Fi is looking to build the data infrastructure that powers their next-generation wearable devices, driving real-time insights, machine learning models, and analytics to shape the future of connected pet technology.
Requirements
- Proficiency in Python and SQL.
- Strong knowledge of data modeling, ETL, and distributed systems.
- Experience with AWS (or similar), Databricks, Apache Spark
- 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
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.
Other
- 4+ years of professional data engineering experience.
- Ability to work cross-functionally with research, ML, and engineering teams to drive data-driven decision-making.
- Working knowledge of pandas, numpy, or python ML libraries
- Worked with geospatial data pipelines & visualization
- Flexible PTO to take the breaks you need.
