🛠 Tech Stack

💼 About This Role

You'll design and evolve data models and pipelines for operational and analytical workloads using Snowflake, SQL Server, and streaming technologies. You'll collaborate with cross-functional teams to deliver governed self-service analytics and ensure data reliability and observability. You'll also leverage AI-assisted development tools to accelerate delivery.

🎯 What You'll Do

• Design and evolve data models in Snowflake and SQL Server for analytical workloads.
• Build and maintain ELT/ETL pipelines using Snowflake, Airflow, and Azure Data Factory.
• Implement streaming ingestion patterns with Kafka and Azure Event Hubs.
• Develop curated datasets for self-service analytics in Sigma Computing.

📋 Requirements

• 7+ years of experience in data engineering or database engineering.
• Hands-on experience with Snowflake in production pipelines.
• Proficiency in Python for data engineering automation.
• Experience with Sigma Computing for governed self-service analytics.

✨ Nice to Have

• Experience with Azure Data Factory or Airflow for orchestration.
• Familiarity with Kafka or Azure Event Hubs for streaming.
• C# programming experience.

🎁 Benefits & Perks

• 🏖️ Flexible hybrid work in Philadelphia.
• 💰 Competitive compensation with bonus potential.
• 📚 Continuous learning and development opportunities.
• 🎯 Business casual atmosphere.
• 🏥 Comprehensive benefits package.