We’re Medly, a human-centered digital pharmacy that prioritizes patient well-being. Our mission is to deliver prescriptions to patients at prices they can afford - regardless of income, lifestyle, language or diagnosis. We live our mission to democratize healthcare by leveraging technology to create accessible tools for improving lives. Visit us online at www.medly.com. We are looking for a Data Engineer with the desire to make an impact and help us achieve our patient-centric vision.
Your overall mission: As a Data Engineer, you’ll support the scaling of our data analytics and science infrastructure by providing resources and establishing best practices. More specifically, you’ll be entrusted with working on the end-to-end process of designing, developing, testing, and deploying scalable and efficient data pipelines. You’ll help manage the organization's data, ensuring your colleagues’ satisfaction with their contributions and deliverables. What you’ll do: Help build our data lake from scratch, which will unify data across Medly and give us insight on how to make thoughtful data-driven decisions Adopt and strengthen best practices for data infrastructure and data governance Manage technical debt and anticipate data science and business intelligence needs Participate in the data engineering roadmap and help to bring the organization towards an automated, scalable and fault-tolerant infrastructure Engage in opportunities for continuous learning and professional development Maintain ongoing reliability, performance, and support of the organization’s data infrastructure Participate in third-party relationships. What you’ll gain: Competitive compensation and benefits Fantastic room for growth and development The ability to make a noticeable impact and improve lives What you’ll need: 3 or more years of experience working with data technologies (BI or data science) Experience with SQL, R, Python, Tableau or other business intelligence tools Knowledge of Snowflake and DBT or similar tools is a plus Proficiency working in cloud platforms (AWS, Azure) History working with cross-functional product teams Some experience in supporting and productionizing machine learning algorithms Ability to maintain data infrastructure and scalable applications Good understanding of data warehouse and application from design to deployment Knowledge of best practices for SDLC, source control and testing Work on complex BI ecosystems and design solutions Medly Pharmacy is an equal opportunity employer. We proudly celebrate diversity and are devoted to creating an inclusive environment for all employees regardless of race, color, religion, national origin, sex, sexual orientation, age, disability, military service, or any other non-merit factor.