Senior Data Engineer

Summary

Join Fi, a dynamic team revolutionizing the dog-human relationship through cutting-edge technology. As a Senior Data Engineer, you will build and maintain the data infrastructure powering our next-generation wearable devices. You'll design scalable data systems, develop data pipelines, and collaborate with ML and research teams. This role requires 4+ years of experience in data engineering, proficiency in Python and SQL, and expertise in cloud and big data tools. Fi offers competitive compensation, comprehensive health benefits, flexible PTO, wellness perks, and unique benefits like a dog charity donation program and a free Fi membership.

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 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

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 : 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