Associate Director, Pharmaceutical Data Engineer
Backend Developer
Manager
Analytics
Artificial Intelligence
Big Data
Bigdata
Business Intelligence
Cloud Data Engineering
Cloud Data Platform
Cloud Platform
Cloud Platforms
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Governance
Data Integration
Data Lakehouse
Data Management
Data Pipeline
Data Platform
Data Processing
Data Science
Data Security
Data Visualization
Data Warehouse
Database
Databases
Databricks
Databricks Lakehouse
Design
Digital Marketing
Generative AI
Healthcare Data
Information Technology (IT)
Large Language Models
Machine Learning
Pharmaceutical
Programming
Programming Language
Programming Languages
Reporting and Analytics
Software Development
SQL
Visual Design
Job Description
Drive modern pharmaceutical supply chain data foundations by building scalable data pipelines, custom web apps, and AI workflows for clinical and commercial operations.
Responsibilities
- Design, build, and implement modern data foundations and pipelines to meet business needs.
- Apply innovation and technology solutions (including Databricks, Python, and Agentic AI) to manage data and deliver advanced insights.
- Develop custom WebApps to support Proof-of-Concept solutions, later industrialized in a React Platform.
- Streamline workflows by reducing manual effort using advanced automation and machine learning.
- Contribute to Data Strategy and a Strategic Roadmap for future-ready systems and intelligent data architectures.
- Design, build, and optimize scalable data pipelines and architectures using Databricks, Python, Dataverse, and advanced SQL.
- Transform raw operational data from SAP, MES, LIMS, and other manufacturing and supply systems into analytics-ready data foundations.
- Act as a bridge between business and technology by translating stakeholder needs into clear business requirements and precise technical specifications.
- Design, test, and implement agentic AI workflows and machine learning models to automate decision-making and generate proactive business insights.
- Develop and deploy user-friendly WebApps for business operations, data entry, and interaction with underlying data models.
- Use modern development tooling (VS Code) and AI coding assistants (e.g., Cline) with GitHub for version control of scripts, applications, and data models.
- Partner with data architects to ensure scalable, secure, and efficient data models that support analytical and transactional workloads.
- Document processes, code, data models, and system architectures; provide training and technical support for end-users as technologies are rolled out.
Requirements
- Python and advanced SQL expertise.
- Hands-on experience with the Databricks Lakehouse, Delta Lake, and Unity Catalog for data governance.
- Proven ability to build custom data products and rapidly prototype front ends using Streamlit or React.
- Strong familiarity with SAP (or similar ERP/manufacturing systems) as a primary source for complex supply chain and manufacturing data.
- Track record gathering complex requirements from non-technical stakeholders and turning them into actionable technical roadmaps.
- Familiarity with or strong interest in Agentic Modeling, LLMs, and integrating AI agents into workflows (e.g., Copilot Studio).
- Experience working in an Agile/Scrum environment using Jira Cloud (sprint planning, story estimation, tracking) and Confluence for multi-system documentation.
- Comfort working in VS Code with AI-assisted coding tools to accelerate development.
- Strong GitHub usage for version control, collaborative code reviews (PRs), and automated CI/CD pipelines.
- Strong analytical and problem-solving skills for complex data challenges and technical solution delivery.
- Demonstrated ability to build trust-based relationships across technical and non-technical stakeholders to execute priorities and drive change.
- Excellent written and verbal communication skills, including clear communication of technical concepts across global professional levels.
- Independent decision-making with a proactive approach to leading projects and delivering results.
Preferred domain knowledge
- Familiarity with pharmaceutical drug substance or drug product supply chain operations (e.g., process orders, batch genealogy, MRP/MPS planning, tech transfer, quality management, global distribution).
- Experience with SAP modules (MM/PP/QM/SD) or related manufacturing execution systems (MES/LIMS) is a strong plus.
Technologies
- Python, SQL, Databricks, Databricks Lakehouse architecture, Delta Lake, Unity Catalog
- Dataverse, Agentic AI, Agentic Modeling, Large Language Models (LLMs), Copilot Studio
- Streamlit, React, WebApps
- SAP, MES, LIMS
- VS Code, Cline, GitHub, Jira Cloud, Confluence
- CI/CD
Benefits
- Medical, dental, vision healthcare and other insurance benefits (for employee and family)
- Retirement benefits including 401(k)
- Paid holidays
- Vacation
- Compassionate and sick days
Job details
- Location: Rahway, NJ (onsite)
- Primary location for this posting: USA - Pennsylvania - West Point
- Work arrangement: Hybrid
- Employment status: Regular
- Experience: 5+ years
- Education: M.S. degree in Computer Science, Data Science, Engineering, Supply Chain Management, Operations Research, or a closely related field
- Salary range: $129,000.00 - $203,100.00 (primary location)
- Requisition ID: R424311
- Job posting end date: 11/13/2026
Similar Jobs
