Senior Snowflake Data Engineer
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Role details
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Job description
We are seeking a Senior Snowflake Data Engineer to join our data engineering team. This is a senior-level role. The ideal candidate will work independently, drive initiatives forward, and contribute to architectural decisions while collaborating closely with ML engineers to enable AI/ML consumption of curated data., * Lead the design and development of complex data pipelines (batch and streaming).
- Maintain existing pipelines while building new ingestion and transformation workflows.
- Implement Medallion Architecture (Raw, Silver, Curated layers) to support AI/ML use cases.
- Process structured transactional data, semi-structured streaming data (JSON), and telemetry/web data.
- Ensure clean, accurate, and well-modeled datasets with a strong semantic layer for ML/LLM usage.
- Collaborate with ML engineers to define schemas and semantic layers (not responsible for building ML models).
- Support high-frequency ingestion and streaming via brokers with configurable intervals.
Requirements
Do you have experience in Snowflake?, * Hands-on expertise with Snowflake as a Data Lakehouse platform.
- Strong background in data pipeline engineering (batch + streaming).
- Experience with semi-structured data processing and distributed data architectures.
- Ability to work independently and contribute to architectural strategy.
- Strong SQL and data modeling skills.
Benefits & conditions
4.54.5 out of 5 stars Hollywood, FL Hybrid work $55 - $62 an hour - Contract
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