Data Engineer II
Tasks
- Automate query rewriting
- Build AI-driven data products
- Build and evolve MCPs
- Collaborate with data platform and analytics engineering
- Conduct RAG vs LLM experiments
- Deploy services to Production
- Develop agents and chatbots
- Ensure observability for AI systems
- Generate models and documentation
- Implement guardrails and validations
- Improve data pipeline performance
- Integrate APIs and webhooks
- Integrate tools and services
- Optimize token usage
- Perform code reviews for performance and cost
Perks/Benefits
- Childcare support
- Dental insurance
- Education incentive
- Extended parental leave
- Health insurance
- Meal allowance
- Pet health plan
- Transportation allowance
- Travel discount
- Wellness benefits
Skills/Tech-stack
APIs | Airflow | BigQuery | Cloud Run | DBT | Dagster | Dataform | Docker | FastAPI | GCP | HTTP | Kubernetes | LLM | Langfuse | Language Models | Large Language Models | Looker | MCP | Metabase | Model Context Protocol | Observability | Prompt engineering | Python | RAG | SQL | Tableau | Terraform | Token optimization | Webhooks
Education
N/A
Roles
AI | AI Engineer | Data Engineer | Engineer
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