Data Engineer, Security
Tasks
- Build feature stores for AI driven risk scoring
- Build scalable ELT pipelines
- Create automated alerting for data quality
- Design and implement data models and architecture
- Develop and maintain LookML semantic layer
- Implement data masking and RBAC
- Implement data monitoring and observability
- Secure data handling
- Support data foundations for automated underwriting
- Transform raw data into data products
Perks/Benefits
- Flexible PTO
- Home office stipend
- Medical, dental & vision coverage
- Remote-first work culture
- WeWork access
- Wellness programs
Skills/Tech-stack
DBT | Data Modeling | Data Observability | Data Quality | Data Volume | Data freshness | Data masking | ELT | Feature Store | LookML | Looker | Medallion Architecture | Python | RBAC | SLI | SLO | Schema Integrity | Snowflake | Star Schema
Education
N/A
Roles
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