PRIMARY DUTIES

• Design, develop, and manage robust, secure, scalable, highly available, and dynamic solutions to drive business objectives.
• Lead the architecture and implementation of advanced cloud-based data engineering solutions, leveraging AWS technologies and best practices.
• Manage and optimize data pipelines, ensuring timely and accurate data availability for analytics and machine learning applications.
• Oversee the administration and performance tuning of databases and workflow engines.
• Collaborate with cross-functional teams (e.g., product management, IT, software engineering) to define data requirements, integrate systems, and implement data governance and security policies.
• Mentor junior data engineers and oversee the team's development efforts, promoting best practices in coding, architecture, and data management.
• Stay abreast of emerging technologies and trends in data engineering, cloud services, and the medical device industry to drive innovation and competitive advantage.

KNOWLEDGE, EXPERIENCE & SKILLS

• Degree in Computer Science, Engineering, Information Systems, or a related field.
• Requiring a minimum of Bachelor’s degree 7yrs of experience or a Master’s degree 5yrs of experience.
• Minimum of 7 years of experience in data engineering, with expertise in developing and managing automated data pipelines, AWS cloud infrastructure, databases, and workflow engines. Certifications in AWS and data engineering preferred.
• Experience with machine learning algorithms and data modeling techniques.
• At least 5 years of experience in the medical device IVD industry, with a strong understanding of FDA regulatory standards and compliance requirements.
• Expert proficiency in Python programming and software engineering principles.
• Demonstrated experience with AWS services (e.g., EC2, RDS, S3, Lambda, Glue, Redshift, Athena, EMR) and data pipeline tools (e.g., Apache Airflow, Luigi, etc).
• Strong knowledge of database management (Postgres and Snowflake), SQL, and NoSQL databases.
• Adept at queries, report writing and presenting findings
• Experienced in developing and maintaining ETL pipelines in a cloud environment
• Experienced in Unit Testing preferred
• Strong analytical skills with the ability to organize, analyze, and disseminate information with attention to detail and accuracy
• Excellent communication and task management skills.
• Comfort working in a dynamic, fast-paced, research-oriented group with several ongoing concurrent projects
• Full fluency (verbal and written) of the English language is a must. 

• A choice of medical (including prescription), dental, and vision plans providing nationwide coverage and telemedicine options
• Company-Provided Life and Accidental Death Insurance
• Short and Long-Term Disability Insurance
• Retirement Plan including a generous non-discretionary employer contribution and employer match.
• Adoption Assistance
• Wellness Programs
• Employee Assistance Program
• Commuter Benefits
• Various voluntary benefit offerings
• Discount programs
• Parental leaves