Senior Data Engineer
Tasks
- Apply healthcare interoperability standards
- Architect and provision cloud data infrastructure
- Build and optimize data models in data warehouses
- Build data observability dashboards
- Build feature stores and datasets for machine learning
- Design ELT/ETL pipelines
- Design data lake and lakehouse patterns
- Develop streaming data pipelines
- Enforce data governance and access controls
- Ensure HIPAA and privacy compliance
- Implement audit logging
- Implement data masking and deidentification
- Implement data quality validation rules
- Implement workflow orchestration frameworks
- Lead engineering standards and CI CD for data pipelines
- Mentor junior data engineers
- Optimize cloud resource usage for cost efficiency
- Set up data pipeline testing standards
Perks/Benefits
Skills/Tech-stack
Amazon Kinesis | Amazon Redshift | Apache Airflow | Apache Iceberg | Apache Kafka | Audit Logging | BigQuery | CI/CD | Cloud PubSub | DBT | Dagster | Data Contracts | Data Governance | Data Lineage | Data Quality | Data Vault | Data masking | Deidentification | Delta Lake | Dimensional Modeling | Docker | Docker Kubernetes | EDI | FHIR | FHIR APIs | Google Cloud | Google Cloud PubSub | HIPAA | HL7 | HL7 FHIR | HL7 FHIR APIs | ICD10 | Infrastructure as Code | Integration Testing | Kubernetes | LOINC | Prefect | Python | SNOMED CT | SQL | Schema drift | Snowflake | Terraform | Unit Testing | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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