- and third-party geospatial datasets with other data (transactions, ad impressions, and more) to derive actionable business insights. We do so by combining unique datasets with proprietary algorithms and/or models while leveraging numerous compute platforms (hyperscalers and emerging geospatial compute platforms).

In this role, you'll work closely with data scientists to productionize ML models, design, implement, and maintain data pipelines that process billions of impressions, visits, and transactions per day. You'll build new features by working directly with customer-facing teams, work effectively with a high degree of autonomy within a collaborative team, and more.

What You'll Need
  • 8+ years of experience in building large-scale data pipelines using Spark.
  • Hands-on experience with orchestration technologies such as Airflow.
  • Working knowledge of open table formats such as Delta, Iceberg, or Hudi.
  • Experience working with data warehousing solutions such as Snowflake or Redshift.
  • Proficient in SQL.
  • Experience designing and deploying high-performance systems with reliable monitoring and logging practices.
  • Experience in optimizing and troubleshooting complex data pipelines.
  • Excellent communication and collaboration skills.


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