Staff Data Engineer
Tasks
- Architect scalable data platforms for analytics and ML AI products
- Build data foundations for LLM VLM multimodal and agentic AI workflows
- Define and enforce data engineering standards testing observability governance and data quality
- Design and maintain batch streaming and near real time data pipelines
- Influence platform architecture decisions for tooling storage processing and cost optimization
- Integrate external platforms ad systems and internal product surfaces through governed data flows
- Own data lifecycle ingestion transformation modeling validation lineage orchestration and serving
- Productionize ML models embeddings and AI outputs into customer facing data products
Perks/Benefits
- Autonomy
- Collaborative engineering culture
- Continuous learning
- Flexibility
- International travel opportunities
- Professional development
- Remote-first
Skills/Tech-stack
Batch Processing | BigQuery | Data Governance | Data Lineage | Data Modeling | Data Observability | Data Quality | Data orchestration | Databricks | Embeddings | Incident Response | Java | LLM | Machine Learning | Monitoring | Python | Recommendation Systems | SQL | Scala | Snowflake | Streaming Data
Education
N/A
Roles
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