DataandAnalyticsEngineerIII

Location: This position may be performed remotely, but requires the flexibility and willingness to travel as needed. The Opportunity We’re looking for a Data and Analytics Engineer III who brings both technical excellence and systems thinking to help us scale our data infrastructure and insights delivery. You’ll lead the development of robust pipelines, intuitive dashboards, and analytics tooling that directly supports our clinical, research, and operational priorities. You’ll act as a thought partner to our data science and business teams, help elevate our engineering standards, and leverage emerging technologies including the use of AI to improve efficiency and impact. This role is ideal for someone who thrives in a fast-moving, low-ego environment where data makes a difference for patients. Primary Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines that support cross-functional data needs Build, deploy, and optimize analytical dashboards and other reporting tools to support strategic decision-making Write well-structured, testable code in Python, R, and SQL to support analytics workflows Lead the development and best practices of version control, documentation, and coding standards Partner with data scientists to bring analytics products from prototype to production Identify and integrate AI-driven tools to enhance data processing and reporting capabilities Mentor junior team members and contribute to a culture of knowledge sharing and continuous improvement Qualifications and Key Success Factors Bachelor’s degree required; Master’s degree preferred in a technical field such as Computer Science, Engineering, Data Science, or related disciplines 7+ years post-internship hands-on experience in a data engineering, analytics engineering, or data science role in the pharmaceutical industry Proficient in Python, R, SQL, with experience operationalizing analytics at scale Strong experience with Git and collaborative development workflows Experienc