Data Developer - Minnesota candidates only

King Solutions Inc.•Dayton, MN

About The Position

King Solutions is a logistics service provider in Dayton, Minnesota, built on a foundation of faith, integrity, and innovation. We create logistics solutions that simplify, streamline, and scale to meet each customer’s unique needs while building lasting relationships. Our culture is rooted in teamwork, creativity, and service. Through our MaKING A Difference program, employees give back to the community, support one another, and take part in company events that strengthen connection and celebrate success. At King, you will find more than a career. You will find a place where your ideas are valued, your work matters, and faith and community guide everything we do. Out of state candidates will not be considered POSITION SUMMARY: This role focuses on designing, coding, testing, and monitoring data-related systems and applications.

Requirements

Min. HS Diploma, GED or equivalent
Proficiency in SQL, Python, Power BI, and DAX
Solid understanding of data technologies and platforms (such as Microsoft Fabric)
Experience with database design and data modeling
Strong problem solving and analytical skills
Excellent communication and collaboration skills
Adaptability, ability to shift focus when priorities change
Agility, ability to iterate through tasks and work on multiple projects

Responsibilities

Database Management – design, optimize, and maintain relational and non-relational databases to ensure data integrity, performance, and accessibility
Data Integration – integrate disparate data sources (e.g. API’s and cloud platforms) to create unified datasets for analysis and reporting
Data Pipeline Development – build, test, and maintain scalable pipelines that transform raw data into usable formats for analysis and other applications
Report Development and Data Visualization – design, build, and maintain reports and dashboards. Train end users on BI tools and best practices for self-service reporting
Automation & Optimization – automate repetitive data processes and optimize queries to improve performance and reduce latency in data deliver
Testing and monitoring – ensure data systems and applications are functioning correctly and are performing as expected
Understanding business needs – collaborate with other teams to understand business requirements and ensure the data solutions meet those needs
Other duties as assigned