Reflow

Reflow

Full-Stack Data Platform Engineer

Canada · Full-time

Sponsorship not specifiedDetected 125 days ago
PythonFull-Stack DevelopmentSQLBigQuerySnowflakeRedshiftPlatform EngineeringMachine LearningData EngineeringData Visualization

About the role

  • As we scale, the data we collect is becoming richer and more complex.
  • You'll work directly with founders and engineers across analytics, infrastructure, and product.
  • This is a high-impact technical role that sits at the intersection of scale, performance, and strategy.

Responsibilities

  • Design, implement, and maintain a scalable data warehouse (BigQuery, Snowflake, Redshift, or similar).
  • Develop and optimize ETL pipelines to ingest data from APIs and internal systems.
  • Collaborate with engineering team to improve data mining and analytics performance.
  • Build and maintain dashboards and visualization tools (Metabase, Tableau, Power BI) to enable internal and external insights.
  • Implement event-based pipelines for real-time analytics and reporting.
  • Capable of balancing technical depth with real-world impact - you build systems people actually use.

Requirements

  • Experience with Python for analytics and data wrangling.
  • Familiarity with AI/ML-driven analytics or predictive modeling.

Compensation

  • We offer competitive pay based on the market and where you're located.
  • The salary ranges in our job postings are intentionally wide because they need to cover both U.S. and international candidates.
  • Our final offer will depend on things like your experience, skill set, and location.

Benefits

  • Model and manage datasets to support flexible analytics and product features.

Company info

  • We're building Reflow, a workforce and workflow intelligence platform that helps teams deeply understand how work gets done.
  • We need a data platform engineer to help us design and operate the systems that turn that data into intelligence - powering analytics, workflow insights, and economic modeling.
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This listing is sourced directly from Reflow's careers page and normalized into a canonical job model.