Skip to main content
Back to jobs

Full-Stack Data Platform Engineer

External
reflow logoReflow · Canada
Full-timeRemote2mo ago
BigQueryComplianceData ModelingETLMetabasePerformance Optimization
Cover LetterConnect

Prepare for this interview

Elite

AI-generated questions, company research, and talking points tailored to this role

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.

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.
  • Bonus points
  • 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.

Benefits

We're open to part or full-time. Ideal for builders who care about performance and precision at scale.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.Flexible schedulePerformance bonus

Additional Information

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.

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at reflow? Share your experience

Interested in this role?

Apply on the company's website.

Cover LetterConnect