Rahway, NJ

Engineer Jobs in Rahway, NJ

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Today

Associate Director, Pharmaceutical Data Engineer

Merck Rahway, NJ

Rahway, NJ

Today

$129k - $203k/yr Full time Backend Developer Manager Analytics

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Job Description

Merck is modernizing digital operations with a data foundation built for analytics-ready intelligence and automation. In this onsite role in Rahway, NJ, you will help shift from traditional BI toward scalable data pipelines, custom data products, and agentic AI workflows that support pharmaceutical clinical and commercial supply chain needs.

What you’ll do

Design, build, and implement modern data foundations and pipelines to address business requirements.
Use innovation and technology such as Databricks, Python, and Agentic AI to manage data and improve the way advanced insights are generated.
Develop WebApps for Proof-of-Concept solutions, with an eye toward industrializing them later in the React Platform.
Streamline operations by reducing manual work through advanced automation and machine learning.
Support the Data Strategy and Strategic Roadmap, enabling a transition to future-ready systems and intelligent data architectures.
Build and optimize scalable data pipelines and architectures using Databricks, Python, Dataverse, and advanced SQL, transforming raw SAP, MES, LIMS, and other operational data into accessible analytics-ready foundations.
Bridge business and technology by translating stakeholder needs into clear business requirements and precise technical specifications, working with supply chain planners, quality teams, and manufacturing stakeholders across drug substance and drug product functions.
Design, test, and implement agentic AI workflows and machine learning models to automate decision-making and generate proactive business insights.
Create and deploy custom, user-friendly WebApps to support business operations, data entry, and interaction with underlying data models.
Develop in modern environments using VS Code and AI coding assistants such as 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 both analytical and transactional workloads.
Document processes, code, data models, and system architectures, and provide training and technical support for end-users as new technologies are rolled out.

What you bring

Strong expertise in Python and advanced SQL.
Hands-on experience with Databricks Lakehouse, Delta Lake, and Unity Catalog for robust data governance.
Experience building custom data products and rapid-prototyping front ends (including Streamlit and React).
Familiarity with SAP (or similar ERP/manufacturing systems) as a primary source for complex supply chain and manufacturing data.
Proven ability to gather complex requirements from non-technical stakeholders and translate them into actionable technical roadmaps.
Familiarity with or strong interest in Agentic Modeling, Large Language Models (LLMs), and integrating AI agents into workflows (for example, Copilot Studio).
Experience working in Agile/Scrum using Jira Cloud and maintaining technical documentation with Confluence.
Comfort working in VS Code and using AI-assisted coding tools to accelerate development.
Strong experience with GitHub including PR-based collaboration and CI/CD.
Strong analytical and problem-solving skills to tackle complex data challenges.
Ability to build trust-based relationships across technical and non-technical stakeholders and drive change.
Excellent written and verbal communication skills across global audiences.
Independently lead projects with a proactive approach to delivering results.

Preferred domain knowledge

Familiarity with pharmaceutical drug substance or drug product supply chain operations, including concepts such as process orders, batch genealogy, MRP/MPS planning, tech transfer, quality management, or global distribution.
Experience with SAP (MM/PP/QM/SD) or related manufacturing execution systems (MES/LIMS) is a strong plus.

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

Location: Rahway, NJ (onsite)
Work arrangement: Hybrid
Salary range: USD 129,000 - 203,100 per year
Employee status: Regular
End date: 11/13/2026
Requisition ID: R424311
Minimum experience: 5 years
Education: M.S. degree in Computer Science, Data Science, Engineering, Supply Chain Management, Operations Research, or a closely-related field

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1mo ago

Director, Cybersecurity Engineering

Merck Rahway, NJ 🇺🇸 Remote

Rahway, NJ

1mo ago Closed

$157k - $247k/yr Full time Manager Ai Security Cloud Platforms

This position is no longer accepting applications (closed Oct 31, 2026).

Job Description

Merck is seeking a Director of Cybersecurity Engineering to lead an enterprise Zero Trust program, with responsibility for strategy, architecture, implementation, and ongoing operations. This role will manage a U.S.-based Zero Trust engineering team and oversee a Zscaler-based SASE platform deployment, including continuous improvement.

