Associate Director, Pharmaceutical Data Engineer

MSD

. Design, build, and implement modern data foundations and pipelines .

Posted 10/30/2026full-timeUnited StatesSenior💰 $129,000 - $203,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing data foundations and pipelines using Python, Databricks, and advanced SQL, while effectively translating stakeholder needs into technical specifications. Proficient in developing custom web applications and automating processes to enhance operational efficiency in pharmaceutical supply chain environments.

Highest-signal resume keywords

Python ProgrammingAdvanced SQLDatabricks Lakehouse ArchitectureAgile/Scrum ExperienceStakeholder Requirement Gathering

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentMachine Learning Model ImplementationCustom Web Application DevelopmentData TransformationAutomationAgentic AI WorkflowsCI/CD PipelinesData Architecture OptimizationRapid-Prototyping with StreamlitVersion Control with GitHub

Soft Skills

Analytical Problem-SolvingWritten CommunicationVerbal CommunicationRelationship BuildingIndependent Decision-Making

Tools & Technologies

DatabricksVS CodeJira CloudConfluenceGitHubCline

Industry Keywords

Pharmaceutical Supply ChainERP SystemsSAPMESLIMSData EngineeringData StrategyAgile MethodologiesData AnalyticsAI-Agent Workflow Integration

Tech Stack

Tools & technologies

CloudERPPythonReactSQLUnity

About the role

Key responsibilities & impact

Design, build, and implement modern data foundations and pipelines
Employ Databricks, Python, and Agentic AI to manage data and generate advanced insights
Develop custom web applications and Proof-of-Concept solutions for later industrialization in the React Platform
Streamline processes and eliminate manual work through automation and machine learning
Contribute to the Data Strategy and Strategic Roadmap
Design, build, and optimize scalable data pipelines and architectures using Databricks, Python, Dataverse, and advanced SQL
Transform SAP, MES, LIMS, and other operational data from manufacturing and supply operations into analytics-ready data foundations
Gather stakeholder needs and translate them into business requirements and technical specifications
Design, test, and implement agentic AI workflows and machine learning models
Develop and deploy WebApps supporting business operations, data entry, and data-model interaction
Use VS Code, Cline, and GitHub for development, version control, code reviews, and CI/CD
Collaborate with data architects on scalable, secure, and efficient data models
Document processes, code, data models, and system architectures
Provide training and technical support to end-users

Requirements

What you’ll need

M.S. in Computer Science, Data Science, Engineering, Supply Chain Management, Operations Research, or closely related quantitative field, with at least 5 years of industrial, pharmaceutical, or relevant data engineering experience
B.S. in Computer Science, Data Science, Engineering, Supply Chain Management, Operations Research, Management Information Systems (MIS), or closely related quantitative field, with at least 7 years of industrial, pharmaceutical, or relevant data engineering experience
Strong expertise in Python and advanced SQL
Hands-on experience with Databricks Lakehouse architecture, Delta Lake, and Unity Catalog
Experience building custom data products and rapid-prototype front ends using Streamlit or React
Familiarity with SAP or similar ERP/manufacturing systems
Experience gathering complex requirements and translating them into technical roadmaps
Familiarity with or strong interest in Agentic Modeling, LLMs, and AI-agent workflow integration
Experience in Agile/Scrum environments
Experience with Jira Cloud and Confluence
Comfort with VS Code and AI-assisted coding tools
Strong experience with GitHub, code reviews, and automated CI/CD pipelines
Strong analytical and problem-solving skills
Ability to build relationships with technical and non-technical stakeholders
Excellent written and verbal communication skills
Independent decision-making and proactive project leadership
Domain knowledge in pharmaceutical drug substance or drug product supply chain operations is preferred
Experience with SAP MM/PP/QM/SD or MES/LIMS is a strong plus

Benefits

Comp & perks

Annual bonus
Long-term incentive, if applicable
Medical, dental, and vision healthcare
Other insurance benefits for employee and family
Retirement benefits, including 401(k)
Paid holidays
Vacation
Compassionate days
Sick days
Flexible work arrangements: Hybrid