About the company
Mission-driven healthcare technology team transforming cardiovascular care through data, analytics, and value-based healthcare models. Early-stage startup.
Responsibilities
- Design, architect, build, and optimize reliable, scalable, and secure data infrastructure for healthcare applications and analytics
- Develop and maintain foundational healthcare data models and schemas
- Apply healthcare data standards and common data models, including TUVA, OMOP, and FHIR
- Build and maintain production-grade data pipelines to ingest, process, enrich, normalize, and transform large volumes of healthcare data
- Map raw healthcare data into standardized models, resolving data quality issues and terminology differences
- Establish data quality standards, validation frameworks, monitoring systems, and governance practices
- Optimize data processing and retrieval through query tuning, indexing, partitioning
- Design and deploy secure, scalable cloud infrastructure using infrastructure-as-code
- Ensure compliance with HIPAA and HITRUST standards
- Develop and maintain bidirectional integrations with EMR/EHR platforms
- Implement and manage data warehouse and data lake solutions
- Apply workflow orchestration, automated testing, CI/CD, and DevOps practices
Requirements
- At least 8 years of professional experience in data science or data engineering
- Deep hands-on experience with healthcare data standards and common data models: TUVA, OMOP, or FHIR
- Experience designing foundational data models and schemas from scratch
- Experience integrating with EMR/EHR platforms (eClinicalWorks, AthenaOne, Epic, or comparable)
- Knowledge of HIPAA and HITRUST regulations
- Bachelor's degree in Computer Science, Software Engineering, or related field
- Expert proficiency in SQL and at least one programming language such as Python or Scala
- Experience with data warehouses: Snowflake, Google BigQuery, or AWS Redshift
- Experience with data lake technologies: Amazon S3 or Delta Lake
- Hands-on experience with Apache Spark or Dask
- Strong understanding of AWS (S3, Lambda, RDS)
- Experience with Apache Airflow or AWS Step Functions
- Experience with test automation, CI/CD, and DevOps