Spring Venture Group, Inc

Senior Data Engineer - Modern Data & AI Platforms

Spring Venture Group, Inc$100K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science or related technical field
  • 4-5 years of practical experience in Data Engineering
  • Expertise in Python programming language
  • Proficient in Snowflake
  • Advanced SQL skills with emphasis on query optimization
  • Experience with large cloud providers like AWS, Azure, or GCP
  • Ability to mentor junior and mid-level engineers

Responsibilities

  • Build advanced data pipelines using the Medallion Architecture in Snowflake
  • Leverage AI-assisted tools to enhance pipeline automation and support AI/ML workflows
  • Create interactive data applications, including Streamlit apps, for rich user experiences
  • Design and evolve analytical data models for BI and advanced analytics
  • Collaborate with Analytics and Data Science teams to turn complex business needs into modular data solutions
  • Write complex Python/SQL scripts ensuring high uptime and performance
  • Lead technical improvements and provide mentorship to engineering staff

Benefits

  • Medical, Dental and Vision benefits after a short waiting period
  • 401k matching program
  • Generous paid time off with an additional company holiday break
  • Annual Volunteer Time Off and donation matching program
  • Life Insurance and Employee Assistance Program
  • Maternity and Parental Leave
  • Training programs and ongoing career support
  • Diverse, inclusive, and welcoming company culture
Full Job Description
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.

ESSENTIAL DUTIES

Modern Data Platform & AI Enablement
  • 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.


Qualifications

ROLE COMPETENCIES

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

POSITION 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).


Additional Information
  • 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

About Spring Venture Group, Inc

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. With our unique combination of innovative technology, proprietary data analytics, and deep industry expertise, we help seniors navigate the complex world of Medicare and make informed decisions about their healthcare coverage. Founded in 2009, Spring Venture Group is headquartered in Kansas City, Missouri, and has additional offices in Arizona, Texas, and Utah. For more information, visit www.springventuregroup.com.
Learn more about Spring Venture Group, Inc
Size
1,000 employees
Industry
Founded
2009

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