Principal Data Engineer
Boulder, Colorado or New York City, New York
R
USD 200K-240K Senior-level Full Time
Tasks
- Define data services layer and lakehouse architecture
- Document and communicate architecture and implementation plans
- Drive technical standards design reviews and best practices
- Establish AI engineering practices for data pipelines
- Evaluate trust and govern AI powered systems in production
- Implement RAG and agentic workflow patterns
- Lead LLM integration for data services
- Lead pipeline design and data modeling
- Mentor engineers through code review and design collaboration
- Own data platform architecture at exchange scale
- Partner with product and data science to ship end to end solutions
- Research and implement data processing methods
- Specify pipeline observability and performance metrics
Perks/Benefits
- 401k plan
- Commuter benefits
- Flexible vacation
- Life insurance
- Long-term disability
- Medical/Dental/Vision insurance
- Paid Holidays
- Paid parental leave
- Short-term disability
Skills/Tech-stack
AWS | Agentic Workflows | Anomaly Detection | Batch pipelines | CCPA | Data Governance | Data Lineage | Data Observability | Data Processing | Data Quality | Data Security | Databricks | DevOps | Distributed data | Distributed data processing | Fallback mechanisms | Forecasting | GDPR | Kafka | LLM Evaluation | Lakehouse | Metadata Management | Model Governance | Multi-step Agentic Workflows | Observability | OpenRTB | PII | Prompt engineering | PySpark | Python | RAG | SRE | Snowflake | Streaming Pipelines | Tool use | Vector Databases
Education
N/A
Regions
Countries
States
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