Senior Data Engineer

About the Role Senior Data Engineer at Solventum, leading design and development of scalable data pipelines and data platforms to enable data-driven decisions and AI/GenAI workflows. What You'll Do

• Design, build, and maintain robust ETL/ELT pipelines supporting large, evolving datasets.
• Support embedding generation and vector-based data pipelines for AI and GenAI use cases.
• Develop scalable batch and streaming pipelines on cloud platforms (Snowflake or Databricks).
• Create semantic data models transforming raw data into analytics-ready datasets.
• Build data preprocessing, validation, and QA tooling.
• Design pipelines for offline model training and low-latency inference workloads.
• Drive modern data architectures balancing scalability, performance, maintainability.
• Implement data quality checks, lineage, and monitoring for enterprise-scale datasets.
• Collaborate with product, analytics, AI/ML, IT, and business teams to enable data-driven initiatives.
• Interface with stakeholders across manufacturing, quality, post-market surveillance, commercial, and clinical domains.
• Provide technical leadership and mentorship to other data engineers. What We're Looking For
• Bachelor’s Degree or higher in Computer Science, Mathematics, engineering or related field and 6-8 years of job-related experience OR High School Diploma/GED with 10 years of experience.
• Strong experience with SQL, relational and NoSQL databases.
• Hands-on experience building/maintaining large-scale data pipelines in Azure or AWS.
• Experience with Databricks or Snowflake and distributed data processing frameworks (Spark).
• Familiarity with feature stores, vector databases, or model-adjacent data systems.
• Experience managing data quality, validation, and lineage for large datasets.
• Proficiency in Python and data-frame libraries (Pandas, Polars).
• Experience with ETL/workflow orchestration tools (Databricks Workflows, Azure Data Factory, AWS Glue).
• Familiarity with common data formats (CSV, JSON, XML, Parquet).
• Strong communication skills and ability to explain technical concepts to non-technical stakeholders.
• Proficiency in English; regular collaboration across global teams. Nice to Have
• Experience in healthcare, medical devices, life sciences, or manufacturing environments.
• Familiarity with Business Intelligence tools and analytics platforms.
• Experience supporting AI/ML use cases through well-modeled data.
• Knowledge of data privacy, security, and compliance best practices. Compensation & Benefits
• Well-being and financial programs to support employees.
• Hybrid work arrangement and up to 20% travel.
• Miscellaneous benefits consistent with Solventum policies.