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Senior Snowflake Data Engineer

Job

Stellar IT Solutions LLC

Remote

$121,680 Salary, Full-Time

Posted 1 week ago (Updated 6 days ago) • Actively hiring

Expires 6/30/2026

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Job Description

Senior Snowflake Data Engineer Stellar IT Solutions LLC•4.5 Hollywood, FL Job Details Contract $55•$62 an hour 21 hours ago Qualifications Data model design Commercial use (data warehousing systems) Data Integration (Data management) Cloud data warehouses Data modeling projects Application Architecture Design (Architecture design skill) Schema design Snowflake SQL Data Architecture Design (Architecture design skills) Distributed systems Distributed computing Real-time data processing implementation Batch data processing
Full Job Description 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.