Data Engineer - AI, Hybrid
USA-RESEARCH TRIANGLE PARK, United States
R
USD 137K-200K Senior-level Full Time
Tasks
- Build and deploy data pipelines
- Conduct unit testing and code reviews
- Design incremental processing pipelines
- Design scalable data architectures for structured and unstructured data
- Develop feature engineering for analytics
- Develop reporting and visualization tools
- Ensure data security privacy compliance
- Implement data modeling and schema design
- Lead end-to-end data projects
- Maintain data quality validation and scrubbing
- Optimize query performance
- Partner with data scientists and stakeholders
- Recommend data sources methodologies and analytics tools
- Transform and cleanse data
Perks/Benefits
- 401k matching contribution
- 401k plan
- Disability coverage
- Hybrid work model
- Life insurance
- Medical/Dental/Vision insurance
- Paid Holidays
- Paid parental leave
- Paid time off
Skills/Tech-stack
DBT | Data Cleansing | Data Imputation | Data Modeling | Data Quality | Data Validation | Data pipeline | Data pipeline orchestration | ELT | ETL | Fine Tuning | Generative AI | Incremental processing | Java | Kubeflow | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Machine Learning | Model Fine-tuning | Pipeline Orchestration | Prompt engineering | Python | Query Optimization | RAG | Retrieval-Augmented Generation | SQL | Scala | Schema Design | Semantic Search | Snowflake | Threat modeling | Transformer Architectures | Unit Testing | Vector Databases
Education
Roles
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