Engineering Manager - Data Engineering & Insights - Seattle, WA
Tasks
- Add observability and triage for AI insights
- Build canonical datasets and robust APIs
- Deliver analytics app and analytics studio products
- Drive analytics engineering adoption
- Ensure consistent metrics and dimensions
- Establish data governance standards
- Hire mentor and retain analytics and full stack engineers
- Implement automated AI insights on governed metrics
- Manage real time and batch ingestion pipelines
- Monitor incidents and manage on call rotations
- Oversee semantic layer frameworks
- Own data insights end to end
- Set technical direction across the data and application stack
Perks/Benefits
- 401k
- Dental insurance
- Disability insurance
- Flexible spending account
- HSA
- Health insurance
- Life insurance
- Onsite work
- Paid Holidays
- Paid bereavement leave
- Paid parental leave
- Paid sick leave
- Paid time off
- Vision insurance
Skills/Tech-stack
API Design | Apache Flink | Apache Pinot | Automated reporting | CI/CD | Call Management | ClickHouse | Compliance | Cube | DBT | Dashboarding | Data Catalog | Data Lineage | Data Modeling | Data Observability | Data Quality | Data Sharing | Incident monitoring | Java | Kotlin | On-Call | On-call Management | Orchestration | Permissioned Data | Permissioned Data Sharing | React | SQL | SQLMesh | Scala | Semantic layer | Trino | TypeScript
Education
N/A
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