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Salary
$90k – $223k per year (Estimated)
Location
Remote (Germany, Brazil, Canada)
Employment
Full-Time
Overview
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Reflow is a dynamic brand specializing in transforming video content from platforms like Loom, YouTube, and Zoom into actionable process documents. With Reflow, users can effortlessly edit, share, and embed their video-based insights across any platform, enhancing team collaboration and productivity. Designed to work seamlessly with popular storage services such as Google Drive and Dropbox, Reflow provides a user-friendly interface that simplifies the conversion of videos into editable documents. Whether it's for training, documentation, or workflow optimization, Reflow empowers businesses and individuals to make the most out of their video assets. As part of its commitment to innovation, Reflow enables users to create process documents quickly, ensuring that critical information is always at hand. With a focus on efficiency and usability, Reflow stands out as a crucial tool for professionals looking to enhance their operational workflows in an increasingly digital landscape. Join Reflow today and redefine how you manage and share video content!

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 (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.

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.

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