Scientific Data Engineer – AWS Pipelines for Biotech (Hybrid)

ProPharma Group; Northern (KY); Hybrid; USD 110,000 - 145,000; Full time

Job summary

ProPharma Group is seeking an experienced Scientific Data Engineer to join our team. The role focuses on building and maintaining data pipelines using AWS tools, ingesting diverse data from instruments and analytical results, and transforming data for efficient processing.

The ideal candidate will have 5+ years of AWS experience, strong Python skills, and familiarity with CRO/CDMO data environments, including CMC data domains.

Qualifications

• 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 data.
• Ability to quickly learn and understand data related to domain biologics development and CMC.

Responsibilities

• 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.

Skills

AWS

Python

Data Pipelines

Data Ingestion

ETL

CRO/CDMO data

Biologics Domain

Education

Bachelor's degree in Life Sciences

Tools

Glue

Aurora

Redshift

Kubernetes

Fabric

Job description

ProPharma Group is seeking an experienced Scientific Data Engineer to join our team. The role focuses on building and maintaining data pipelines using AWS tools, ingesting diverse data from instruments and analytical results, and transforming data for efficient processing.

The ideal candidate will have 5+ years of AWS experience, strong Python skills, and familiarity with CRO/CDMO data environments, including CMC data domains.