Digital Health Analytics Engineer
Digital Health Analytics Engineer
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Job Description
As a Remote Digital Health Analytics Engineer you will play a pivotal role in designing and developing data solutions that support healthcare analytics digital health platforms and patient outcomes research. This role combines deep technical expertise in data engineering and analytics with domain knowledge of healthcare data sources such as EHRs claims and wearable health devices.
You will collaborate with data scientists clinicians and product teams to ensure that digital health initiatives are supported by clean scalable and meaningful data pipelines. This is an ideal opportunity for professionals passionate about using technology and analytics to improve patient care and digital health innovation.
Responsibilities:
Develop maintain and optimize data pipelines that ingest and transform healthcare data from various digital health sources (e.g. EHRs claims APIs wearables)
Build analytics-ready datasets to support clinical research population health management and patient engagement tools
Ensure data quality privacy and compliance with healthcare regulations such as HIPAA and HITECH
Design and implement data validation frameworks monitoring tools and ETL automation
Partner with data scientists and analysts to define data models and deliver actionable health insights
Integrate structured and unstructured health data (e.g. HL7 FHIR free text) into unified analytical environments
Create visualizations and dashboards using BI tools for both technical and non-technical stakeholders
Stay current on digital health trends analytics tools and interoperability standards
Qualifications:
Bachelors or Masters degree in Computer Science Health Informatics Biomedical Engineering or a related field
2 years of experience in data engineering or analytics preferably in a healthcare or digital health environment
Proficiency with SQL Python and data pipeline frameworks (e.g. Airflow dbt Spark)
Experience working with healthcare data (EHR claims HL7 FHIR or remote patient monitoring data)
Familiarity with HIPAA data privacy standards and health information exchange protocols
Experience with cloud platforms (AWS Azure or GCP) and healthcare-specific solutions (Snowflake Redshift BigQuery)
Employment Type
Full Time
