Senior Data Engineer & Analytics Specialist

Merck

Rahway (NJ)

Hybrid

USD 117,000 - 184,000

Full time

5 days ago
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Benefits offered by this job

Medical insurance
Dental & Vision
401(k) plan
Paid time off

Job summary

Merck & Co., Inc. in Rahway, NJ is recruiting a Senior Specialist, Data Engineering and Analytics to advance data-driven operations in SM S&T. You will develop data pipelines, transform data, and deploy analytics solutions, collaborating with cross-functional teams to enable scalable, compliant insights.

The role emphasizes technical execution, problem solving, and effective communication across matrixed teams, with opportunities to influence manufacturing data usage and decision support.

Qualifications

  • Degree in engineering, pharmaceutical sciences, data science, IT or related field with five years of experience (MS with 3).
  • Experience in data engineering, analytics, manufacturing data, or related technical roles.
  • Experience with regulated environments and data preparation, transformation, and dashboards.

Responsibilities

  • Execute data engineering and analytics deliverables in support of SM S&T priorities.
  • Build, maintain, and enhance data pipelines, curated datasets, and analytical outputs.
  • Support delivery of dashboards, reporting, and analytics tools for visibility and decision support.
  • Investigate data issues and partner to improve quality and usability.
  • Collaborate with scientists and engineers to clarify requirements and deliver solutions.
  • Translate business questions into data requirements and outputs.

Skills

Data Engineering
Analytics
Dashboards
BI
Data Modeling
Data Visualization
SDLC
Collaboration

Education

Bachelor or higher

Tools

DataLynx
SEEQ
MPI
MES
Historians

Job description

Merck & Co., Inc. in Rahway, NJ is recruiting a Senior Specialist, Data Engineering and Analytics to advance data-driven operations in SM S&T. You will develop data pipelines, transform data, and deploy analytics solutions, collaborating with cross-functional teams to enable scalable, compliant insights.

The role emphasizes technical execution, problem solving, and effective communication across matrixed teams, with opportunities to influence manufacturing data usage and decision support.

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