Location and Work Model

Location: Rahway, NJ (remote)
Flexible work arrangements: Remote
Travel requirements: 10%
Shift: 1st - Day
Relocation: No
VISA sponsorship: No
Employee status: Regular
Requisition ID: R419880

Role Summary

As Director of Zero Trust Infrastructure Security, you will lead the design, deployment, integration, and operational enhancement of an enterprise Zero Trust security program. You will also oversee Zscaler-based SASE platform deployment and continuous refinement to support secure access for users, applications, and workloads.

Responsibilities

Lead the design, deployment, integration, maintenance, and continuous enhancement of a Zscaler-based SASE platform to enable secure access for users, applications, and workloads.
Partner with infrastructure, networking, cloud, cybersecurity, application teams, and other business groups to implement Zero Trust principles and network security solutions across enterprise systems and platforms.
Oversee implementation, configuration, monitoring, detection, and response for security technologies to maintain operational excellence and a strong security posture.
Set Zero Trust engineering standards, mentor and develop team members, and identify ways to use AI-driven capabilities to improve threat detection, automation, security analytics, and operational efficiency.
Stay current with progress in Zero Trust, cloud security, network security, AI security, and emerging technologies to assess and adopt solutions aligned with the security strategy.

Requirements

Education: Bachelor’s degree in computer science, Information Technology, Cybersecurity, or a related field is required.
Experience: Minimum 10+ years in Information Technology.
Zero Trust: 5+ years designing, implementing, and managing Zero Trust and Zscaler security initiatives.
Zero Trust knowledge: Strong understanding of Zero Trust principles, methodologies, and technologies.
Platform experience: Advanced hands-on experience designing, deploying, and operating Zscaler solutions in large-scale enterprise environments.
Security architecture: Expertise in AI Security, network security, endpoint security, and cloud security architecture.
Technical scope: Experience with firewalls, intrusion detection and prevention systems (IDPS), network segmentation, and secure remote access technologies.
Enterprise Zero Trust engineering: Extensive experience with Zscaler Internet Access (ZIA), Zscaler Private Access (ZPA), Zero Trust Network Access (ZTNA), cloud security, network transformation, and enterprise-scale Zero Trust programs.
Leadership: Proven success leading high-performing Zero Trust engineering teams and guiding complex security transformations, supporting IT and security teams in implementing and operating Zero Trust principles.
Certifications: Relevant industry certifications, including Zscaler certifications, CISSP, CIAM, or similar credentials, are highly desirable.
Competencies: Strong analytical and problem-solving skills, ability to learn and apply emerging technologies, and excellent communication and collaboration capabilities.

Technologies

Zero Trust
Secure Access Service Edge (SASE)
Zscaler
Zscaler Internet Access (ZIA)
Zscaler Private Access (ZPA)
Zero Trust Network Access (ZTNA)
AI Security
Firewalls
Intrusion detection and prevention systems (IDPS)
Network segmentation
Secure remote access technologies
Cloud security
Network security
Endpoint security
Certificate Services
Operational Technology (OT) Security

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
Annual bonus and long-term incentive, if applicable

Skills

Application Security
Certificate Services
Cloud Computing Security
Cloud Security
Communication
Corporate Security Management
Cross-Cultural Awareness
Cybersecurity
Cybersecurity Analytics
Cybersecurity Operations
Delivery of Security Applications
Design Applications
Endpoint Security Management
Information Security
IT Security Architecture
Network Security
Network Segmentation
Operational Technology (OT) Security
Security Analysis
Security Configuration Management
Security Engineering
Security Fundamentals
Security Infrastructure
Security Monitoring

Application Notes

Current Employees apply HERE
Current Contingent Workers apply HERE
US and Puerto Rico residents only: Please click here if you need an accommodation during the application or hiring process.

Posting End Date

This job posting is effective until 11:59:59PM on 10/3/2026 (apply no later than the day before the listed job posting end date).

