Staff Data Engineer

Fi
Summary
Join Fi, a passionate team revolutionizing the dog-human relationship through cutting-edge technology, as a Staff Data Engineer. You will play a critical role in building the data infrastructure powering our next-generation wearable devices, working on high-scale data systems that drive real-time insights and machine learning. Your responsibilities include designing and executing scalable data infrastructure, developing and maintaining data warehouses, designing and optimizing ETL/ELT processes, collaborating with the ML team on data pipelines, and interfacing with research teams. This position requires 4+ years of professional data engineering experience, proficiency in Python and SQL, strong knowledge of data modeling, ETL, and distributed systems, and experience with AWS, Databricks, and Apache Spark. Fi offers competitive benefits including flexible PTO, comprehensive health coverage, wellness perks, a dog charity donation program, a free Fi membership, a gifting program, and equity compensation.
Requirements
- 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 Spark
- Collaboration & communication: Ability to work cross-functionally with research, ML, and engineering teams to drive data-driven decision-making
Responsibilities
- Own the data foundation: Design and execute scalable, high-performance data infrastructure that supports Fiβs 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
Preferred Qualifications
- 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, DynamoDB
- Experience with streaming data (Kafka, Kinesis, or similar) is a plus
- Working knowledge of pandas, numpy, or python ML libraries
- Worked with geospatial data pipelines & visualization
Benefits
- Time to Recharge : Enjoy flexible PTO to take the breaks you need
- Top-Notch Health Coverage : Weβve 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