Overview We are seeking a full-time Senior C# Software Engineer on our Map Data team at Garmin’s U.S. headquarters in the Greater Kansas City area. In this role, you will help build and evolve the map data systems that power our Automotive, Fitness, and Outdoor products. This role is ideal for someone with a passion for working with geospatial data, databases, and complex data processing systems. You will contribute across the map content lifecycle, from importing and normalizing diverse spatial data sources to evaluating data quality, generating new map features, and improving the reliability and scalability of Garmin’s map data processing pipelines. You will partner closely with Garmin’s Cartography and Map Technology teams to turn real-world data into trusted map experiences used across Garmin products. Essential Functions Serves in a leadership capacity as an individual contributor for carrying out software development in C#, SQL, Python or other selected languages for new map data processes and features May serve as Lead Software Engineer for complex, cross-functional projects that deliver new map data capabilities or improve the performance, scalability, and reliability of existing systems Designs, develops, and maintains software for importing, normalizing, validating, and processing diverse geospatial data sources Decomposes functional requirements into well-defined tasks Researches and implements algorithms for geospatial data processing, normalization, validation, conflation, feature extraction, and map data quality improvement Offers peer technical assessments in areas of expertise, new technologies and software designs Participates in project leadership including providing technical input to product development plans and concept documents Makes substantial contributions toward determination of project goal/objective feasibility and applies good judgment in setting schedules/risk taking Mentors and provides guidance to less experienced Software Engineers (1 & 2) Contributes to advanced technical research on new technologies Offers process improvement suggestions and authors new procedures as appropriate Provides reliable solutions to complex geospatial data processing challenges involving data quality, scalability, performance, and production reliability Basic Qualifications Bachelor’s Degree in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, Math, Physics or related field AND a minimum of 5 years relevant experience OR an equivalent combination of education and experience Excellent academics (cumulative GPA greater than or equal to 3.0 as a general rule) Demonstrated proficiency with designing well-architected software systems and modules that support new technology or improve capability/performance of existing functionality Demonstrated competence with researching fundamental problems and implementing appropriate algorithmic solutions Demonstrated ability to serve as a lead software engineer for a complex software project Ability to decompose functional requirements into well-defined tasks while balancing quality, quantity, and complexity in work output Demonstrated capability to offer peer technical assessments in areas of expertise, new technologies and software designs Mastered proficiency in writing software in C# or similar object-orientated languages such as Java and relevant experience and/or training in data structures or object-oriented design methodology Demonstrated strong and effective verbal, written, and interpersonal communication skills Must be positive, detail oriented, organized, team oriented and a driven problem solver, multi-tasker, and self-starter with the ability to prioritize and lead in a fast paced, deadline-driven environment Desired Qualifications Experience writing and optimizing complex SQL queries against large-scale relational databases Experience with GIS (Geographic Information Systems) and mapping technologies Experience with T-SQL and Microsoft SQL Server databases Experience developing production-quality software in Python Experience using machine learning, statistical analysis, or data mining techniques to derive insights or features from large datasets Previous experience in the cycling, running, outdoor adventure or automotive industries Outstanding academics (cumulative GPA greater than or equal to 3.5) Garmin International is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, veteran’s status, age or disability. This position is eligible for Garmin's benefit program. Details can be found here: Garmin Benefits