Senior Snowflake Data Engineer

Title: Senior Snowflake Data Engineer

Location: Hybrid - Hollywood, FL (Onsite presence required)

Type: 6-12+ Month Contract (Potential to Convert)

Position Overview

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.

Key Responsibilities

• 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.

Core Requirements

• 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.

Work Model & Constraints

• Location Preference: Florida-based candidates strongly preferred.

• Hybrid Requirement: Onsite presence in Hollywood, FL is Required, even during onboarding.

• Time Zone: Must work EST hours with strong availability and collaboration during core business hours.