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Sr AWS Data Engineer
| Company | Solventum |
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| Location | Germantown, MD, USA |
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| Salary | $137439 – $167981 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Senior, Expert or higher |
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Requirements
- Bachelor’s degree (or higher) in Computer Science or a related field from an accredited institution
- Minimum 8 years of experience deploying and managing cloud data platforms on AWS
- Extensive expertise in cloud-based data storage and processing on AWS, with deep experience in AWS S3, RDS, Aurora PostgreSQL, and MSSQL
- Strong skills in implementing data pipelines for efficient deployment and automation
Responsibilities
- Design and build scalable, efficient, and fault-tolerant data operations with structured and unstructured data
- Develop, Build and maintain AWS data platform services such as S3, RDS, Aurora, Redshift, PostgreSQL, DynamoDB using cloud deployment pipeline
- Develop, maintain and optimize robust data pipelines for performance, reliability, and scalability
- Provide technical leadership to data engineers, fostering a culture of excellence and continuous improvement
- Promote best practices in data engineering by mentoring internal teams on database standards, pipeline development, and efficient data usage
- 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
- Collaborate with domain teams to design physical data models and data mappings
- Implement and manage database security, including user access controls and data encryption. Ensure the protection of healthcare data by maintaining compliance with HIPAA, SOC 2, FedRAMP, and StateRAMP security standards
Preferred Qualifications
- Experience in scripting using Python, PySpark, Scala, and advanced SQL techniques
- Expertise in data modeling, ETL processes, and data warehousing
- Knowledge of cloud-native architecture and distributed computing with AWS tools like Glue, and EMR
- Experience in data engineering, data governance, and modern data warehouse/Lakehouse architecture
- Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes, Terraform)
- Familiarity with GraphQL
- Agile development experience; proficiency with tools like JIRA and Confluence
- Strong collaboration and communication skills
- AWS professional certificate(s)
