Staff Data Engineer

Johnson & Johnson

Closes in 4 days Remote

Quick summary

Work type: Remote
Location: Palm Beach Gardens, FL
Posted: 4 days ago
Closes: Jul 2, 2026 (soon)
Nearby: 3 roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $176k

$130k most similar roles pay here $222k

This listing doesn't post a salary. Most similar roles pay $139,075–$213,375.

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 61 open roles on FindRole.

Listed pay typically runs $117,000–$201,250 across 58 roles with salary data.

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At a glance

TL;DR · Staff Data Engineer

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The Staff Data Engineer role at Medical Device Business Services, Inc. in Palm Beach Gardens, Florida, involves designing and maintaining scalable data pipelines for the Last Mile Orthopedic Supply Chain domain. Day-to-day responsibilities include integrating diverse data sources, developing data models, optimizing databases, and leading project deployments within an Agile framework. The ideal candidate will have expertise in Azure VPC architecture, PySpark, SQL, Python, R, and cloud platforms like Azure Data Factory and Databricks. They should also be proficient with DevOps tools such as Jenkins and Terraform, and possess knowledge of transactional ERP systems including SAP OTC and JDE 8.12. The role requires a deep understanding of supply chain processes, data engineering best practices, and the ability to mentor junior engineers while ensuring robust cloud infrastructure for seamless data flow.

Skills

Azure Data Factory Databricks PySpark Python R SQL PostgreSQL Oracle Redshift Snowflake Power BI Tableau Jenkins Terraform Bitbucket JIRA Confluence SAP OTC SAP B2B Azure VPC RESTful APIs SOAP Oval Edge Agile DevOps

What you'll do

Design and maintain scalable data pipelines for the orthopedic supply chain domain.
Develop and optimize data models and schemas for efficient storage and retrieval.
Manage Azure VPC architecture to ensure secure, robust cloud infrastructure.
Lead project deployment in Agile frameworks, incorporating best practices.
Mentor junior engineers on coding standards and data pipeline design principles.
Integrate diverse data sources using APIs, ensuring consistency and reliability.

What we're looking for

5+ years of experience as a Data Engineer or related role.
Expertise in data architecture, modeling, integration using tools like Databricks and Azure Data Factory.
Proficiency in PySpark, SQL, Python, and R for data engineering tasks.
Experience with cloud platforms such as Azure, Snowflake, and Google Cloud Platform.
Knowledge of Agile SDLC methodologies including scrums, sprints, and retrospectives.
Familiarity with transactional ERP systems like SAP OTC and JDE 8.12.
Understanding of Last Mile Orthopedic Supply Chain processes and data engineering.

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