Founded in 2015, Phil is a San Francisco-based, Series D health-tech startup that is building a platform that interfaces between doctors, pharmacies, and patients to streamline the process of patients receiving prescriptions. This is a complex, archaic industry, and we've set out to change that.
PHIL's B2B2C platform provides an end-to-end prescription management and delivery service. Our robust platform connects patients, prescribers, pharmacies, and manufacturers, enabling easy and affordable access to medicine. Through its digital stakeholder experiences, patient access services, market access solutions, and distribution models, pharma manufacturers can deliver affordable and timely therapy access to patients, resulting in more patients staying on their treatment plans longer. Consequently, pharma manufacturers are enabled for more innovation.
We are seeking a talented and experienced Principal Software Engineer, Data to lead our data engineering at PHIL. In this role, you will lead the development and maintenance of the overall data pipeline from the upstream data sources from the patients, prescribers and the pharmacies, to the downstream consumers that includes our internal teams and external customers. Reporting to the Director of Engineering, you will be responsible for leading a team of engineers (both onshore and offshore) to oversee the engineering aspect of everything related to data at PHIL.
Key responsibilities include designing and implementing backend data services, collaborating with product and analytics teams, optimizing data pipelines, maintaining documentation, and integrating various data sources. The ideal candidate should have 10+ years of progressive experience in software development with a focus on data, strong skills in Golang and Python, and experience with technologies like PostgresDB, MongoDB, Looker, Snowflake, and dbt.
Join our mission-driven team and contribute to creating an innovative healthcare platform focused on patient experience and overall human wellbeing.