Senior Data Management Professional - Data Engineering (Shared Infrastructure)
Tasks
- Automate manual processes and standardize workflows
- Build LLM enabled annotation workflows
- Build data ingestion and transformation workflows
- Collaborate with stakeholders to drive adoption
- Create evaluation and annotation workflows
- Create reference implementations and tooling
- Design reusable data pipelines
- Detect data quality issues and workflow failures
- Develop shared workflow components
- Implement monitoring and observability
- Implement reusable libraries and templates
- Integrate automated evaluation frameworks
- Integrate data systems with LLM services
- Translate prototypes into production capabilities
Perks/Benefits
- 401k match
- Dental insurance
- Life insurance
- Long-term disability
- Medical insurance
- Paid Holidays
- Paid time off
- Short-term disability
- Vision insurance
- Wellness programs
Skills/Tech-stack
Amazon S3 | Automation | Data Engineering | Data Modeling | Data Pipelines | Data Validation | LLM | Language Models | Large Language Models | Monitoring | Object storage | Observability | PostgreSQL | Python | Relational databases | SQL | Workflow Orchestration
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
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