Collaborate with engineering, data science, ML, and product analytics on data models and pipelines.
Develop, implement and optimize ETL for ingesting and transforming large data.
Optimize data models to improve storage, retrieval, performance.
Evaluate and implement data storage solutions (RDS, NoSQL, data lakes, cloud storage).
Partner with Platform Engineering to guide the data platform direction.

🎯 Requirements

Fluency in building and maintaining ETL processes.
Outstanding analytical skills; ability to address real-world problems.
Team player with strong knowledge-sharing capabilities.
5+ years of full stack or backend development experience.
Data Pipelines: expertise in modern ETL technologies at scale.
Cloud infrastructure: AWS and Databricks experience is a plus.

🎁 Benefits

Flexible PTO
Location: Remote, US or Canada
Medical, dental, and vision benefits
Equity offered

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