Data Platform Engineer

November 28

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Hart, Inc.

WebsiteLinkedInAll Job Openings

EHR Data Transformation • EHR Archival • Healthcare Data Transformation • Healthcare Interoperability

11 - 50 employees

Founded 2012

⚕️ Healthcare Insurance

☁️ SaaS

🏢 Enterprise

Description

• Build a data platform and processes to enable teams to onboard and serve customers and products. • Assist in applying well-architected framework principles to design and deploy foundational functions within the platform. • Contribute to the development and maintenance of healthcare interoperability solutions for secure and efficient data exchange. • Collaborate with cross-functional teams to understand requirements and help translate them into technical specifications. • Develop ETL processes and frameworks to be used by data engineers. • Design and implement relational data schemas to support reporting and analytics products. • Implement data solutions using scalable processing tools focusing on data integrity, security, and compliance with HIPAA. • Assist in integrating third-party healthcare systems, APIs, and data sources into the platform. • Work with cloud architects to deploy and manage healthcare solutions on cloud platforms. • Collaborate with data engineers to manage and analyze healthcare data. • Stay informed about industry trends and emerging technologies in healthcare interoperability and relevant tech stacks. • Participate in the development of repeatable integration mechanisms to minimize single-use integrations. • Help design and implement management and support tooling for platform operations. • Contribute to maintaining compliance with SLAs and OLAs. • Support the execution of the technical roadmap under guidance from senior team members.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. • 3-5 years of experience in software development, preferably with exposure to healthcare technology. • Familiarity with scalable data technologies (e.g., Databricks, Snowflake, AWS Glue, etc.) • Competent with modern data processing systems and languages (e.g., Spark, Pyspark, Scala, Python) • Basic understanding of cloud platforms (e.g., Google Cloud Platform, AWS, or Azure) and cloud-native application development. • Knowledge of healthcare interoperability standards such as HL7 and FHIR is a plus. • Experience with Agile development methodologies. • Familiarity with DevOps practices and tools (e.g., Git, CI/CD pipelines). • Basic understanding of healthcare data security and compliance requirements (e.g., HIPAA). • Strong problem-solving skills and eagerness to learn in a collaborative environment. • Good communication skills and ability to work effectively in a team setting. • Proactive attitude and willingness to stay updated on emerging technologies and industry trends.