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Job Description
Data integration is among the hardest problems facing the healthcare technology industry; providing clinically-rich, actionable insights to our clients requires asynchronous collection and transformation of disparate data sources in a robust, scalable manner. As a Senior Data Engineer, you will be part of a mission-critical team building our next generation Data Integration Engine. Specific responsibilities will include:
Participating in the design, implementation, and validation of a robust, scalable, next-generation Data Integration Engine
Implementing robust ETL solutions that integrate heterogeneous healthcare data feeds using tools such as Mirth (JavaScript), CloverETL, PostgreSQL, Python, and Linux shell scripting
Building direct interfaces to hospitals and EMR vendors utilizing industry standards such as HL7 2.x, C-CDA, and FHIR as well as implementing bespoke interfaces that consume formats such as XML, JSON, and delimited files
Writing APIs and web services to permit a bi-directional flow of data to and from our partner organizations
Monitoring operational ETL processes, triaging and resolving issues as they arise to meet SLAs
Writing PL/SQL functions and packages to automate workflows in a Postgres environment linked with web technologies
Applying industry best practices of software design, implementation, testing, and deployment, with a particular emphasis on quality assurance, fault tolerance, and component reuse
Assisting with infrastructure and capacity planning
Maintaining data standards (including adherence to HIPAA), documenting work, and championing product and process improvements
Collaborating with an innovative team in an Agile/Scrum environment
Qualifications
Minimum Qualifications
Extensive experience in using data integration / ETL tools to construct production-quality, real-time interfaces
Deep understanding of relational databases, data modeling / architecture, and SQL query design / optimization
Familiarity with a variety of structured and unstructured file formats
Knowledge of web technologies such as RESTful APIs
Expertise in SQL as well as proficiency in at least one scripting language (e.g. JavaScript, Python, Linux shell script)
Focus and initiative in learning and enhancing existing products and future enhancements
Ability to manage multiple deliverables with competing deadlines in a fast-paced environment
Strong communication and problem-solving skills
Master's degree in a quantitative field such as Computer Science or Health Informatics
Preferred Qualifications
Familiarity with healthcare data integration technologies (e.g. HL7 2.x, C-CDA, and FHIR)
Project experience involving direct integration with EMR systems
Experience with or knowledge of Amazon Web Services
