Senior Data Engineer (Hybrid)

This role involves developing and deploying data pipelines, integrations, and transformations to support analytics and machine learning applications within a product team. Responsibilities include: partnering with product owners and analytics teams to identify, retrieve, and analyze data; building and validating analytical models; visualizing trends; and providing insights to support decision-making. Qualifications: a Bachelor's degree in a relevant field with at least five years of experience or an Associate’s degree with at least seven years of experience in data visualization, engineering, or analytical modeling. Strong skills in SQL, scripting languages (Python, JavaScript, etc.), API integration, big data processing (Apache Spark, Kafka), and machine learning are required. Knowledge of tools like Tableau, Power BI, Snowflake, and cloud platforms such as GCP is preferred. Additional details: Must be located within 100 miles of Rochester, MN for quarterly on-site visits. The position is full-time, exempt, and offers benefits. Key skills: analytical thinking, project management, cross-functional collaboration, excellent communication, and problem-solving abilities. Knowledge of DevOps, DataOps, and agile methodologies is a plus.