Staff Data Engineer, Fi
$150-225k
+ Equity
Smart dog collars
Job no longer available
Smart dog collars
501-1000 employees
Job no longer available
$150-225k
+ Equity
501-1000 employees
Company mission
Fi's mission is to build products that make dogs' lives better.
Role
Who you are
- 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
Desirable
- 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
What the job involves
- 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
- 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
Our take
For the last three decades, dog collars and leashes have remained largely unchanged. Fi was set up by a product team drawn from the ranks of Uber, Square, and Google to disrupt the stagnant dog collar space.
Fi's tracking collars have not only saved countless dogs' lives by providing real-time escape notifications, but they also enable dog owners to monitor their pets' health. Its health and sleep monitoring set it apart from rival products such as the Apple AirTag, whilst the development of a collar that administers topical medicine is also in the works. As Fi utilizes AT&T signal, it also boasts a tracking range that far exceeds that of its competitors.
The company saw a significant increase in value through its lucrative partnership with PetSmart. These sorts of partnerships and overall brand recognition will fuel the sort of expansion Fi aims to achieve.
Freddie
Company Specialist at Welcome to the Jungle
Insights
30% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Feb 2021
$30m
SERIES B
Oct 2019
$7.1m
SERIES A
Total funding: $41.9m
Company benefits
- Unlimited vacation
- Commuter benefits
- Medical, dental and vision coverage
- FSA
- 401(k)
- Stocked kitchen
- Team lunches & breakfast
- Perkspot discounts
- $2,000 monthly donation to dog-related charities
- Maternity & paternity leave
Company HQ
NoHo, New York, NY
Leadership
Jonathan Bensamoun
(CEO)Previously worked as VP Product & Engineering at ShopKeep, and was a Product Manager at Square.
Loren Kirkby
(CTO)Previously worked as Lead Engineer at DivX, and was Chief Architect at Dropcam (acquired by Google's Nest Labs).
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