Join to apply for the Staff Software Engineer, Data Platforms role at Phil, Inc.
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Join to apply for the Staff Software Engineer, Data Platforms role at Phil, Inc.
This range is provided by Phil, Inc.. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range$175,000.00/yr - $185,000.00/yr
Company Overview
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.
The team at PHIL is a group of like-minded individuals from varying backgrounds, passionate about creating a new and innovative healthcare platform that is focused on patient experience and overall human wellbeing. Ready to join our team of mission-driven, analytical, and passionate people? Keep reading!
Position Overview
We are seeking a talented and experienced Staff 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.
Responsibilities
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