Senior Data Analytics Engineer

at  Tomorrow Health

ABOUT TOMORROW HEALTH

Tomorrow Health enables exceptional healthcare for patients and their families in the place they want to be most — home. At Tomorrow Heath, we build technology that rewires the way home-based care is ordered, delivered, and paid for. Tomorrow Health connects patients, providers, health plans, and home-based care suppliers, to ensure patients receive the correct and timely care they need to remain healthy at home.
We believe that a team’s strength is in its people. Our goal is to raise the industry standard for patient experience, and we realize this cannot be achieved without a team that reflects the vast diversity in race, ethnicity, gender, sexuality, and set of experiences and perspectives of the patients we serve. We believe in putting patients first, that many perspectives are stronger than one, and in treating those we serve just as we would our own family members. If you’re passionate about improving healthcare delivery, leveraging technology to serve people, and working in a collaborative, diverse environment, we hope you’ll join us.

We are seeking an experienced Data Analytics Engineer to develop and implement scalable data solutions that support our business objectives. This role will be instrumental in building and maintaining robust data pipelines, infrastructure, and analytics solutions.
As a Data Analytics Engineer, you will collaborate closely with cross-functional teams to ensure our data infrastructure and analytics capabilities meet organizational needs. You will play a crucial role in designing, implementing, and optimizing data pipelines and storage solutions. Additionally, you will be responsible for ensuring data quality, reliability, and performance through best practices in data engineering.

In this role, you will:

• Collaborate with cross-functional teams to understand data requirements and design scalable solutions to support business objectives and enable data-driven decision-making.
• Partner with internal and external stakeholders to integrate and standardize data from various sources.
• Design and implement robust, scalable, and maintainable data pipelines, infrastructure, and analytics solutions using modern technologies and frameworks.
• Follow and build upon best practices, including data governance, coding standards, documentation, testing, and code reviews.
• Ensure data quality, reliability, integrity, and consistency across all data processes and systems.
• Empower stakeholders with data!