Data Engineer

Five Star Franchising • Springville, UT

7d • Onsite

About The Position

Five Star Franchising provides franchisors and franchisees with the resources necessary to exponentially expand their businesses. For franchisors, we invest both venture and human capital to partner with small companies and transform them into mid-tier franchises through our proven systems, talented team, and professional experience. We help franchise partners break down their business into its gears and bolts to determine how to make it more efficient, so we can supplement what’s missing. Franchisees outshine competitors within their field by using our software, proven marketing materials, and franchising systems and operations. Our current brands are Five Star Bath Solutions, Five Star Flooring, Gotcha Covered, Bio-One, 1-800-Packouts, Mosquito Shield, Decorate with Lights, and Card My Yard. Five Star Franchising has made the Inc 5000 fastest growing companies list for 5 years in a row, ranking number 780 in 2025. We are focused on Empowering franchise partners' success through home service brands.

As a Data Engineer, you will be responsible for the acquisition, storage and reporting of performance metrics for all of our Five Star Franchising brands. This includes, but is not limited only to: Marketing and prospect data and metrics. Lead attribution by location. Quotes, invoices, payments and other sales funnel metrics by location. Top line sales by location and brand. Your primary objective will be to work with Project Managers and Brand Ops teams to complete data acquisition and reporting projects for each of the brands. You will work with CRM vendors to find API or other access to and validate data, and the Five Star Franchising executive team to create and update enterprise level reporting. The Data Engineer will report directly to the CTO. This is a full time position requiring the candidate to work from our offices located in Springville, Utah.

Requirements

• Bachelor's degree in Data Science, Computer Science, or a related field. Relevant work experience may be considered in lieu of a degree.
• 5+ years experience in a data analytics or engineering role, such as Data Engineer, Data Scientist, Data Analyst or similar position.
• Excellent problem-solving and analytical skills with the ability to understand complex technical requirements and translate them into reports and other visualizations.
• Exceptional communication and presentation skills, with the ability to effectively convey technical concepts to both technical and non-technical stakeholders.
• Ability to work independently and as part of a team in a fast-paced, dynamic environment.
• Familiarity with Snowflake, airbytes, Looker and other cloud and data storage solutions.

Responsibilities

• Designing and Building Data Infrastructure: Creating and maintaining data pipelines, databases, and data processing systems.
• Data Collection and Storage: Ensuring efficient and reliable collection of data from various sources.
• Data Transformation and Processing: Transforming raw data into usable formats for analysis and other applications.
• Data Quality and Governance: Implementing measures to ensure data accuracy, consistency, and security.
• Collaboration: Working with the executive team, brand ops and marketing teams, and other stakeholders to understand their needs and deliver relevant data solutions.
• Monitoring and Maintenance: Continuously monitoring data systems for performance, security, and reliability.
• Problem Solving: Identifying and resolving issues related to data infrastructure and processing.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level