Senior Snowflake Data Engineer: Scalable Analytics

180 Seminole Hard Rock Support Services; United States; On-site; USD 140,000 - 200,000; Full time

Job summary

180 Seminole Hard Rock Support Services seeks a Senior Snowflake Data Engineer to design, develop, and optimize enterprise data solutions that power analytics, reporting, and BI across the organization. This role focuses on scalable pipelines, Snowflake best practices, and reliable data assets.

You will collaborate with data analysts, data scientists, and application developers to deliver high‑performing data platforms while ensuring security, governance, and cost effectiveness in Azure/AWS

Qualifications

• 7+ years of professional Data Engineering experience.
• 5+ years of hands-on Snowflake experience in enterprise environments.
• Strong expertise with Snowflake SQL, Tasks, Streams, Virtual Warehouses, RBAC, Clustering, and Performance Optimization.
• Strong experience building modern ETL/ELT data pipelines.
• Experience with cloud platforms such as Azure and AWS.
• Proficiency in Python for data engineering and automation.

Responsibilities

• Design, develop, and maintain scalable, high-performance data pipelines and ELT/ETL processes using Snowflake and modern data engineering frameworks.
• Build and support enterprise Data Lakes and Data Warehouses.
• Develop robust data integration solutions ensuring data quality, consistency, and reliability.
• Optimize data movement, transformations, and processing across systems and platforms.
• Implement automated, reusable data engineering patterns to improve efficiency.

Skills

Snowflake

SQL

Python

Airflow

Azure

AWS

ETL/ELT

Data Modeling

RBAC

Performance Tuning

Tools

Azure Data Factory (ADF)

Apache Airflow

Databricks

GitHub Actions

Job description

180 Seminole Hard Rock Support Services seeks a Senior Snowflake Data Engineer to design, develop, and optimize enterprise data solutions that power analytics, reporting, and BI across the organization. This role focuses on scalable pipelines, Snowflake best practices, and reliable data assets.

You will collaborate with data analysts, data scientists, and application developers to deliver high‑performing data platforms while ensuring security, governance, and cost effectiveness in Azure/AWS