Data Solutions Engineer
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Overview
Job Description
Basic Fun! is a dynamic global designer and marketer of classic, innovative children's entertainment products that bring smiles to people of all ages. Our iconic brands and robust product portfolio are sold by leading retailers and distributors in over 60 countries around the world. Basic Fun! has an omni-channel go-to market strategy with a strong presence online, in- store as well as in family entertainment venues.
The Company is proud to have long-standing, valued product partnerships with A-List Licensors, including Hasbro, Disney, Mattel, Nintendo, Pokémon, Netflix, Coca Cola, Universal, Paramount, Warner Brothers, Cloudco Entertainment, NFL and NBA. Basic Fun! manages a portfolio of iconic powerhouse brands that include Care Bears, Tonka, Lite Brite, K'nex, Lincoln Logs, Tinker Toys, Playhut, Uncle Milton, Fisher Price Classics, Mash'ems and Littlest Pet Shop, and many other trusted brands. All of us at Basic Fun! are dedicated to enriching lives and creating unforgettable moments through imaginative play.
Position Overview:
Reporting directly to the Director of IT and working closely with the Lead Software Engineer, the Data Solutions Engineer will design, build, and optimize scalable data architecture, backend services, and system integrations that power enterprise reporting and automation initiatives.
This role operates independently in production environments and thinks beyond dashboards. While Power BI is required, it is a requirement within the role not the primary identity. The focus is on strong data architecture, backend engineering, and systems thinking.
Responsibilities include but are not limited to:
- Design and optimize scalable SQL-based data architecture
- Build and maintain ETL pipelines and staging layers
- Develop and consume REST APIs for system integrations
- Build lightweight backend services (C# / .NET preferred)
- Improve system performance through indexing, tuning, and execution plan analysis
- Replace manual workflows with automated backend processes
- Design reusable data services across ERP, WMS, and external vendor systems
- Build and optimize Power BI semantic models with strong DAX logic
- Ensure clean separation between data modeling and visualization layers
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Submit 10x as many applications with less effort than one manual application.
