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Urgent! Data Engineer Job Opening In New York – Now Hiring Foursquare



Job description

About Foursquare

Foursquare is the leading independent location technology and data cloud platform, helping businesses connect the digital and physical worlds with precision and purpose.

Our products power everything from market analytics to targeted experiences, relied on by some of the world’s most iconic brands.


But what makes Foursquare truly special is how we work.

We're a team of builders, problem-solvers, and collaborators who care deeply about impact – both in the products we ship and the way we show up for each other.

Great outcomes come from strong collaboration and shared ownership, and we believe growth happens through real challenges – whether that’s leveling up a skill, tackling unfamiliar problems, or pushing a project forward in a new way.

If you're excited by cutting-edge tech and a culture that values both autonomy and teamwork, you’ll thrive here.


About the Position


Foursquare is looking for a Data Engineer to join our team in our New York office; on a hybrid schedule of Tuesday, Wednesday, Thursday in office.


As a data engineer on the Places team, you will contribute to the platform services and pipelines that facilitate large-scale data ingestion and governance.

You will ship software with high visibility and of strategic importance to Foursquare, directly impacting revenue and the experience of our customers and Open Source community.

You will focus on implementing and productionization of our ML models, working closely with our Data Science team to improve model performance and scalability.


The Places team owns all components of our places dataset: from ingestion and data expansion, to delivery mechanisms like our APIs. We own and iterate on the core building blocks of our customer and Open Source Places Product offering, which lays the foundation for Fourquare’s other products and services.


Our engineering organization has transitioned to a performance system that prioritizes experience, skills, and impact over traditional hierarchy. By simplifying titles and focusing on market-based levels, we aim to cultivate a high-performing, team-based environment where collaboration and innovation are at the heart of everything we do.

While our titles no longer include conventional levels like 'Senior' or 'Director,' we expect all members of our Engineering organization to embrace principled thinking and truth-seeking as we work together to pursue the best ideas and solutions for our business.


We understand that this philosophy may not be for everyone, but we'd love for you to apply if this collaborative way of working resonates with you.


In this role you’ll



  • Influence key decisions on architecture and implementation of scalable, automated data processing workflows

  • Build big data processing pipelines using Spark and Airflow

  • Focus on performance, throughput, and latency, and drive these throughout our architecture

  • Write test automation, conduct code reviews, and take end-to-end ownership of deployments to production

  • Write, deploy, and monitor services for data access by systems across our infrastructure

  • Participate in on-call rotation duties

  • Act as a force multiplier, conducting code reviews, and coordinating cross-team efforts

  • Implement and advocate for best practices in testing, code quality, and CI/CD pipelines


What you’ll need



  • BS/BA in a technical field such as computer science or equivalent experience.

  • 3+ years of experience in software development, working with production-level code.

  • Proficiency in one or more of the programming languages we use: Python, Java or Scala

  • Excellent communication skills, including the ability to identify and communicate data-driven insights.

  • Self-driven and feel comfortable learning without much hand-holding

  • Eagerness to learn new technologies

  • Your own unique talents! If you don’t meet 100% of the qualifications outlined above, we encourage and welcome you to still apply!


Our Tech Stack



  • Languages: Java, Scala, Python

  • Tools for pipeline orchestration: Airflow, Luigi

  • Data Processing Frameworks: Spark, MapReduce, Scalding


Benefits and Perks



  • Flexible PTO – take the time you need to rest and recharge

  • Comprehensive healthcare – industry-competitive medical, dental, vision, and life insurance

  • 401(k) with company match – invest in your future with support from Foursquare

  • Family planning support – access fertility and family-building programs through Carrot

  • Growth Investment Program – funding and resources to support your personal and professional development

  • Tech setup – we’ll provide a company laptop and the essentials to help you get up and running smoothly


At Foursquare, we’re committed to offering competitive pay and benefits that reflect market standards and the unique strengths each candidate brings.

Actual compensation is based on a variety of factors, including skills, experience, and office location.

We also regularly review our compensation practices to ensure fairness, equity, and alignment with evolving market trends.


The estimated annual total cash compensation range for this role is $140,000 - $190,000. While final offers may vary slightly based on individual qualifications, we aim to stay within this published range to support pay equity and transparency across the organization.


Salary is just one part of our total compensation package, which also includes restricted stock units, comprehensive health insurance options, and a wide range of benefits.


Things to Know


Foursquare is proud to foster an inclusive environment, free from discrimination.

We believe that building the best products starts with bringing together diverse perspectives and backgrounds — it’s how we create better experiences for both our users and our team.

We value every voice, and we encourage you to be 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.



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Required Skill Profession

Computer Occupations



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