About The Position

We’re building Reflow, a workforce and workflow intelligence platform that helps teams deeply understand how work gets done. As we scale, the data we collect is becoming richer and more complex. 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.

Requirements

  • Experienced in data warehouse architecture and scalable analytics infrastructure.
  • Strong with SQL, data modeling, and pipeline performance optimization.
  • Hands-on with ETL tools, data ingestion frameworks, and cloud-based data operations.
  • Capable of balancing technical depth with real-world impact — you build systems people actually use.
  • Comfortable navigating tradeoffs between cost, scalability, and complexity.
  • Curious about how data translates into insights, decisions, and automation.

Nice To Haves

  • Experience with Python for analytics and data wrangling.
  • Familiarity with AI/ML-driven analytics or predictive modeling.
  • Exposure to real-time or streaming data architectures.
  • Understanding of data governance, compliance, and secure cloud operations.

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.
  • Model and manage datasets to support flexible analytics and product features.
  • 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.
  • Ensure data reliability, cost efficiency, and performance optimization across environments.
  • Implement event-based pipelines for real-time analytics and reporting.
  • Contribute to data governance, privacy, and security best practices.

Benefits

  • Competitive pay based on the market and where you’re located.
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