Senior Data Engineer
Tasks
- Build and operate data systems for analytics and AI products
- Create low latency retrieval datasets for LLM reasoning
- Define event contracts and consistent data concepts
- Design batch and streaming data pipelines
- Develop agentic data models for natural language text to sql
- Evaluate and adopt modern data stack tools
- Implement data quality lineage monitoring and governance
- Maintain SLAs with on call incident response
- Optimize Snowflake performance and cost
- Provide data engineering mentorship and code review
Perks/Benefits
- Company swag
- Long-term disability
- Maternity & paternity leave
- Medical/Dental/Vision insurance
- Opportunity to learn
- Short-term disability
Skills/Tech-stack
AWS | Access Control | Agile | Airflow | Azure | CI/CD | DBT | Dagster | Data Modeling | Data Observability | Data Quality | Dimensional Modeling | Distributed Systems | Docker | GCP | Git | Kanban | Kubernetes | LLM | Language Processing | Linux | Natural Language | Natural Language Processing | PII handling | Python | RAG | Role-Based Access | Role-Based Access Control | SQL | Snowflake | Snowflake Cortex | Snowflake Schema | Star Schema | Stored Procedures | Streams & Tasks | Terraform | Text-to-SQL | UDFs
Education
Roles
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