Data Engineer, Enterprise Data, Analytics and Innovation
Tasks
- Apply CI CD practices for data pipelines
- Build ETL and ELT pipelines
- Conduct code reviews and enforce standards
- Create schemas tables and views for analytics and APIs
- Enforce security privacy compliance and access control
- Implement observability and data quality checks
- Integrate new data sources and normalize data
- Maintain dataset and pipeline documentation
- Manage data ingestion and medallion layers
- Monitor job execution storage and cluster performance
- Prototype and productionize analytics and predictive features
- Support dashboards APIs and services
- Troubleshoot data issues and bottlenecks
Perks/Benefits
- 100% remote
- 401k plan company match
- Dental benefits
- Discounts on Tickets Events Hotels Childcare Groceries
- Employee assistance programs
- Flexible time off
- Generous parental leave
- Health benefits
- Virtual workout classes
- Vision benefits
- Volunteer time off
Skills/Tech-stack
Access Control | Airflow | CI/CD | Compliance | DBT | Data Governance | Data Modeling | Data Quality | Delta Lake | Docker | ELT | ETL | Git | Lakehouse | Lineage | Medallion Architecture | Observability | Privacy | PySpark | Python | SQL | Security | Spark
Education
N/A
Roles
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