NAMSA is a pioneering company focused on medical device materials for safety. The Senior Data Engineer will act as a liaison between software development and data sciences teams, ensuring the development of robust data architecture and maintaining data integrity across various projects.
Responsibilities:
- Acts as liaison between software development and data sciences teams to ensure development of robust data architecture foundation and database design
- Assists in gathering requirements, writing user stories, and maintaining detailed specifications for the Syncrony EDC product
- Designs operational reports, study dashboards, and data visualizations for study sponsors, site coordinators, and other key stakeholders
- Ensures integrity of data and consistency of data delivery for data-related projects
- Designs, optimizes, and maintains data pipelines for integration and transformation of diverse and complex datasets into required formats for loading, reporting, and/or analysis
- Oversees database builds as needed; assists in database validation; assesses data impact upon subsequent changes and recommends strategies to maintain data integrity
- Identifies opportunities for improvement; implements optimizations for data flow and collection and automates manual processes
- Supports stakeholders with issues relating to data and data infrastructure; suggests strategies to improve data quality and integrity
- Extracts, transforms, and loads data from outside clinical databases into the Syncrony EDC system
- Maps, integrates, and reshapes data from clinical databases and large-scale registry studies to facilitate pooled analyses
- Develops and maintains SOPs for database development and data mapping, integration, and/or migration projects
- Identifies new opportunities for data acquisition and analysis
- Develops SOPs for standardized study reporting frameworks to provide to all Syncrony EDC clients
- Conducts training sessions for internal and external stakeholders on supported tools for data management and analytics
Requirements:
- Baccalaureate degree in Computer Science, Software Engineering, MIS or equivalent combination of education and experience
- At least 3-5 years of database management experience
- Experience writing complex SQL queries
- Experience building and optimizing data pipelines
- Familiarity with a variety of databases (SQL, NoSQL, etc.)
- Experience manipulating and transforming large datasets
- Strong analytic skills
- Experience with business intelligence tools such as Power BI, Tableau, or similar
- Proficiency with at least one object-oriented language (Python, Java, C++, Scala, etc.)
- Must be able to work independently following a period of specific training
- Excellent verbal and written communication skills
- Strong organizational skills and be attentive to detail
- Demonstrate a high degree of personal and professional integrity
- Database Knowledge (SQL, NoSQL, etc.)
- BI Tools
- Object Oriented language experience
- graduate degree in Computer Science, Informatics, Statistics, or related field