Senior Data Engineer - Modern Data & AI Platforms

Spring Venture Group
Kansas City, United States of America
yesterday

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Kansas City, United States of America

Tech stack

Query Performance
Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Software Applications
ARM
Azure
Cloud Engineering
Code Review
Computer Programming
Databases
Information Engineering
Data Governance
Data Infrastructure
Software Debugging
Python
OpenFlow
Query Optimization
SQL Stored Procedures
SQL Databases
Google Cloud Platform
Data Ingestion
Snowflake
Code Comments
Database Performance
Data Layers
AI Platforms
Information Technology
Data Analytics
Data Management
Streamlit Framework
Data Pipelines
Legacy Systems

Job description

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. As automation and platform capabilities advance, you will evolve from a traditional builder into a strategic architect of data-driven solutions., * 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.

Data Modeling & Business Impact

  • 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.

Leadership & Engineering Excellence

  • 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., The competencies for this role include, but are not limited to:
  • Emotional Intelligence
  • Drive for Results
  • Continuous Improvement
  • Communication
  • Strategic Thinking
  • Teamwork and Collaboration

Requirements

The requirements to fulfill this position are as follows:

  • 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.

PREFERRED EXPERIENCE:

  • 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).

Benefits & conditions

Pulled from the full job description

  • AD&D insurance
  • Parental leave
  • Health insurance
  • 401(k) matching
  • Paid time off
  • Vision insurance
  • Health savings account, * Competitive compensation Medical, Dental and Vision benefits after a short waiting period
  • 401k matching program
  • Generous paid time off program with an additional company break during the holidays
  • Annual Volunteer Time Off (VTO) and a donation matching program
  • Life Insurance Employee Assistance Program (health & well-being on and off the job) Rewards and Recognition
  • Maternity and Parental Leave Training program and ongoing support throughout your entire Spring Venture Group career
  • Diverse, inclusive & welcoming culture
  • Optional enrollment options include HSA/FSA, AD&D, Spousal/Dependent life insurance, Short Term/Long Term Disability, Travel Assist, and Legal plans

Spring Venture Group is an Equal Opportunity Employer

Spring Venture Group is an Equal Opportunity Employer

About the company

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.

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