
10,000+ employees
🏥 Healthcare
📦 Logistics
💼 Consulting
Healthcare • Logistics • Consulting
Solventum is a healthcare-focused company renowned for its innovative solutions aimed at improving medical and oral care outcomes. The company offers a variety of medical technologies, including advanced wound care, surgical solutions, and sterilization products. Solventum also provides advanced oral care solutions, health information and technology services, and purification and filtration products for biopharmaceutical applications. Furthermore, Solventum places a strong emphasis on sustainability and education, providing resources and training for healthcare professionals globally. Their commitment to innovation and better healthcare has made them a leader in the healthcare industry, dedicated to enhancing patient safety and healthcare efficiencies.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $143.2k - $196.9k / year
⏰ Full Time
🟠 Senior
🚰 Data Engineer
👻 Ghost score 0%
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10,000+ employees
🏥 Healthcare
📦 Logistics
💼 Consulting
Healthcare • Logistics • Consulting
Solventum is a healthcare-focused company renowned for its innovative solutions aimed at improving medical and oral care outcomes. The company offers a variety of medical technologies, including advanced wound care, surgical solutions, and sterilization products. Solventum also provides advanced oral care solutions, health information and technology services, and purification and filtration products for biopharmaceutical applications. Furthermore, Solventum places a strong emphasis on sustainability and education, providing resources and training for healthcare professionals globally. Their commitment to innovation and better healthcare has made them a leader in the healthcare industry, dedicated to enhancing patient safety and healthcare efficiencies.
• Design trusted data products for order-to-cash reporting, operational dashboards, scorecards, productivity measurement, and AI-enabled decision support • Design and maintain scalable analytical data models, semantic layers, reporting tables, views, and business definitions • Build and optimize ETL/ELT workflows, SQL transformations, database views and tables, stored procedures, and scheduled processes • Integrate structured and semi-structured data into analytics-ready products using Snowflake and cloud services • Create automated data-quality and regression-testing frameworks • Reconcile results to authoritative sources, identify anomalies, and protect existing models during changes • Own delivery from requirements through development, version control, peer review, validation, user approval, production deployment, monitoring, and post-production issue resolution • Document data lineage, definitions, dependencies, and support procedures • Use approved AI assistants and engineering agents for SQL analysis, code development, pipeline configuration, debugging, documentation, and test creation with human review • Comply with corporate policies, procedures, and security standards
• Bachelor’s Degree or higher AND eight (8) years of professional experience in data engineering, data architecture, analytics engineering, information systems, or analytics application development; OR High School Diploma/GED AND twelve (12) years of such professional experience • 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 nontechnical stakeholders • 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 • Experience enabling Tableau, Power BI, natural-language analytics, machine learning, retrieval-augmented generation, or agent-based solutions • Experience supporting order-to-cash, revenue cycle, billing, collections, productivity, customer service, healthcare, medical technology, or regulated commercial operations • Must be legally authorized to work in the country of employment without sponsorship for employment visa status
• Medical, Dental & Vision • Health Savings Accounts • Health Care & Dependent Care Flexible Spending Accounts • Disability Benefits • Life Insurance • Voluntary Benefits • Paid Absences • Retirement Benefits • Up to 15% domestic travel may be included
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