Data and Analytics Engineer III

Role overview A senior data and analytics engineering role focused on scaling data infrastructure and insights delivery across clinical, research, and operational functions. The position blends hands-on pipeline and dashboard development with thought leadership, standards-setting, and the integration of AI-driven tooling. It suits someone who thrives in a fast-moving, mission-driven environment where data ultimately impacts patient outcomes.

Responsibilities - Design, build, and maintain scalable ETL/ELT pipelines supporting cross-functional data consumers - Develop, deploy, and optimize analytical dashboards and reporting tools that inform strategic decisions - Write well-structured, testable code in Python, R, and SQL for analytics workflows - Champion version control, documentation, and coding standards across the data team - Partner with data scientists to move analytics products from prototype to production - Identify and integrate AI-driven tools to streamline data processing and reporting - Mentor junior engineers and foster a culture of knowledge sharing

Requirements - Bachelor's degree required; Master's preferred in Computer Science, Engineering, Data Science, or a related technical field - 7+ years of post-internship hands-on experience in data engineering, analytics engineering, or data science within the pharmaceutical industry - Proficiency in Python, R, and SQL, with experience operationalizing analytics at scale - Strong command of Git and collaborative development workflows - Demonstrated experience designing data architecture and maintaining complex pipelines - Familiarity with Databricks and major cloud platforms such as Snowflake, AWS, or Azure - Experience applying AI techniques to augment data workflows - Excellent communication skills and ability to work across technical and non-technical teams - Experience with patient-level data or in regulated environments such as HIPAA, GxP, or FDA contexts is a plus

Nice to have - Background in regulated pharmaceutical or life sciences environments - Prior mentoring or team leadership experience

Benefits and work setup - Remote-friendly with travel flexibility as needed - Base salary range of $145,000–$165,000 USD annualized - Employer covers 99% of premiums for medical, dental, and vision plans - Company-paid life insurance, AD&D, and disability benefits, plus voluntary plan options - Dollar-for-dollar 401(k) match up to 6% of eligible contributions - Long-term stock incentives and an employee stock purchase plan - Discretionary quarterly bonus - Flexible wellness benefit, generous PTO, paid holidays, and company-wide shutdowns