Description

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 to the Table

• 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.

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, 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.

Note: If you feel strongly that you have what it takes for this role but don’t check 100% of the boxes—that’s okay—we encourage you to apply anyway and highlight what you can bring to the table.