This role pays less than
73%
of similar roles. Most pay
$136,050–$211,743
— the shaded band above.
At the midpoint, this role pays about
$140k
versus about
$174k
for comparable roles.
Based on 240 similar postings.
Employer
About Johnson & Johnson
Johnson & Johnson is a multinational corporation operating in three main segments: consumer health products, pharmaceuticals, and medical devices, known for brands like Tylenol, Band-Aid, and Janssen. Industry: Pharmaceuticals & Medical Devices
Johnson & Johnson currently has
60 open roles
on FindRole.
Listed pay typically runs
$117,000–$201,250
across 58 roles with salary data.
The Data Engineering Manager role at Johnson & Johnson’s Orthopaedics division in Warsaw, IN, Raynham, MA, Raritan, NJ, West Chester, PA, and Palm Beach Gardens, FL, involves leading the modernization of the data landscape through a scalable lakehouse architecture using Databricks and cloud technologies. This position requires defining data engineering strategies, governance frameworks, and execution plans to deliver high-quality, business-ready data products. Key responsibilities include driving technical leadership for business separation activities, establishing best practices in data modeling, pipeline design, and quality controls, and collaborating with cross-functional teams such as Product, Supply Chain, AI/ML, Data Governance, and IT. The ideal candidate has 8+ years of experience in data engineering, including leadership roles, with expertise in Databricks, PySpark, Python, SQL, dbt, Airflow, and cloud platforms like Azure or AWS. Knowledge of supply chain domains within MedTech is preferred, along with familiarity with lakehouse architecture, Delta Lake, and data observability frameworks.