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The Data Engineer plays a key role in enabling the development of data products throughout their lifecycle—from ingesting raw, ungoverned data with uncertain analytical value to leveraging well-governed sources already integrated into the company’s data lake. This role requires strong technical expertise and a hands-on approach, with the ability to design and implement scalable, decoupled, and functional solutions, enabling them to automate workflows and build robust, reliable data pipelines.
The Senior Data Engineer works on a team of Data Engineers and Administrators building and modernizing our data platform. This role is highly involved in the evolution of the platform to modern data warehousing technologies. The ideal candidate has experience with large data sets, hands on experience with cloud data warehousing, and a strong desire to continue learning and solving problems.
Lead and expand one of Zus's Data Acquisition (DA) teams, responsible for collecting health data from various sources and making it useful for the Zus platform. Build tools that interact with external health data networks to collect information and load it into Zus data stores. Develop and manage services used by customers to request data.
You’re a Senior Data / Analytics Engineer who thrives at the intersection of data, AI, and customer experience. In this role, you’ll work directly with some of the world’s most data-driven organizations to make their AI-powered data experiences more accurate, scalable, and impactful. This role is for someone who enjoys solving complex technical problems, writing code, leading technical sessions, and influencing product evolution.