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1mo ago

Associate Director, Cybersecurity Engineering

Merck Rahway, NJ

Rahway, NJ

1mo ago Closed

$142k - $224k/yr Full time Associate Director Cybersecurity Tools Identity and Access Management

This position is no longer accepting applications (closed Oct 26, 2026).

Job Description

Merck is building its Privileged Access Management (PAM) capabilities to support Zero Trust goals and reduce cyber risk. In this onsite role in Rahway, New Jersey, you will lead the PAM engineering organization, set strategy and standards, and drive delivery of enterprise PAM and secrets management services across environments and platforms.

Role summary

The Privileged Access Management (PAM) Team Lead (R4, Associate Director) owns PAM strategy, engineering execution, service health, and continuous improvement. You will lead a global PAM engineering team while partnering with IAM Product, architecture, cybersecurity, and stakeholders to expand privileged access controls and improve identity security outcomes.

Responsibilities

Own and execute the enterprise PAM roadmap aligned to cybersecurity strategy, Zero Trust objectives, and identity security initiatives.
Define and maintain PAM standards and governance practices with security, risk, and architecture teams.
Develop and present PAM posture, risk metrics, and remediation plans to leadership, governance, and audit stakeholders.
Partner across teams to prioritize PAM adoption, expand privileged access controls, and remediate risk.
Lead the design and delivery of enterprise PAM and secrets management capabilities.
Modernize privileged access using risk-based, least-privilege, and just-in-time access models.
Translate PAM strategy into scalable designs, standards, and patterns across all environments.
Lead evaluations of new PAM technologies based on need, risk, architectural fit, and cost.
Oversee remediation of PAM vulnerabilities, control gaps, audit findings, and technical debt.
Lead daily PAM engineering activities, drive execution, remove delivery barriers, and develop team capabilities.
Promote Agile ways of working and continuous improvement.
Mentor and influence the team’s personal and professional development.
Partner with the IAM Product Owner to manage the backlog aligned with OKRs and team capacity.
Be accountable for the health, stability, and continuous improvement of PAM services.
Partner with stakeholders to ensure capabilities meet business and security needs while reducing risk.

Requirements

Bachelor’s degree (or equivalent experience), preferably in Computer Science, Information Systems, or a related field.
10+ years of experience in cybersecurity or Identity and Access Management (IAM), including at least 7 years focused on Privileged Access Management (PAM).
Experience leading and developing security engineering teams within a large, global organization.
Strong understanding of enterprise PAM and secrets management platforms (e.g., Delinea, CyberArk, BeyondTrust, and/or HashiCorp Vault).
Hands-on knowledge of PAM solutions supporting Windows, UNIX/Linux, and databases.
Experience delivering solutions using Agile methodologies and collaborating with Product Owners using tools such as Jira.
Excellent communication skills to translate complex technical concepts, risks, and recommendations to technical and non-technical stakeholders.

Technologies

Privileged Access Management (PAM), secrets management
Delinea, CyberArk, BeyondTrust, HashiCorp Vault
Windows, UNIX/Linux, Active Directory, Microsoft Entra ID
Cloud identity services, AWS, Azure, GCP
Kubernetes
ServiceNow, PowerShell, Jira
NIST, ITIL, Zero Trust

Preferred experience & skills

Hands-on experience with identity platforms such as Active Directory, Microsoft Entra ID, cloud identity services, and/or HashiCorp Vault.
Hands-on knowledge of PAM solutions in multi-cloud environments (AWS, Azure, and GCP) and Kubernetes platforms.
Familiarity with ServiceNow for incident and change management processes.
Experience automating administrative and operational tasks using PowerShell or similar technologies.
Strong understanding of cybersecurity fundamentals, secure SDLC practices, Zero Trust principles, and cloud-native security controls.
Knowledge of industry standards and frameworks such as NIST, ITIL, and modern identity security practices.
Experience working in healthcare, life sciences, or other highly regulated industries.
Industry-recognized certifications such as CISSP, Security+, or comparable credentials.

