Designs builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
Requirements
- ETL Development: Proficiency in building robust pipelines.
- Data Modeling: Strong knowledge of relational PostgreSQL MySQL and NoSQL MongoDB DynamoDB data models especially clinical or device data schemas FHIR HL7 OMOP.
- Cloud Platforms: Experience with HIPAA-compliant cloud services.
- Programming: Strong Python and SQL skills Spark or Scala is a plus.
- APIs Integration: RESTful APIs HL7/FHIR data ingestion integration with EHRs and medical devices.
- Experience in Python Flink Kafka Spark AWS Glue AWS EMR AWS S3 AWS Lambda
- AWS ECS Terraform
Responsibilities
- Provides technical guidance related to data architecture data models and meta data management to sr IT and business leaders.
- Defines and implements data flows through and around digital products.
- Participates in data modeling and testing.
- Extracts relevant data to solve analytical problems ensure development teams have the required data.
- Interacts with the business divisions to understand all data requirements to develop business insights for CRM and translates them into data structures and data model requirements to IT.
- Works closely with database teams on topics related to data requirements cleanliness accuracy etc.
- Develops sustainable data driven solutions with current new gen data technologies to meet the needs of the organization and business customers.
Other
- Hybrid
- Bachelor's or Master's degree in Computer Science Engineering Bioinformatics or related field.
- 5 years of experience in data engineering
- Prefer prior experience working with regulated healthcare data e.g. HIPAA FDA 21 CFR Part 11
- This is a hybrid position in Santa Clarita,CA.
