Data Engineer- Full Stack
Tasks
- Architect end-to-end data pipelines
- Build Gen AI enrichment pipelines
- Deliver analytics ready and AI ready data assets
- Design scalable data models and warehouses
- Enforce data governance and security controls
- Implement data quality checks and monitoring
- Implement retrieval-augmented generation
- Integrate LLM APIs into data workflows
- Mentor junior engineers on data engineering and AI integration
- Modernize data assets to centralized platform
- Optimize cloud performance and cost
- Orchestrate ETL and ELT workflows
- Participate in on-call and incident response
- Prototype and productionize Gen AI capabilities
Perks/Benefits
- Employee resource groups
- Flexible family care days
- Health insurance medical dental vision and prescription drug coverage
- Paid Holidays
- Paid parental leave
- Paid time off
- Subsidized back-up child care
- Tuition assistance
- Vehicle discount program
Skills/Tech-stack
Airflow | Astronomer | BigQuery | CI/CD | Cloud Storage | Cloud platform | Data Governance | Data Lineage | Data Modeling | Data Warehousing | Dataflow | Dataproc | ELT | ETL | Embeddings | GCS | Git | Google Cloud | Google Cloud Platform | Grafana | Infrastructure as Code | Injection Protection | LLM | Langchain | Looker | Observability | OpenAI | PII protection | Power BI | Prompt injection | Prompt-injection protection | RAG | Responsible AI | Schedule Query | Splunk | Tableau | Terraform | Vector Databases | Vertex AI | “as-code”
Education
Roles
Data Engineer | Engineer | Full Stack | Full Stack Data Engineer
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