Senior Data Engineer
Tasks
- Apply healthcare interoperability standards
- Architect and provision GCP infrastructure with infrastructure as code
- Build data models in cloud data warehouses
- Build data observability dashboards and alerting
- Collaborate on datasets and feature stores
- Design ELT/ETL pipelines
- Design data lake and lakehouse patterns
- Develop streaming data pipelines
- Drive CI/CD practices for data pipelines
- Ensure HIPAA and HITECH compliance
- Establish testing standards for data pipelines
- Implement data masking deidentification and audit logging
- Implement data quality validation rules
- Implement orchestration for monitored workflows
- Maintain data governance and lineage
- Optimize cloud resource usage
- Perform code reviews and mentorship
Perks/Benefits
Skills/Tech-stack
Amazon Kinesis | Amazon Redshift | Apache Airflow | Apache Iceberg | Apache Kafka | Apache Parquet | Audit Logging | BigQuery | CI/CD | Cloud Pub/Sub | DBT | Dagster | Data Governance | Data Lineage | Data Observability | Data Quality | Data Vault | Data masking | Deidentification | Delta Lake | Dimensional Modeling | Docker | ELT | ETL | ETL orchestration | Google Cloud | Google Cloud Pub/Sub | HIPAA | HITECH | HL7 FHIR | Infrastructure as Code | Kubernetes | Prefect | Pub/Sub | Python | SQL | Schema drift | Snowflake | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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