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Full-Stack Data Platform Engineer - Remote

ReflowRemote - Anywhere In The World
Remote Full-time

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Experience Level

Experience

Qualifications

We are seeking candidates with a strong background in data engineering, particularly those who have experience in designing scalable data solutions. Proficiency in SQL and ETL processes, coupled with a keen understanding of data governance, is essential.

About the job

Join us at Reflow, a cutting-edge workforce and workflow intelligence platform designed to empower teams with profound insights into their work processes. As we continue to expand, the complexity and richness of our data grow, and we are on the lookout for a skilled Full-Stack Data Platform Engineer to architect and manage the systems that convert this data into actionable intelligence, driving analytics, workflow insights, and economic modeling.

Key Responsibilities

  • Design, implement, and maintain a robust and scalable data warehouse using platforms such as BigQuery, Snowflake, or Redshift.

  • Develop and enhance ETL pipelines for efficient data ingestion from APIs and internal systems.

  • Model and manage datasets to facilitate dynamic analytics and product features.

  • Collaborate with the engineering team to optimize data mining and analytics performance.

  • Create and maintain dashboards and visualization tools (e.g., Metabase, Tableau, Power BI) for internal and external reporting.

  • Ensure data reliability, cost efficiency, and performance optimization across various environments.

  • Implement event-driven pipelines for real-time analytics and reporting.

  • Contribute to best practices in data governance, privacy, and security.

Who You Are

  • Proficient in data warehouse architecture and scalable analytics infrastructure.

  • Strong command of SQL, data modeling, and optimizing pipeline performance.

  • Hands-on experience with ETL tools, data ingestion frameworks, and cloud-based data operations.

  • Able to balance technical depth with real-world application—creating systems that are user-friendly.

  • Comfortable navigating the trade-offs between cost, scalability, and complexity.

  • Curious about the translation of data into insights, decisions, and automation.

Preferred Qualifications

  • Experience with Python for analytics and data manipulation.

  • Familiarity with AI/ML-driven analytics or predictive modeling.

  • Knowledge of real-time or streaming data architectures.

  • Understanding of data governance, compliance, and secure cloud operations.

Why You Should Join Us

Be part of a transformative journey at Reflow, where you will have the opportunity to shape the future of workforce intelligence and analytics.

About Reflow

Reflow is at the forefront of workforce and workflow intelligence, leveraging data to provide teams with critical insights into their operational processes. Our mission is to empower organizations to optimize their workflows and enhance productivity through advanced analytics.

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