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
PHIL is looking for a foundational Staff Software Engineer, Data Platforms to build and lead our data engineering function. 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 include our internal teams and external customers. You will have the autonomy to make key architectural decisions, consolidate our data infrastructure, and implement modern technologies from the ground up.
This role will take ownership of our core data-producing systems and be responsible for a major strategic project: evaluating our current data warehouse landscape and building the roadmap for a scalable, universal source of truth. We are looking for a hands-on technical leader with a founder's mentality who is excited to build a best-in-class data platform that will power our analytics, operations, and future AI-driven products.
Responsibilities:
Design, implement, test, and launch PHIL’s backend data services and API platform for multiple client facing apps
Architect & Build: Design, build, and scale Phil's core data platform from the ground up, establishing the technical vision, roadmap, and data governance best practices.
Innovate & Modernize: Research, prototype, and implement modern data technologies. We are particularly interested in Apache Iceberg as a foundation for our future AI and data-sharing needs.
Partner Cross-Functionally: Act as the primary data engineering partner for software engineering, product, and analytics teams. You will collaborate on designing data-centric applications and provide the clean, reliable data that powers all business reporting.
Collaborate with product and analytics team to improve data quality and governance
Design and maintain data pipelines in Golang and Python
Optimize performance for data ingestion, transformation, and loading processes
Integrate data sources from Phil’s core application, Sales CRM, Inventory tracking, and more
Work collaboratively with remote Dev and QA teams reviewing implementation and answering queries about the platform
Deeply understand complex business processes and end user needs (internal and external, technical and nontechnical)
Make data at Phil easy to understand and work with - whether you're an experienced analyst or a pharmacist
Design and test validation frameworks, monitor the results and improve upon them
Deliver performant, reliable, scalable, testable, and secure code
Qualifications:
Bachelor's degree in Computer Science or a related field (or equivalent experience)
10+ years of progressive experience in software development, with focus on data.
8+ years of experience in data engineering, software engineering, or a similar platform-focused role, with a proven track record of building systems from an early stage.
Deep Architectural Expertise: You have architected, built, and scaled data platforms. You have strong opinions, backed by experience, on data modeling, infrastructure, and system design.
Broad Technical Knowledge: You are an expert in modern data warehousing (e.g., Snowflake, BigQuery) AND data lake/lakehouse technologies (e.g., S3, Apache Iceberg, Delta Lake, Hudi).
Experience within the health-tech sector is a plus.
Strong Programming Skills: Experience building and maintaining secure, end-to-end systems and services. Experience in Golang, PostgresDB, and MongoDB is preferred.
Should enjoy working with data and understanding the relationship with the business. Comfortable writing standard, maintainable SQL, from the basics to window functions
Deep understanding of algorithms and efficient data structures
Experience working with all phases of the Software Development Lifecycle
Strong critical thinking, debugging and problem solving skills
A sense of ownership: you would develop, manage, and evolve the core logic of a mission-critical and consequential consumer experience
Experience with Looker, Snowflake and dbt is a plus
Experience building systems and services for health-tech company is preferred
Benefits
Ground floor opportunity with one of the fastest-growing startups in health-tech
Fully remote working environment
Competitive compensation (commensurate with experience)
Full benefits (medical, dental, vision).
Pension
PHIL, inc is an equal opportunity employer
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