Lead Data Engineer

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.

As a Lead Data Engineer, you will play a key role in supporting our various business objectives. You will collaborate directly with all members of the Engineering team and key individuals from other business units, lead the requirements discovery process, lead interactive prototyping sessions, build required data models, and prepare the models for release to production. You will utilize several different software tools and architectures to accomplish these objectives. The successful candidate will demonstrate the ability to consistently engineer data-driven models and solutions that solve problems and identify opportunities to drive operational excellence. Responsibilities Include: - Interact with key business unit leaders to elicit requirements and develop prototypes. - Successfully translate business requirements into analytical model specifications. - Identify opportunities to improve business outcomes with new data-driven solutions. - Design and coordinate the development of data-driven processes, analyses, and tools. - Work with the database architect to plan appropriate data structures to support models. - Build frameworks for automating operational models for continual analysis and insight. - Present concise and clear recommendations to business unit and practice leadership, including properly design visualizations, where appropriate. - Design and execute proper experiments to improve operations. - Assist with developing scripts and applications necessary to support data model implementation.