Senior Data Engineer...

About Eightpoint

Eightpoint is an internet technology company specializing in the agile development of products and content that address real-world interests, captivating users and driving significant growth for partners. With offices in the United States and Cayman Islands, Eightpoint collaborates with partners globally on the next generation of user-centric offerings. Our growing ecosystem includes innovative products like Weather Now, a sleek app that delivers real-time forecasts with clarity and ranks among the top three most-used weather apps in the U.S.; Check Heart Rate Now, a quick and easy wellness monitor; and Wave Browser, a powerful and secure way to search the web. Every product we launch is designed to engage users, enhance daily life, and deliver real-world value. Backed by data and driven by a relentless commitment to quality, Eightpoint moves fast, thinks big, and builds digital experiences that people love.

About the Role

We are seeking a Full-Stack Data Engineer to join our Mobile Applications department. This is a hybrid role that combines data engineering with data science overlap, giving you full ownership of the data lifecycle — from ingestion to transformation, analysis, and storytelling.

You will build and optimize scalable pipelines, ingest mobile app data from diverse sources, ensure infrastructure reliability, and deliver insights that directly influence how our apps grow. The ideal candidate thrives at the intersection of engineering and analytics, equally capable of writing production-grade pipelines and uncovering meaningful trends in user behavior.

Key Responsibilities

Data Infrastructure & Pipelines

• Build and maintain scalable, end-to-end pipelines across cloud environments. Ingest and transform data from files, APIs, mobile telemetry (Firebase, Amplitude, Google Analytics), and external databases into centralized stores.
• Continuously monitor, troubleshoot, and optimize infrastructure for performance, scalability, and cost-effectiveness.
• Implement data quality monitoring, governance policies, and best practices for privacy, security, and compliance.
• Participate in technical architecture discussions, contributing expertise on scalable, efficient data systems.

Analytics & Insights

Collaboration & Best Practices

Who You Are