Spring Venture Group

Data Engineer

• Build advanced data pipelines utilizing the Medallion Architecture to create high-quality data sources in Snowflake.
• Leverage AI-assisted development tools to reduce manual pipeline work and explore emerging Snowflake capabilities like Cortex to support AI/ML-enabled workflows.
• Build Data Applications that contribute to interactive experiences, including Streamlit-based apps, transforming Snowflake from a warehouse into a full-service data platform.
• Create robust data pipelines using AWS technologies to serve specific business needs.
• Design and evolve analytical data models that support BI, advanced analytics, and AI workloads.
• Partner directly with Analytics and Data Science teams to translate complex business questions into well-structured, modular data assets.
• Write complex Python/SQL, scripts, and stored procedures to ensure 99.95% uptime and optimize query performance for downstream consumption.
• Serve as a primary advisor to the Data Management team to identify opportunities for technical improvements and automation.
• Act as a leader for junior and mid-level engineers, providing direction on programming best practices, query optimization, and business tact.

Senior Data Engineer – Modern Data & AI Platforms