175K–175K USD / year
Senior Data Engineer
DataRemote — worldwide
Published on 2026-10-21
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About this role
Build and own reliable, ML-ready data pipelines that power Float’s customer-facing Intelligence features. Help maintain the data warehouse and contribute to the team’s evolution toward event-driven architecture and scheduling optimization.
About the company
Float is a resource management platform that helps businesses optimize their project planning and team collaboration. By providing tools for visualizing workloads and managing resources, Float enables organizations to streamline operations and improve efficiency.
The team
Float’s Intelligence team, collaborating with the Data team.
Stack
TypeScriptNode.jsSQLMongoDBdbtBigQuerySnowflakeKafka
What you'll do
- Own end-to-end data pipelines for Intelligence features
- Build data infrastructure supporting production AI and ML features
- Maintain pipeline reliability and documentation
- Contribute to event-streaming architecture and implementation
- Develop familiarity with scheduling optimization and the Float domain
- Improve data workflows across teams
What we're looking for
- Production experience shipping and maintaining customer-facing ML or AI features
- Experience owning and debugging data pipelines, including orchestration, backfills, and data quality
- Strong TypeScript and Node.js production experience
- Advanced analytical SQL skills and attention to warehouse cost and performance
- Experience building data pipelines and models that power product features
- Strong software engineering practices, including design, testing, and code review
- Clear asynchronous written communication and prior remote-work experience
- Familiarity with dbt and a cloud data warehouse
Nice to have
- MongoDB familiarity
- Experience with Timefold or OR-Tools
- Interest in scheduling optimization