Senior Data Engineer - Modern Data & AI Platforms

Who We Are

Spring Venture Group is a leading digital direct-to-consumer sales and marketing company with product offerings focused on the senior market. We specialize in distributing Medicare Supplement, Medicare Advantage, and related products via our family of brands and dedicated team of licensed insurance agents. Powered by our unique technologies that combine sophisticated marketing, comparison shopping, sales execution, and customer engagement – we help thousands of seniors across the country navigate the complex world of Medicare every day.

We are open to candidates in the Midwest willing to work CST. This person has the opportunity to work primarily remote in the Kansas City or surrounding areas, making occasional visits to the office. We are unable to sponsor for this role, this includes international students.

The Senior Data Engineer role at Spring Venture Group is an opportunity to work at the intersection of data pipelines, data modeling, analytics, AI/ML enablement, and modern cloud‑native platforms, with Snowflake as your foundation. We are looking for someone who is excited to move away from building every pipeline from scratch and toward designing data products and AI‑powered applications.

• 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.

• Emotional Intelligence
• Drive for Results
• Continuous Improvement
• Communication
• Strategic Thinking
• Teamwork and Collaboration

• Bachelor's degree in Computer Science, or a related technical field.
• 4-7 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…