Senior Data Engineer - Ai & Ml Enablement

Solventum

Remote
Fully remote
Design, build, and maintain robust etl/elt pipelines
Support embedding generation and vector-based data pipelines
Develop scalable batch and streaming data pipelines
Solventum is seeking a Senior Data Engineer to develop and maintain data pipelines that support AI and ML initiatives in healthcare. The role involves collaborating with diverse teams to create innovative solutions aimed at improving patient care

Job Summary

  • As a 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.
  • Solventum offers many programs to help you live your best life – both physically and financially.
  • Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process.

Matching Summary

Match Score: 85

Solventum is seeking a Senior Data Engineer to develop and maintain data pipelines that support AI and ML initiatives in healthcare. The role involves collaborating with diverse teams to create innovative solutions aimed at improving patient care.

Skills & Requirements

Must-have

  • Design, build, and maintain robust ETL/ELT pipelines
  • Support embedding generation and vector-based data pipelines
  • Develop scalable batch and streaming data pipelines
  • Create and evolve semantic data models
  • Build data preprocessing, validation, and quality-assurance tooling
  • Design pipelines for offline model training and low-latency inference
  • Implement data quality checks, lineage, and monitoring
  • Proficiency in Python and data-frame libraries
  • Experience with ETL/workflow orchestration tools

Nice-to-have

  • Experience in healthcare environments
  • Familiarity with Business Intelligence tools
  • Experience supporting AI/ML use cases
  • Knowledge of data privacy and security best practices

Key Requirements

  • Bachelor’s Degree or higher in Computer Science, Mathematics, engineering or a related technical field AND 6-8 years of job related experience OR High School Diploma/GED from AND 10 years of the same job-related experience
  • Strong experience with SQL, relational and NoSQL databases
  • Hands-on experience building and maintaining large-scale data pipelines in cloud environments (Azure or AWS)
  • Experience with Databricks or Snowflake and distributed data processing frameworks (e.g., Spark)
  • Familiarity with feature stores, vector databases, or model-adjacent data systems
  • Professional proficiency in English

Work Rights

Not specified

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