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# Scientific Data Engineer Consultant

- **Company:** JPR, P.C.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Information Engineering, Data Files, Data Transformation, Python (Programming Language), Data Processing, Data Ingestion, Microsoft Fabric, Kubernetes, Data Pipelines
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/scientific-data-engineer-consultant-ppg-jpn-propharma-group-gk-9035266

## About the Role

ProPharma is seeking an experienced Scientific Data Engineer to join our team. The ideal candidate will have a strong background in AWS tools and data engineering, with a focus on data ingestion solutions for CRO/CDMO environments. This role requires expertise in data capture, orchestration, and transformation, as well as the ability to handle a wide variety of data files from scientific instruments and processed results., * Minimum of 5 years' experience in AWS.

 * Proficiency with AWS tools: Glue, Aurora, Redshift.
 * Experience with Microsoft Fabric is a plus.
 * Knowledge of Kubernetes is a plus.
 * Strong Python programming skills.
 * Demonstrable experience with scientific, analytical, or process data, ideally within the domain of CMC (Chemistry, Manufacturing, and Controls) data.
 * Ability to quickly learn and understand data related to domain biologics development and CMC.

Educational Requirements:

 * Minimum of a bachelor's degree in the Life Sciences.

Preferred Skills:

 * Experience in CRO/CDMO data ingestion solutions.
 * Familiarity with data capture and orchestration of data pipelines.
 * Knowledge of data transformation techniques.

We celebrate our differences and strive to create a workplace where each person can be their authentic self. We are committed to diversity, equity, and inclusion. Employees are encouraged to unleash their innovative, collaborative, and entrepreneurial spirits. With a holistic approach as an Equal Opportunity Employer, we provide a safe space where all employees feel empowered to succeed.

## Description

* Design, develop, and maintain data pipelines using AWS tools such as Glue, Aurora, and Redshift.
 * Implement data ingestion and parsing solutions for diverse data files from instruments and analytical results.
 * Orchestrate and transform data pipelines to ensure efficient data capture and processing.
 * Collaborate with cross-functional teams to understand data requirements and deliver solutions.
 * Utilize solid Python skills to develop and optimize data processing workflows.


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