Data & AI Platform Engineer
Tasks
- Audit data accuracy
- Build data lakes
- Build data warehouses
- Deploy and monitor data pipelines
- Design data pipelines
- Develop ETL processes
- Develop Python data processing tasks
- Ensure data security compliance
- Implement data governance
- Improve data quality
- Maintain data models
- Manage relational databases
- Monitor production AI systems
- Optimize data system performance
- Troubleshoot data issues
- Write unit and integration tests for data pipelines
Perks/Benefits
- 401k match
- Employee assistance program
- Employee referral bonuses
- Life insurance
- Long-term care insurance
- Long-term disability
- Medical/Dental/Vision insurance
- Paid Holidays
- Paid time off
- Parental leave
- Performance bonus eligibility
- Pet insurance
- Short-term disability
- Tuition reimbursement
Skills/Tech-stack
AWS | Agent Orchestration | Airflow | ArcGIS | Azure | Cloud infrastructure | Configuration Versioning | Data Governance | Data Lakes | Data Modeling | Data Quality | Data Warehousing | Docker | Document chunking | Drift Detection | ETL | Embeddings | Evaluation Frameworks | GCP | Geopandas | Geospatial Data | Infrastructure as Code | Kubernetes | LLMOps | MLOps | Monitoring | Multi-Agent | Multi-agent orchestration | Observability | OpenTelemetry | PostGIS | Prompt versioning | Python | RAG | Relational databases | Retrieval-Augmented Generation | SQL | Vector Search | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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