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# Senior Data Engineer

- **Company:** Solventum Corporation
- **Location:** Maplewood, NJ, United States (Remote available)
- **Experience:** Expert
- **Salary:** $45,760.0 - $95,680.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Data Architecture, Extract Transform Load (ETL), Data Structures, Data Warehousing, Performance Tuning, Data Streaming, Cloud Platform System, Snowflake, Electronic Medical Records, Star Schema, Data Management, Tools for Reporting, Data Pipelines
- **Published:** May 29, 2026
- **Apply:** https://www.jofdav.com/jobs/58216786-senior-data-engineer

## About the Role

Bachelor's Degree or higher AND at least (8) eight years of proven professional experience as a Data Engineer in a private, public, government or military environment, * Deep understanding of the healthcare landscape, including electronic health records (EHR), healthcare data structures, and strict regulatory compliance requirements (HIPAA).

 * Hands-on, advanced proficiency with Snowflake
 * Strong working knowledge of cloud computing platforms, specifically Azure and AWS.
 * Demonstrated expertise in building automated ETL processing workflows.
 * Proven experience designing dimensional data models (specifically star schema development).
 * Experience building and maintaining a semantic layer for enterprise analytics.
 * Strong analytical skills with the ability to troubleshoot complex data pipeline issues, optimize system performance, and translate business requirements into reliable technical solutions.

## Description

As a(n) Senior Data Engineer you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you will make an impact by:

 * Data Pipeline Development: Design, build, and optimize robust ETL/ELT processing pipelines to ingest and transform complex healthcare data from disparate sources.
 * Data Modeling & Architecture: Architect and maintain scalable data solutions utilizing Snowflake as our primary data cloud, leveraging both Azure and AWS environments. Design and deploy efficient star schemas and dimensional models to optimize for analytical querying.
 * Semantic Layer Development: Build and maintain a robust semantic layer to translate complex data structures into business-friendly metrics, ensuring consistent definitions and seamless integration with downstream reporting tools.
 * Master Data Management: Collaborate closely with data leadership to synchronize disparate data streams, ensuring data quality and the successful deployment of Customer 360 initiatives.
 * Healthcare Compliance: Ensure all data architecture, storage, and processing strictly adhere to healthcare compliance standards (e.g., HIPAA, HITRUST) and best practices for handling Protected Health Information (PHI).


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