Data and Analytics Engineer III

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and maintain scalable ETL/ELT pipelines that cater to cross-functional data requirements.

• Construct, deploy, and enhance analytical dashboards and various reporting tools to facilitate strategic decision-making.

• Develop well-structured, testable code in Python, R, and SQL to support analytics workflows.

• Guide the development of best practices for version control, documentation, and coding standards.

• Collaborate with data scientists to transition analytics products from prototype to production.

• Identify and incorporate AI-driven tools to improve data processing and reporting functionalities.

• Mentor junior team members and foster a culture of knowledge sharing and continuous improvement.

⛳️ Requirements

• A Bachelor’s degree is required; a Master’s degree is preferred in a technical field such as Computer Science, Engineering, Data Science, or related areas.

• Over 7 years of post-internship practical experience in data engineering, analytics engineering, or data science roles within the pharmaceutical industry.

• Proficient in Python, R, and SQL, with experience in operationalizing analytics at scale.

• Strong familiarity with Git and collaborative development workflows.

• Expertise in designing data architecture and maintaining complex data pipelines.

• Knowledge of Databricks and other cloud platforms (e.g., Snowflake, AWS, Azure).

• Experience applying AI to optimize or enhance data workflows.

• Exceptional communication skills with a proven ability to collaborate across both technical and non-technical teams.

• Preferred experience working with patient-level data or in regulated environments (e.g., HIPAA, GxP, FDA).

🏝️ Benefits

• Health insurance.

• Diversity, Equity & Inclusion initiatives.

• Opportunity to work in a low-ego environment.