Senior Data Engineer
Tasks
- Architect manage cloud data infrastructure
- Collaborate with stakeholders to deliver analytics solutions
- Define data warehouse ingest architectures and best practices
- Design build optimize data pipelines
- Develop maintain data warehousing solutions
- Implement data quality monitoring and anomaly detection
- Improve performance efficiency and optimize cost
- Lead mentor and provide technical leadership
- Manage incident response and communication
- Orchestrate batch machine learning pipelines
- Write and maintain technical documentation
Perks/Benefits
- 401k matching
- Casual dress code
- Downtown Chicago location
- Employee Assistance Program Counseling
- Employee resource groups
- Health, dental, and vision insurance
- Learning opportunities
- Life and disability coverage
- Paid Holidays
- Paid parental leave
- Paid vacation time
- Referral program
- Relocation assistance
- Wellness days
Skills/Tech-stack
Access Control | Alerting | Anomaly Detection | Apache Airflow | CI/CD | Cloud Data | Cloud Data Warehouse | Cortex AI | DBT | Data Contracts | Data Governance | Data Privacy | Data Quality | Data Security | Data Validation | Data Warehouse | Data quality monitoring | Domain-Driven Design | Event Driven | Event-driven architecture | Incident Management | Kafka | Langgraph | Machine Learning | Microservices | Microsoft Azure | Power BI | Prompt engineering | Python | Quality monitoring | RBAC | Role-Based Access | Role-Based Access Control | SLAs | SQL | Snowflake | Snowflake Cortex | Snowflake Cortex AI | Tool integration
Education
Roles
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