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Lead architecture and implementation of scalable backend services and distributed data platforms for large healthcare datasets. Drive technical roadmap, build high-throughput processing systems and APIs, collaborate with product and ML teams, mentor engineers, and own production deployments and reliability for mission-critical data capabilities.

Lead day-to-day product delivery for PDE by embedding with engineering and product teams, running Scrum of Scrums, tracking dependencies, configuring and owning Jira, establishing sprint cadences and delivery artifacts, coaching teams on scrum best practices, and driving cross-team coordination to ensure P0 initiatives ship on time.

As a Staff Data Engineer, lead significant data projects, ensuring scalable architectures and optimized data pipelines, while mentoring others and collaborating cross-functionally.

As a Staff Data Engineer on the Data Lake team, you will architect, build, and scale distributed ETL pipelines, ensuring data quality and leading the engineering team. You will also drive large-scale data processing and technical initiative leadership.

The Staff Data Engineer will lead the architecture and scalability of H1's healthcare data processing systems, ensuring efficient entity resolution and big data operations. Responsibilities include design and optimization of distributed Spark pipelines, team leadership, and collaboration with AI/ML teams to enhance data processing capabilities.