| Description | Welcome to Fi.We’re a passionate team from Square Google Peloton Uber and more working to transform the dog-human relationship. Our mission? Develop cutting-edge technology to revolutionize what it means to be a dog parent. The dog industry remains firmly stuck in the past and we are here to change that. Fi is leveraging our team's talent and expertise to improve the lives of the millions of dogs in the U.S. Real-time location tracking activity sleep and behavior monitoring – and that's just the beginning.The most exciting aspect of our work? Bridging the communication gap between dogs and humans. Imagine a world where everyone knows how their dog feels in real time and how to keep their best friend in good shape. That's the future we're building at Fi.If you're someone who thrives in innovative collaborative work environments and feels strongly about helping dogs live longer better lives Fi could be the perfect fit. Join us in our pursuit of the “impossible” or as we call it here “let me find a way” to redefine the future of dog ownership together.Fi is Looking for a Staff Data Engineer!At Fi we’re redefining the way humans connect with their dogs through cutting-edge technology. As our Staff Data Engineer you’ll play a critical role in building the data infrastructure that powers our next-generation wearable devices. You’ll work on high-scale high-impact data systems that drive real-time insights machine learning models and analytics—helping us shape the future of connected pet technology. ➡ What You’ll Do: ➡ Own the data foundation: Design and execute scalable high-performance data infrastructure that supports Fi’s growing data needs.Build from the ground up: Develop and maintain robust data warehouses and/or data lakes leveraging the latest advancements in wearable technology.Develop seamless data pipelines: Design build and optimize ETL/ELT processes to ensure data quality reliability and accessibility.Power machine learning at scale: Work closely with the ML team to develop data pipelines for batch and real-time inference models.Enable research and analytics: Interface with research teams to understand data needs provide subject matter expertise and optimize data models for better performance and insights. What You Bring: ➡ Experience: 4+ years of professional data engineering experience.Technical expertise: Proficiency in Python and SQL. Strong knowledge of data modeling ETL and distributed systems.Cloud & big data tools: Experience with AWS (or similar) Databricks Apache SparkCollaboration & communication: Ability to work cross-functionally with research ML and engineering teams to drive data-driven decision-making. Bonus Points If You Have: ➡ Experience building data solutions from the ground up especially at a fast-paced startup.Domain knowledge of wearable tech and/or signal processing.Experience with AWS Lambda S3 SQS DynamoDBExperience with streaming data (Kafka Kinesis or similar) is a plusWorking knowledge of pandas numpy or python ML librariesWorked with geospatial data pipelines & visualization Why You'll Love Us: ➡ Time to Recharge: Enjoy flexible PTO to take the breaks you need.Top-Notch Health Coverage: We’ve got your back (and teeth and eyes) with full medical dental and vision insurance.Wellness Perks: Free access to One Medical Kindbody and Talkspace to keep you feeling your best.Give Back to the Pups: Make tails wag with a $500 annual donation to a dog charity of your choice through our BarkBack Program.Free Fi Membership: Your furry best friend(s) get all the benefits of a Fi collar on us!Love for Friends + Family: Share the Fi magic with loved ones through our gifting program. ➡ Fi is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race color sex religion sexual orientation national origin disability genetic information pregnancy or any other protected characteristic as outlined by federal state or local laws. This policy applies to all employment practices within our organization including hiring promotion termination layoff recall leave of absence compensation benefits training and apprenticeship. Fi makes hiring decisions based solely on qualifications merit and our needs at the time. |