Senior Data Engineer - Remote US | AI-Driven Analytics

Solventum in; Maplewood (MN); Remote; USD 143,000 - 197,000; Full time

Benefits offered by this job

Medical, Dental & Vision

Health Savings Accounts

Retirement benefits

Job summary

Solventum, a healthcare innovator, is seeking a Senior Data Engineer to support Commercial Operations Analytics. You will design trusted data products for order-to-cash reporting, operational dashboards, scorecards, and AI-enabled decision support across the business.

You will own end-to-end delivery from requirements to production, build scalable data models in Snowflake, ETL/ELT pipelines, data quality frameworks, and governance processes, while collaborating with cross‑functional teams to

Qualifications

• Bachelor’s degree or higher with 8+ years in data engineering or analytics.
• High School Diploma with 12+ years in data engineering or analytics.
• Five (5) years of hands-on experience developing complex SQL, analytical data models, and production ETL/ELT solutions in a cloud data warehouse environment.
• Three (3) years of experience designing dimensional models, semantic layers, reusable reporting datasets, or governed business metrics for enterprise analytics.
• Three (3) years of experience with version-controlled development, automated testing, controlled deployments, and production support for data solutions.
• Three (3) years experience translating complex business requirements and rules into reliable technical solutions while communicating effectively with technical and non-technical stakeholders.
• Experience using AI-assisted development tools responsibly, including validation of generated code, recommendations, tests, and documentation before production use.
• Advanced experience with Snowflake, SQL, Python, dbt or a comparable transformation framework, GitHub, Visual Studio Code, and cloud platforms such as Azure or AWS.
• Experience creating automated reconciliation, data-quality, observability, or validation solutions and optimizing SQL or warehouse workloads for performance and cost.
• Experience enabling Tableau, Power BI, natural-language analytics, machine learning, retrieval-augmented generation, or agent-based solutions through trusted and governed data products.
• Experience supporting order-to-cash, revenue cycle, billing, collections, productivity, customer service, healthcare, medical technology, or other regulated commercial operations.
• Demonstrated technical leadership through mentoring, engineering standards, architecture decisions, or coordination of complex cross-functional data deliveries.

Responsibilities

• Design and maintain scalable analytical data models and semantic layers.
• Build and optimize ETL/ELT workflows and data integration.
• Create automated data-quality and regression-testing frameworks.
• Own delivery from requirements to production deployment and monitoring.
• Collaborate on AI-assisted development with governance and security.

Skills

SQL

Data modeling

ETL/ELT

Snowflake

Python

dbt

GitHub

Azure

AWS

Tableau

Power BI

AI-assisted tools

Education

Bachelor’s Degree or higher

High School Diploma/GED with 12 years experience

Tools

VS Code

Cloud platforms

Job description

Solventum, a healthcare innovator, is seeking a Senior Data Engineer to support Commercial Operations Analytics. You will design trusted data products for order-to-cash reporting, operational dashboards, scorecards, and AI-enabled decision support across the business.

You will own end-to-end delivery from requirements to production, build scalable data models in Snowflake, ETL/ELT pipelines, data quality frameworks, and governance processes, while collaborating with cross‑functional teams to