Senior Data Engineer & Analytics Innovator

Msd Ireland; Rahway (NJ); Hybrid; USD 117,000 - 184,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) retirement plan

Paid holidays

Paid vacation

Sick days

Job summary

Merck & Co., Inc. in Rahway, NJ is seeking a Senior Specialist of Data Engineering and Analytics to advance SM S&T data initiatives.

You will deliver high-quality data pipelines, analytics, and dashboards while collaborating with cross-functional teams to drive manufacturing insights. The role requires strong technical skills, problem solving, and the ability to translate business needs into reliable data solutions in a regulated biopharma environment.

Qualifications

• Degree in Engineering, Pharmaceutical Sciences, Data Science, IT, or CS with 5 years of experience (MS with 3).
• Experience in data engineering, analytics, manufacturing systems, or related roles.
• Working knowledge of regulated pharma/biotech data environments.
• Experience with data prep, transformation, pipelines, analytics tools, dashboards.

Responsibilities

• Execute data engineering and analytics deliverables for SM S&T priorities.
• Build and maintain data pipelines and curated datasets.
• Support dashboards, reporting, and analytics tool delivery.
• Investigate data issues and improve data quality and usability.
• Collaborate with scientists, engineers, and digital teams to define requirements.
• Translate business questions into data requirements and outputs.

Skills

Data Engineering

Analytics

BI

Dashboard Reporting

Data Modeling

Data Management

Collaboration

SDLC

Delivery Management

Education

Bachelor's degree or higher in Engineering/IT/Data Science

Tools

DataLynx

SEEQ

MPI

MES

Historians

Job description

Merck & Co., Inc. in Rahway, NJ is seeking a Senior Specialist of Data Engineering and Analytics to advance SM S&T data initiatives.

You will deliver high-quality data pipelines, analytics, and dashboards while collaborating with cross-functional teams to drive manufacturing insights. The role requires strong technical skills, problem solving, and the ability to translate business needs into reliable data solutions in a regulated biopharma environment.