Senior Data Engineer, AI & Data Platform
Remote South Carolina, Remote South Carolina, SC, United States
R
USD 115K-135K Senior-level Full Time
Tasks
- Build MCP server integrations for LLM tools and agents
- Build data models with keys and referential integrity
- Build observability monitoring alerting and SLA tracking
- Build scalable self healing data pipelines
- Create feature stores embedding pipelines and real time serving layers
- Design APIs and data interfaces for real time querying
- Develop and operate data marketplace on Databricks
- Document data models pipeline architectures and integration patterns
- Implement data governance access controls and PII handling
- Implement data quality frameworks
- Ingest transform and serve data from source systems
- Operationalize ML models with training evaluation deployment and monitoring
- Own data engineering initiatives end to end
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | Amazon Web Services | Anomaly Detection | Apache Airflow | Apache Spark | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure ML | Azure Synapse | Azure Synapse Analytics | Cloud platform | Dagster | Data Governance | Data Lake Storage | Data Lineage | Data Modeling | Data Quality | Data serving | Databricks | Databricks Workflows | Embeddings | Feature Store | Google Cloud | Google Cloud Platform | LLM integration | Model Context Protocol | PII handling | PostgreSQL | Python | RAG | Real Time | Real-time Data | Real-time data serving | Regression testing | SQL | Synapse Analytics | Vector Database | Web Services
Education
N/A
Roles
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