Senior Data Engineer - Modern Data & AI Platforms

Spring Venture Group is a leading digital direct-to-consumer sales and marketing company focused on the senior market. The Senior Data Engineer role involves building advanced data pipelines, designing data products, and enabling AI-powered applications using modern cloud-native platforms like Snowflake.

Responsibilities:

• 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
• Architect replacements for legacy systems with a focus on data governance and maintainable documentation, including flowcharts and clear code comments
• Support after hours and weekend releases from our internal Software Development teams
• Actively participate in code review and weekly technicals with another more senior engineer or manager
• Assist departments with time-critical SQL execution and debug database performance problems

Requirements:

• Bachelor's degree in Computer Science, or a related technical field
• 4-5 years of practical production work in Data Engineering
• Expertise of the Python programming language
• Expertise of Snowflake
• Expertise of SQL, databases, & query optimization
• Must have experience in a large cloud provider such as AWS, Azure, GCP
• Advanced at reading code independently and understanding its intent
• Advanced at writing readable, modifiable code that solves business problems
• Ability to construct reliable and robust data pipelines to support both scheduled and event based workflows
• Working directly with stakeholders to create solutions
• Mentoring junior and mid-level engineers on best practices in programming, query optimization, and business tact
• Experience building or supporting Streamlit applications or similar data-driven apps
• Familiarity with Snowflake Openflow for data ingestion and orchestration
• Exposure to Snowflake Cortex or AI/ML-enabled analytics workflows
• Background in analytics engineering (dbt-style modeling, semantic layers, metrics design)