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.