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The Lead Data Engineer will design, build, and maintain scalable data pipelines and services to support healthcare analytics products. They will provide technical leadership to the engineering team, ensuring high-quality code and adherence to architectural standards.
Huron helps its clients drive growth, enhance performance and sustain leadership in the markets they serve. We help healthcare organizations build innovation capabilities and accelerate key growth initiatives, enabling organizations to own the future, instead of being disrupted by it. Together, we empower clients to create sustainable growth, optimize internal processes and deliver better consumer outcomes.
Health systems, hospitals and medical clinics are under immense pressure to improve clinical outcomes and reduce the cost of providing patient care. Investing in new partnerships, clinical services and technology is not enough to create meaningful and substantive change. To succeed long-term, healthcare organizations must empower leaders, clinicians, employees, affiliates and communities to build cultures that foster innovation to achieve the best outcomes for patients.
Joining the Huron team means you’ll help our clients evolve and adapt to the rapidly changing healthcare environment and optimize existing business operations, improve clinical outcomes, create a more consumer-centric healthcare experience, and drive physician, patient and employee engagement across the enterprise.
Join our team as the expert you are now and create your future.
Huron seeks a highly motivated and independent engineer to design and build solutions across its healthcare capabilities.
The Lead Data Engineer’s overarching role is translating business and analytical requirements into reliable, scalable, production-grade data solutions. This role focuses on designing, building, deploying, and operating data pipelines, services, and applications that support critical business use cases. You will define technical standards, architectural patterns, and operational practices that engineering teams use to deliver and support data solutions as longlived services. This includes designing data workflows, APIs, processing logic, and the supporting infrastructure required to operate these solutions at scale. The Lead Data Engineer will work closely with a Solution Architect to own and implement large scale technical implementations providing technical mentorship to other Data Engineers.
The Lead Data Engineer must demonstrate strong software engineering discipline, experience shipping production systems, and a mindset of ownership through the full solution lifecycle. You must be able to communicate architectural approaches clearly, lead implementation efforts, and ensure solutions meet expectations for reliability, performance, and supportability. A strong computer science foundation and the ability to learn and adapt quickly are essential.
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