Tech Lead, Data & Inference Engineer
New York, New York, United States
A USD 170K-198K (estimate) Senior-level Full Time
Tasks
- Build batch and streaming pipelines
- Deliver data as a product with data contracts and ownership models
- Design data platform from ingestion to insights
- Ensure data reliability cost and service level objectives
- Guide data lake and pipeline architecture decisions
- Integrate APIs and internal services with data consistency
- Manage model version control caching and evaluation
- Mentor engineers and review code
- Operate inference pipelines for enrichment scoring and quality assurance
Perks/Benefits
Skills/Tech-stack
Airflow | Amazon Web Services | Apache Flink | Apache Kafka | Apache Spark | CI/CD | Caching | Cloud platform | DBT | Dagster | Data Modeling | DuckDB | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubernetes | Language Models | Large Language Models | Microsoft Azure | Observability | Prefect | Python | Retrieval-Augmented Generation | SQL | Version control | Web Services | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Engineer | Engineer | Lead | Tech Lead
Regions
Countries
States
Cities
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