Eagle Eye

Data Solutions Engineer

United States

Sponsorship not specifiedDetected 177 days ago

PythonGCPCloud PlatformsMachine LearningSparkData EngineeringData ScienceA/B TestingCustomer SuccessCustomer Support

About the role

The team "Personalized Challenges" is currently Europe-based and you will be the first North-America based member.
Note that overall, Eagle Eye has a global presence, including North America, EMEA and APAC.
An autonomous worker, ready to be the first North American member of the team while maintaining close ties with European colleagues.

You will work at the intersection of data engineering, system performance optimization, and client-facing technical operations, ensuring that our AI personalization solution runs reliably in production and delivers measurable value.
You will collaborate closely with Product Managers, Data Science, and Customer Success teams, and regularly interact with client technical teams.
You will primarily communicate remotely with your direct team members in Europe but will also collaborate with our extensive team in North America who are based in Washington, DC, Toronto, Jacksonville and Chicago..
Comfortable navigating production incidents and support tickets with a calm, engineering-driven approach.
Practical experience building and managing data stacks within Google Cloud Platform (GCP) and BigQuery.
A solid foundation in data engineering principles, including data pipeline design and system optimization.

You have 3-5 years of experience as a Data Engineer or Data Solutions Engineer in a production-heavy environment.
A Master's degree (or equivalent) in Computer Science, Data Engineering, or a related field.
Deep hands-on experience with Python and/or Scala.

A working knowledge of Data Science and Machine Learning concepts to help bridge the gap between data flows and algorithm performance.

This listing is sourced directly from Eagle Eye's careers page and normalized into a canonical job model.