Data Engineer - HealthCare - Michigan

Data Engineer - HealthCare - Michigan

02 Nov 2021
Michigan, Ann arbor, 48104 Ann arbor USA

Data Engineer - HealthCare - Michigan



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

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