Sr. Data Engineer

Gold ? Lyra Health · United States, Remote

Job description

Data Science and Machine Learning Full-time About Lyra Health Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. About the Role: We are looking for an exceptional Sr. Data Engineer to join our team and help shape the future of mental health care. We care deeply about making a difference in people's lives, and we hope that you do too! At Lyra Health, data is not just a byproduct of the business, it powers the analytics and research platforms that drive product development and measure life-changing clinical outcomes. As a critical pillar of Lyra's data strategy, you will build and scale our data enterprise that empowers our teams to make better decisions and our patients to live happier, healthier lives. To thrive in this role, you should be enthusiastic about taking ownership of your work, spearheading cross-functional projects, and providing guidance and mentorship to other members of the team Lyra is the right place for you if you: Thrive on working with brilliant teammates to solve complex, meaningful problems Are passionate about making a social impact and supporting people at their most challenging moments Enjoy cross-functional collaboration with physicians, therapists, data scientists, data analysts and product managers
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