Digital Health Analytics Engineer

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)