Senior Data Engineer (Data + Applied AI)
Tasks
- Build RAG pipelines
- Build production data pipelines
- Create Airflow DAGs
- Design dimensional data models
- Develop BI dashboards
- Develop dbt models
- Document data models and pipelines
- Implement HIPAA compliant data handling
- Integrate healthcare data
- Monitor data quality failures
- Prototype new tools and frameworks
- Review pull requests
- Support MLOps workflows
Perks/Benefits
- 401k
- 401k match
- Company Paid Shutdown Week in December
- Equity
- Free Medical Dental and Vision
- Free subscriptions
- Paid Holidays
- Unlimited PTO
Skills/Tech-stack
Access Control | Amazon Redshift | Apache Airflow | Audit Logging | Automated testing | CI/CD | DBT | DBT Cloud | DBT Core | Data Contracts | Data Lineage | Data Quality | Dimension tables | Dimensional Modeling | Fact tables | GitHub Actions | Google BigQuery | HIPAA | Incremental models | Langchain | Langgraph | Llamaindex | Looker | MLOps | OpenMetadata | PHI PII Tokenization | PHI/PII | PII Tokenization | Pandas | Power BI | PySpark | Python | Qlik | Role-Based Access | Role-Based Access Control | SCD Type 1 | SCD Type-2 | SQL | Snowflake | Snowflake Schema | Star Schema | Tableau | Type 1 | Type 2)
Education
N/A
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