Principal Engineer, Data Engineering

Johnson & Johnson

Closes in 3 days Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$102,000–$170,000 / yr
Posted
5 days ago
Closes
Jul 1, 2026 (soon)

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $175k
This role $136k
$89k most similar roles pay here $224k

This role pays less than 76% of similar roles. Most pay $139,500–$211,200 — the shaded band above. At the midpoint, this role pays about $136k versus about $175k 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 64 open roles on FindRole.

Listed pay typically runs $117,000–$201,250 across 61 roles with salary data.

Most-posted roles

View all roles at Johnson & Johnson

At a glance

TL;DR · Principal Engineer, Data Engineering

Johnson & Johnson seeks an experienced Data Engineering Lead to modernize its Global MedTech Commercial data platforms in New Brunswick, NJ, with remote work options. This senior-level role involves leading technical architecture and engineering decisions under the guidance of the MedTech Global Data Strategy Leader, focusing on Azure, Microsoft Fabric, Databricks, and Power BI to build a unified data model that enhances commercial capabilities while reducing reliance on legacy systems. The candidate will drive the design and implementation of enterprise data pipelines, govern analytics consumption, apply data mesh principles, and enforce robust data governance practices. Essential skills include extensive experience in Agile Development, hands-on expertise with cloud-native technologies, and strong communication abilities to align technical solutions with business needs across multiple squads and teams.

What you'll do

  • Define and execute technical architecture for MedTech's data platform.
  • Lead design and implementation of enterprise data pipelines using Azure and Microsoft Fabric.
  • Enable governed analytics consumption through Power BI, ensuring performance and security.
  • Establish and enforce data governance standards and practices across the domain.
  • Drive development and selection of technical solutions in collaboration with business partners.
  • Provide hands-on technical leadership during system reviews and approvals.

What we're looking for

  • 10+ years of experience in data engineering and technical architecture in an enterprise environment.
  • Deep expertise with Azure, Microsoft Fabric, Databricks, and Power BI.
  • Strong knowledge of data mesh, data federation, data modeling, and governance practices.
  • Proven ability to lead architecture decisions and set engineering standards across multiple teams.
  • Extensive experience in Agile Development methodologies and team leadership.
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field (Master’s preferred).
  • Demonstrated skill in communicating complex technical concepts to both technical and non-technical stakeholders.

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