At a Glance
- Tasks: Design and maintain scalable data systems that turn complex data into actionable insights.
- Company: Join a cutting-edge tech company focused on workforce intelligence.
- Benefits: Competitive pay, flexible hours, and opportunities for growth.
- Other info: Collaborate with founders and engineers in a dynamic, high-impact environment.
- Why this job: Make a real impact by building systems that enhance data usability and performance.
- Qualifications: Experience with data warehousing, SQL, and ETL tools is essential.
The predicted salary is between 90000 - 110000 $ per year.
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.
- What you’ll do
- Design, implement, and maintain a scalable data warehouse (Big Query, 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.
Who you are
- 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.
- Why join
You’ll build the backbone of Reflow’s intelligence layer, the systems that make our data usable, fast, and insightful.
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.
We’re open to part or full-time. Ideal for builders who care about performance and precision at scale.
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.
#J-18808-Ljbffr
Full-Stack Data Platform Engineer in Toronto employer: reflow
At Reflow, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As a Lead Full Stack Developer, you'll have the unique opportunity to work closely with our founders and early team, shaping the future of our intelligence-driven platform while enjoying competitive compensation and a flexible work environment. We are committed to your professional growth, offering you the chance to influence product architecture and development practices in a high-trust, high-impact setting.
