Engineering Specialist

MSD

. Develop AI-ready data foundations, semantic data layers, data pipelines, dashboards, web applications, automations, and intelligent agents for DSCS digital operations .

Posted 9/15/2026full-timeRahway • New Jersey • United StatesJuniorMid-Level💰 $87,300 - $137,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing AI-ready data foundations, data pipelines, and automation solutions while ensuring compliance with industry standards. Proficient in Python and SQL, with a strong understanding of data modeling, quality checks, and AI deployment practices.

Highest-signal resume keywords

Python ProgrammingSQL Database ManagementData Pipeline DevelopmentAI/ML ExposureGitHub Version Control

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data EngineeringWeb Application DevelopmentAutomation SystemsData ModelingData Quality ChecksAPI DevelopmentData AnalysisJSONDeployment ManagementSemantic Layers

Soft Skills

Collaborative MindsetAttention to DetailWillingness to Learn

Tools & Technologies

Power BIVS CodeCopilot StudioGemini/Vertex AIMicrosoft Power PlatformDatabricksDataverseSharePointGit-based Version ControlAutomation Flows

Industry Keywords

GxP ComplianceBiopharmaceuticalRegulated EnvironmentsHuman OversightAccess Control

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Develop AI-ready data foundations, semantic data layers, data pipelines, dashboards, web applications, automations, and intelligent agents for DSCS digital operations
Design, build, test, document, and provide operational support for governed data products, reporting solutions, automations, and intelligent agents
Translate business needs into technical requirements, data requirements, agent instructions, test cases, and acceptance criteria
Apply Git-based version control, documentation, testing, reusable templates, and release-readiness checks
Collaborate with business, data, technology, quality, and compliance stakeholders
Support governed agents and AI-enabled workflows using Copilot Studio, Gemini/Vertex AI or comparable platforms, Microsoft Power Platform, APIs, connectors, and approved data sources
Contribute to agent lifecycle activities including intake, proof of concept, MVP readiness, deployment validation, sustainment, monitoring, and retirement
Build and maintain data pipelines, curated datasets, semantic layers, and reusable data products using Python, SQL, Databricks, Dataverse, Power BI, SharePoint, and other approved platforms
Develop and maintain dashboards, reports, web applications, Power Apps, Power Automate flows, and workflow automations
Create and execute test cases for agents, automations, data pipelines, and reports
Evaluate response quality, grounding accuracy, task success, failure modes, regression performance, monitoring needs, access controls, and responsible deployment requirements
Use GitHub, VS Code, branching, pull requests, code review, reusable templates, design notes, runbooks, decision logs, and handover materials

Requirements

What you’ll need

2+ years of experience in data engineering, software development, web application development, automation, data science, business intelligence, AI/ML, or a related technical role
Relevant internship, academic, research, or project experience may be considered
M.S. with 1+ year, or B.S. with 2+ years of relevant experience
Bachelor’s degree in Computer Science, Data Science, Engineering, Information Technology, or equivalent experience required
Hands-on experience with Python and SQL
Working knowledge of data pipelines, data modeling, data quality checks, semantic layers, metadata, lineage, and structured data products
Exposure to Generative AI, Large Language Models, prompt engineering, AI-enabled automation, or agentic workflow concepts
Experience using GitHub or comparable source-control systems, including repositories, branching, pull requests, code review, version control, and structured documentation
Comfort working in VS Code or comparable development environments
Ability to define test cases, validate outputs, identify failure modes, check data and answer quality, and support regression testing
Understanding of secure and responsible AI deployment, including access control, privacy, auditability, human oversight, monitoring, and escalation
Familiarity with Power BI or comparable BI platforms
Collaborative mindset, attention to detail, willingness to learn, and familiarity with pharmaceutical, biotech, GxP, or other regulated environments
Required skills include API Development, Automation Systems, Bioprocessing, cGMP Compliance, Computerized Maintenance Management Systems (CMMS), Data Analysis, Data Modeling, Data Pipelines, Data Storage Systems, Data Structures, Deployment Management, GitHub, JSON, Learning Agility, Python, and SQL Databases
Ability to work at West Point, Pennsylvania; Rahway, New Jersey; or Schachen, Switzerland
Visa sponsorship available
No valid driving license required

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
Hybrid work arrangement
Visa sponsorship
10% travel requirement