Required skills

Application Security
Cloud Security
Cybersecurity Operations
Data Protection
Delivery of Security Applications
Design Applications
DevOps Coaching
Influence
Information Security
SLA Management
System Designs
Technical Advice
Zero Trust Identity

Compensation and location

Location: Rahway, NJ (onsite)
Salary: USD 142,400 - 224,100 per yearly

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

Flexible work arrangements

Hybrid

Job posting end date: 10/8/2026 (effective until 11:59:59PM on the day BEFORE the listed end date).

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1mo ago

Associate Director, Data Engineer

Merck Rahway, NJ

Rahway, NJ

1mo ago Closed

$129k - $203k/yr Full time Manager Big Data Cloud Data Engineering

This position is no longer accepting applications (closed Oct 22, 2026).

Job Description

Merck’s DSCS Digital Technologies team is seeking an Associate Director, Data Engineer to help design, build, and maintain a data foundation that enables data-driven modeling for sterile drug product development. In this onsite role in Rahway, New Jersey, you will capture and curate SPD experimental and process data and deliver it into machine learning, statistical, and hybrid modeling workflows.

What You’ll Do

Partner with SPD experimentalists, process engineers, and analytical scientists to gather requirements that directly support modeling pipeline needs.
Design and implement robust, scalable data pipelines to ingest experimental and process data across SPD unit operations such as mixing, pooling, pumping, filling, filtration, and freeze-drying, plus analytical characterization data.
Work alongside teams on process modeling by translating data-driven model requirements into analysis-ready, feature-rich datasets.
Define and enforce data standards, metadata schemas, and ontologies to keep SPD data interoperable and readily consumable by modeling workflows.
Automate data ingestion from laboratory instruments, electronic lab notebooks, PAT systems, and manufacturing systems, integrating with cloud-based storage and compute environments.
Create data analysis and visualization workflows that surface insights from SPD data.
Design and build dashboards, reports, and data exports for scientific and cross-functional stakeholders.
Curate data and define requirements for automating data ingestion at scale.
Support SPD digital data strategy by identifying opportunities to improve data capture at the source and reduce friction between experimentation and modeling.
Communicate and collaborate effectively across scientific, engineering, and digital disciplines.
Embrace Merck’s core values of inclusion and foster a supportive culture where all can thrive.
Collaborate in a dynamic, integrated, multidisciplinary team environment and contribute to scientific innovation through trusted stakeholder partnerships.

Qualifications

Ph.D. in Computer Science, Data Science, Engineering, Chemistry, Physics, Biology, Pharmaceutical Sciences, or closely related field, with at least 3 years of industrial/pharmaceutical or relevant experience; OR
M.S. in the same fields, with at least 5 years of industrial/pharmaceutical or relevant experience; OR
B.S. in the same fields, with at least 7 years of industrial/pharmaceutical or relevant experience.
Hands-on experience in sterile drug product development, sterile DS and DP manufacturing processes, or closely related pharmaceutical development, plus a demonstrated transition into a data engineering, data science, or computational role.
Experience developing and deploying data pipelines, ETL/ELT workflows, and data integration solutions in a scientific or pharmaceutical context.
Proficiency programming in Python and/or R, and experience with Posit/RStudio and Jupyter.
Working knowledge of how data-driven models consume and depend on experimental data, sufficient to anticipate modeler needs and deliver appropriately structured datasets.
Excellent communication, creativity, and interpersonal skills.
Proven ability to deliver complex solutions under compressed timelines in a dynamic environment.
Ability to work effectively in a team environment with cross-functional interactions.
Motivation to learn new skills, willingness to take on new challenges, and scientific curiosity.

Technologies You May Use

Python, R, Posit/RStudio, Jupyter
ETL/ELT
Shiny, Streamlit
Spotfire, Dash, Power BI, Tableau
AWS: S3, Redshift, Glue, Athena, SageMaker
Dataiku, Databricks
SQL
Graph databases
Electronic lab notebooks (ELN), LIMS, historian/SCADA systems, PAT
Cloud-based storage and compute environments

Benefits

Annual bonus and long-term incentive, if applicable
Medical, dental, vision healthcare and other insurance benefits (for employee and family)
Retirement benefits, including 401(k)
Paid holidays, vacation, and compassionate and sick days

Role Details

Location: Rahway, NJ (onsite)
Work arrangement: Hybrid
Employee status: Regular
Requisition ID: R418480
Job posting end date: 10/5/2026
Salary range: USD 129,000 - 203,100 per year

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4mo ago

Cybersecurity Engineer

Atlas Rahway, NJ

Rahway, NJ

4mo ago Closed

$90 - $100/hr Full time AI Enablement Azure Cloud

This position is no longer accepting applications (closed Jul 7, 2026).

