Foursquare is the leading independent location technology and data cloud platform, dedicated to building meaningful bridges between digital spaces and physical places. Our proprietary technology unlocks the most accurate, trustworthy location data in the world, empowering businesses to answer key questions, uncover hidden insights, improve customer experiences, and achieve better business outcomes. A pioneer of the geo-location space, Foursquare’s location tech stack is being utilized by the world’s largest enterprises and most recognizable brands.

Foursquare’s 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 (Unfolded Studio).

About the Team

Foursquare’s Visits team is responsible for inferring the real-world behaviors of millions of consumers every day. We write software and manage systems for performing geospatial analysis at scale and provide our inferences on time to internal and external customers. Foursquare’s Visits power location solutions for some of the world’s largest companies as well as Foursquare’s market-leading Targeting and Attribution products.

About the Role

Foursquare’s Visits team is interested in hiring an experienced data engineer to work on backend infrastructure and manage data pipelines. The engineer who fills this role will support and improve our data ingestion practices as well as internal pipeline architecture. In this role, you will be a key player at the foundation of Foursquare’s business, and in a position to make an outsized impact on the direction and success of Foursquare.

Responsibilities of the Role

• Design and write software in our data ecosystem, perform code review for teammates
• Work closely with our data scientists to support their analyses and help them bring their insights and improvements to production
• Recommend and implement improvements to our data model and design architecture. 
• Implement and maintain best practices for alerting (ie. PagerDuty) in regards to client/data issues.
• Mentor junior engineers.
• Communicate technical concepts with clarity to non-technical stakeholders

Qualifications

• 4 years of experience working as a data engineer
• Professional experience with Hadoop MapReduce or Spark
• Strong coding skills in Scala, Python, and/or Java
• A demonstrated track record of developing and managing big data pipelines
• Strong written and verbal communication skills

Nice to have

• Experience working with data orchestration services (ie. Airflow, Luigi)
• Experience working with Docker and Kubernetes
• Experience with geospatial data

Perks and benefits

• Learning and development programs from individual contributors to managers
• Individual, professional coaching for all full-time employees
• Flexible time off - rest and recharge when you need it!
• Comprehensive and competitive health, vision, dental, life insurance
• 401(k) with company match
• Home office setup: you get all necessary hardware and internet reimbursement 
• Family planning programs via Carrot and Maven
• Employee Resource Groups to help you stay connected

Foursquare is proud to foster an inclusive environment that is free from discrimination. We strongly believe in order to build the best products, we need a diversity of perspectives and backgrounds. This leads to a more delightful experience for our users and team members. We value listening to every voice and we encourage everyone to come be a part of building a company and products we love.

Foursquare is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other characteristic protected by law.