Principal Data Engineer

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🕒 June 29

🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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Jazz Pharmaceuticals

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2003

🏥 Healthcare

🏭 Manufacturing

🧬 Biotechnology

Healthcare • Manufacturing • Biotechnology

Jazz Pharmaceuticals is a biopharmaceutical company dedicated to developing innovative medicines that address serious unmet medical needs. With a strong commitment to research and development, Jazz focuses on creating life-changing therapies, emphasizing the importance of collaboration, diversity, and employee engagement in its operations. The company prides itself on transforming patients' lives through its meaningful product offerings and a culture that fosters enthusiasm and flexibility.

📋 Description

• Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. • Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. • Build and maintain data repositories using AWS S3 and FSx technologies. • Establish data warehousing solutions using Amazon Redshift. • Build and maintain standard data models. • Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. • Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. • Create and maintain documentation for data processes, architectures, and workflows. • Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). • Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. • Maintain compliance with data privacy regulations such as HIPAA, GDPR. • May be required to develop, deliver or support data literacy training across R&D.

🎯 Requirements

• Strong knowledge of data engineering tools such as Python, R and SQL for data processing. • Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. • Strong proficiency with relational databases. • Strong background in data modeling and database design. • Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). • Familiarity with Containerization such as Docker and EKS/Kubernetes. • Familiarity with one or more RnD research process and associated regulatory requirements. • Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). • Exposure to big data technologies and handling. • Knowledge of machine learning operations (MLOps) and model deployment. • Strong problem-solving and analytical abilities. • Excellent communication skills for collaborating with stakeholders. • Experience working in an Agile development environment. • Bachelor’s Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master’s Degree preferred • 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or clinical related data

🏖️ Benefits

• medical, dental and vision insurance • retirement savings plan • flexible paid vacation