Job Description

Atlas is seeking a mid-senior cybersecurity engineer based in Rahway, NJ (hybrid) to apply AI and ML across detection, remediation, DevSecOps, identity, and automation. The role includes piloting safe AI integrations and mentoring the team to advance security program maturity.

Responsibilities

Evaluate current detection, response, DevSecOps, identity, and automation initiatives; identify pragmatic AI opportunities that can retrofit into live programs.
Prioritize and execute AI pilots that deliver rapid, measurable cyber value; document outcomes, safety controls, and scalable runbooks for expansion.
Develop AI-enabled detection and triage capabilities that fuse CrowdStrike telemetry with Microsoft Sentinel data to reduce analyst workload and improve prioritization.
Augment existing SOAR and ServiceNow runbooks with AI-assisted enrichment and decisioning while preserving human oversight and audit trails.
Strengthen DevSecOps by introducing AI-assisted IaC checks, secure IaC templates (Terraform), and GitHub Actions automations to prevent misconfigurations.
Advance Zero Trust and identity engineering with AI to highlight risky access patterns and propose refinements to conditional access (Zscaler, Azure AD).
Produce production-ready engineering artifacts such as Terraform modules, Sentinel analytics, ServiceNow runbooks, GitHub Action snippets, and test harnesses that integrate with existing processes.
Coach and mentor team members through internal knowledge sharing, playbooks, pair-programming, and ongoing support for AI features.
Maintain rigorous model governance and security controls for AI use, including data lineage, access controls, monitoring, explainability, test datasets, and rollback procedures.
Measure and report security outcomes, including MTTR, detection accuracy, analyst time saved, incident volume changes, and coverage improvements.
Advocate for pragmatic AI adoption within the organization, balancing innovation with safety, compliance, and operational sustainability.

Requirements

5 to 10 years of hands-on cybersecurity engineering experience delivering production solutions across detection, automation, DevSecOps, identity, or endpoints.
Proven ability to introduce and integrate AI and ML into live security programs with measurable improvements.
Strong Terraform and GitHub Actions expertise for IaC and pipeline security; capable of producing reusable modules and CI integrations.
Operational experience with CrowdStrike telemetry and Microsoft Sentinel analytics and playbooks.
Experience building ServiceNow and SOAR automations and integrating runbooks with detection tooling.
Familiarity with Zero Trust controls, including Zscaler and Azure AD conditional access.
Production scripting or programming skills (Python preferred) and experience deploying automation to live environments with rollback and auditability.
Strong communicator and collaborator, adept at mentoring less-experienced teammates and creating clear documentation and training artifacts.
Systems thinker with a pragmatic, risk-based approach to prioritization and delivery.

Technologies

Terraform
GitHub Actions
CrowdStrike
Microsoft Sentinel
Zscaler
Azure AD
ServiceNow

CATALYZE AI ADOPTION

Bring forward-thinking, practical AI engineering into existing security programs to reduce risk faster and increase team effectiveness.
Demonstrate measurable wins by pilots that the team can operationalize and scale, such as reduced MTTR and higher coverage.
Lower adoption friction by producing reusable artifacts, runbooks, and training that enable sustainable AI integrations within the current team.
Ensure responsible AI adoption through model governance, human-in-the-loop controls, and clear rollback and audit procedures.

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Engineer Jobs in Rahway, NJ

Associate Director, Pharmaceutical Data Engineer

Director, Cybersecurity Engineering

Associate Director, Cybersecurity Engineering

Associate Director, Data Engineer

Cybersecurity Engineer

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