Senior Healthcare Data Engineer
1 month ago
The platform helps their pharma clients to find the right patients to participate in their clinical trails. As a Senior Data Engineer (HL7), you'll be building out their ETL Pipelines, client facing integrations and building out large data sets into a Kafka environment.
- Design and implement robust ETL processes to facilitate the seamless extraction, transformation, and loading of healthcare data into their AI Platform.
- Ensure the efficient and accurate integration of diverse data formats and structures.
- Leverage in-depth knowledge of healthcare information standards to enable smooth interoperability between their platform and healthcare information systems (including, but not restricted to, HL-7 and FHIR).
- Collaborate with cross-functional teams from the clients’ side to implement and adhere to industry-standard data exchange protocols.
- Optimize data workflows and integration processes to enhance the performance and reliability of platform in different healthcare environments.
- Troubleshoot and resolve integration-related issues to ensure continuous data flow.
- Implement data validation and quality assurance measures to ensure the accuracy and integrity of healthcare data processed by their platform
Requirements
- Minimum of 5 years of experience in data integration roles with focus on healthcare data.
- Experience with FHIR and/or HL-7.
- In-depth knowledge of industry-standard healthcare data exchange protocols and interoperability standards.
- Familiarity with diverse healthcare data formats and structures.
- Experience with relational and non-relational database systems.
- Exposure to ETL and data orchestration tools and platforms.
- Experience developing solutions in Python.
- Strong problem-solving skills and attention to detail.
- Experience with Agile Methodologies for software development.
- Degree in Computer Science, Engineering, or a related field.
Nice to Have
- Experience with MongoDB.
- Experience with healthcare technologies and ecosystems (Epic, Cerner, etc.).
Team Culture
- They lead with empathy for patients and our teammates
- They value small egos, self-awareness, and humility in our teammates
- They appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift
- They love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team
- They value open dialogue and brainstorming across multidisciplinary teams #LI-PB1
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