Data & AI Platform Engineer
Tasks
- Build data lakes
- Build data warehouses
- Create testing plans for data pipelines
- Design data pipelines
- Design secure data pipelines
- Develop ETL processes
- Develop and deploy Python processing tasks
- Execute data audits
- Implement data governance
- Improve data quality
- Maintain data models
- Manage relational databases
- Mentor team members
- Monitor data pipelines
- Operationalize production AI workflows
- Perform performance tuning
- Troubleshoot data issues
Perks/Benefits
- 401k matching
- Dental insurance
- Health insurance
- Life insurance
- Paid Holidays
- Paid time off
- Parental leave
- Tuition reimbursement
- Vision insurance
Skills/Tech-stack
AI Search | APIs | AWS | Airflow | ArcGIS | Azure | Azure AI | Azure AI Search | Cloud infrastructure | Data Governance | Data Lakes | Data Modeling | Data Pipelines | Data Quality | Data Warehousing | Databricks | Docker | Drift Detection | ETL | Embeddings | Evaluation Frameworks | GCP | Geopandas | Geospatial Data | Infrastructure as Code | Kubernetes | LLMOps | MLOps | Model Drift | Model Drift Detection | Observability | OpenTelemetry | PostGIS | Prompt versioning | Python | RAG | Relational databases | SQL | Snowflake | Vector Search | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Platform Engineer | Data Platform | Data Platform Engineer | Engineer | Platform Engineer
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