Senior Data Engineer - Remote US | AI Analytics & ETL

SOLVENTUM; United States; Remote; USD 143,000 - 197,000; Full time

Benefits offered by this job

Medical, Dental & Vision insurance

Health Savings Accounts

Flexible Spending Accounts (HSA/FSA)

Disability Benefits

Life Insurance

Voluntary Benefits

Paid Absences

Job summary

Solventum is hiring a Senior Data Engineer for Commercial Operations Analytics, working remotely in the United States. You will design data products for order-to-cash reporting, dashboards, and AI-enabled decision support, building scalable data models and reliable ETL/ELT processes.

Requirements include a bachelor’s or higher with 8+ years in data engineering, 5+ years optimizing cloud data warehouses, and strong SQL, Python, dbt skills. Travel up to 15% may be required.

Qualifications

• Bachelor’s degree or higher with 8 years in data engineering or related fields.
• Experience designing data models, ETL/ELT in cloud data warehouses.
• Hands-on SQL development and production data solutions.
• Ability to translate business requirements to technical solutions.
• Experience with version-controlled development and automated testing.

Responsibilities

• Design and maintain scalable analytical data models and semantic layers.
• Build and optimize ETL/ELT workflows and data pipelines.
• Develop automated data-quality and regression-testing frameworks.
• Own delivery from requirements to production deployment and support.
• Collaborate with teams and apply governance and security considerations.

Skills

SQL & data models & ETL/ELT

Analytics engineering

Data architecture

Stakeholder communication

Cloud data warehouse

Education

Bachelor’s degree or higher

8+ years data engineering experience

Tools

Snowflake

Python

dbt

GitHub

Visual Studio Code

Azure

AWS

Job description

Solventum is hiring a Senior Data Engineer for Commercial Operations Analytics, working remotely in the United States. You will design data products for order-to-cash reporting, dashboards, and AI-enabled decision support, building scalable data models and reliable ETL/ELT processes.

Requirements include a bachelor’s or higher with 8+ years in data engineering, 5+ years optimizing cloud data warehouses, and strong SQL, Python, dbt skills. Travel up to 15% may be required.