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Philadelphia, Pennsylvania
Live, first seen by us 82 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Build and maintain data pipelines for R&D data on AWS
Create and optimize ETL/ELT processes using Python, R, SQL and AWS
Establish data warehousing on Amazon Redshift and maintain S3/FSx repositories
Develop data quality frameworks, validation and lineage tracking
Support researchers and data scientists to deliver data solutions
Support the design, development and maintenance of data pipelines for processing Research and Development data
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.
Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines.
Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions
Required/Preferred Education - 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
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Day 82
Up longer than most. Similar jobs usually come down between day 5 and day 54.
From 10,736 similar postings that came down. Coming down is not always a hire.
9 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- 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.
Required Knowledge, Skills and Abilities - 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.
Essential Functions - 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.
- 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.
- 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.
- 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.
- 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.
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
If you are a current Jazz employee please apply via the Internal Career site
Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases — often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit www.jazzpharmaceuticals.com for more information.
Job Description
The Principal will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across Jazz Research and Development. The Principal will support data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics.
Essential Functions
Required Knowledge, Skills and Abilities
Required/Preferred Education
Description of Physical Demands
Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law.
The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: https://careers.jazzpharma.com/benefits
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Philadelphia, Pennsylvania
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