Tech Lead, Data & Inference Engineer
A USD 170K-198K (estimate) Senior-level Full Time
Tasks
- Build batch and streaming pipelines
- Create data contracts and ownership models
- Design end to end data platform
- Document data lineage and trade offs
- Ensure data consistency and quality
- Ensure reliability and uptime
- Guide data lake and pipeline architecture
- Implement enrichment scoring and quality assurance
- Maintain low latency data processing
- Mentor engineers and review code
- Operate inference pipelines with large language models
- Optimize data platform cost
- Scale API and internal service integrations
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon Web Services | Apache Airflow | Apache Flink | Apache Kafka | Apache Spark | CI/CD | Caching | Cause analysis | DBT | Dagster | Data Contracts | Data Modeling | Data Quality | Data pipeline | Data pipeline orchestration | DuckDB | Google Cloud | Infrastructure as Code | Kubernetes | Language Models | Large Language Models | Microsoft Azure | Observability | Pipeline Orchestration | Prefect | Python | Retrieval-Augmented Generation | Root Cause Analysis | Root cause | SQL | Version control | Web Services | “as-code”
Education
Roles
Data Engineer | Engineer | Lead | Tech Lead
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