Manufacturing Data Engineer Lab Data Systems / R shiny

Overview

On Site
Depends on Experience
Contract - W2
Contract - Independent
Contract - 6 Month(s)

Skills

R Shiny
C#
React
ETL
Power BI
Oracle
SQL
Python
DQL
DML
DDL
lab data systems
Data Engineer
Airflow
web app development
Tableau
data workflows
Cloud
Pharma
Pharmaceutical
Biotech
Healthcare
manufacturing process
process engineering
data engineering

Job Details

Data Engineer & Software Developer

Duration: 6 months/Onsite role

Location Vacaville, CA

Tools & Technologies: SQL, Oracle DB, R (Shiny), C#, React, Power BI

Domain: Pharmaceutical / Process Engineering

Overview:

Led the development of a data-driven application to support process engineering activities in a pharmaceutical setting. The project focused on building robust data pipelines and interactive dashboards to monitor and visualize process flow data, integrating engineering tools and pharma-specific requirements.

Key Responsibilities:

  • Designed and implemented end-to-end data pipelines to extract, transform, and load (ETL) data from Oracle databases using SQL.
  • Built interactive data applications using R (Shiny) and C#, enabling engineers to analyze and visualize production metrics.
  • Collaborated closely with process engineers to digitize and represent process flow diagrams, including tank-level monitoring and real-time process data integration.
  • Developed web-based tools using React for visualizing complex system interactions and process flow.
  • Ensured data integrity and scalability for pharma-grade applications, complying with relevant quality standards.
  • Contributed to 80% of the data engineering workload, interfacing with software development and pharma process optimization.

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