Principal Data Engineer AI
Tasks
- Build clinical knowledge graph and schema validation
- Build data quality validation pipelines
- Deduplicate clinical entities using NLP output
- Define data architecture standards
- Escalate complex data infrastructure issues
- Evolve clinical data schema across phases
- Implement immutable audit trail
- Maintain clinical data model
- Maintain graph updates and vocabulary growth
- Manage data provenance
- Mentor engineers and shape technical direction
- Operate MLOps infrastructure for experiment tracking and model artifacts
- Own PHI data pipeline end to end
- Translate business requirements into technical architecture
Perks/Benefits
- 401k
- Dental insurance
- Disability insurance
- Health insurance
- Life insurance
- Paid Holidays
- Paid family leave
- Paid time off
- Remote work
- Vision insurance
Skills/Tech-stack
AWS | Apache Airflow | Apache Spark | Audit Logging | Audit trails | C-CDA | Chain Hashes | Clinical data | Clinical data models | Clinical terminologies | CloudTrail | Data Drift | Data Modeling | Data Quality | Data Validation | Data models | Data provenance | Databricks | Databricks Workflows | Deployment tooling | Document modeling | EMR | Experiment tracking | FHIR | GCP | Glue | Graph Modeling | HIPAA | HL7 | Healthcare Data | Healthcare Interoperability | IAM | ICD10 | Immutable Audit Trails | JSON Schema | JSON schema validation | KMS | Knowledge graphs | LOINC | Lambda | Language Processing | MLOps | Machine Learning | Model Artifacts | Natural Language | Natural Language Processing | Phi | Python | Relational modeling | RxNorm | S3 | SNOMED CT | SQL | Schema Validation | WORM Storage
Education
Associate Degree | Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
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