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Senior Data Engineer - Modern Data & AI Platforms at SpringVentureGroup1
SpringVentureGroup1Kansas City, MO, us·1w ago
SeniorFull-timePythonSpringAWSData ScienceAIML
Salary Range
$132,600 - $179,400 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Data Engineer to join Spring Venture Group, working at the intersection of data pipelines, data modeling, analytics, AI/ML enablement, and modern cloud-native platforms with Snowflake as the foundation. This role involves transitioning from building pipelines from scratch to designing data products and AI-powered applications.
Key Responsibilities
- →Build advanced data pipelines using the Medallion Architecture to create high-quality data sources in Snowflake.
- →Leverage AI-assisted development tools 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.
- →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.
- →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.
- →Support after-hours and weekend releases from internal Software Development teams.
- →Actively participate in code reviews and weekly technicals.
- →Assist departments with time-critical SQL execution and debug database performance problems.
Requirements
- ✓Experience with data pipelines, data modeling, and analytics.
- ✓Proficiency in Python and SQL.
- ✓Knowledge of Snowflake and AWS technologies.
- ✓Understanding of AI/ML enablement and cloud-native platforms.
- ✓Strong problem-solving and analytical skills.
- ✓Experience with Streamlit and data applications.
- ✓Leadership and mentorship experience.
- ✓Ability to work in CST time zone and occasional office visits.
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