Tech Lead, Data & Inference Engineer
Washington D.C., District of Columbia, United States
A USD 170K-198K (estimate) Senior-level Full Time
Tasks
- Build batch & streaming pipelines
- Create data products with data contracts and ownership models
- Design data platform end to end
- Ensure data consistency and quality for real time and batch use cases
- Ensure reliability cost and service level objectives
- Guide data lake architecture and pipeline decisions
- Implement retrieval-augmented generation pipelines
- Ingest and transform diverse data sources
- Mentor engineers and review code
- Operate inference pipelines for enrichment scoring and quality assurance
- Scale API and internal service integrations
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon Web Services | Apache Airflow | Apache Flink | Apache Kafka | Apache Spark | Automated Evaluation | CI/CD | Caching | Cloud platform | DBT | Dagster | DuckDB | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubernetes | Language Models | Large Language Models | Microsoft Azure | Node.js | Observability | Prefect | Python | Retrieval-Augmented Generation | SQL | Version control | Web Services | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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