Solventum-posted 6 days ago
Full-time • Mid Level
Remote • Montgomery, MD
5,001-10,000 employees

At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers’ toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue. We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you. The Impact You’ll Make in this Role Solventum is seeking a highly motivated Senior Cloud Data Engineer to help shape the future of global health informatics. In this role, you’ll collaborate with cross-functional teams to design and support our Enterprise Data Mesh, enabling data-driven healthcare innovations on a global scale. You will work closely with SaaS application teams to build robust and scalable data solutions used by a wide network of healthcare providers.

  • Design and build scalable, efficient, and fault-tolerant data operations with structured and unstructured data systems.
  • Develop, Build and maintain AWS data platform services such as S3, RDS, Aurora, Redshift, PostgreSQL, DynamoDB using cloud deployment pipeline.
  • Develop and maintain robust data pipelines for ingesting, transforming, and distributing data streams.
  • Partner with senior technical leads, analysts, engineers, and scientists to implement scalable data initiatives using AWS cloud services.
  • Implement advanced data architectures for accelerated solution design, including data integration, modeling, governance, and applications.
  • Champion best practices in data engineering standards.
  • Mentor and guide internal teams on database standards, pipeline development, and efficient data consumption.
  • Implement and maintain database security measures, including user access controls and data encryption.
  • Manage healthcare data and maintain HIPAA, SOC2, FedRamp, StateRAMP data security controls.
  • Bachelor’s degree (or higher) in Computer Science or a related field from an accredited institution.
  • Minimum 8 years of solid experience deploying and managing cloud data platforms on AWS.
  • Advanced proficiency in SQL.
  • Deep experience with AWS S3, AWS RDS, Aurora PostgreSQL, and MSSQL.
  • Proficiency with both SQL and NoSQL databases (e.g., PostgreSQL, Redshift, DynamoDB).
  • Expereince in cloud-native architectures and distributed computing with AWS tools like Glue, and EMR.
  • Expertise in Python, PySpark, Scala, and advanced SQL techniques.
  • Familiarity with GraphQL.
  • Experience with Docker, Kubernetes, and microservice-based Data API development.
  • Experience with stream processing tools like Amazon Kinesis, Apache Spark, Storm, or Kafka.
  • Agile development experience; proficiency with tools like JIRA and Confluence.
  • Strong collaboration and communication skills.
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