Data Engineer

We are looking for a Data Engineer to help design and enhance data solutions that support reliable reporting and analytics in Salt Lake City, Utah. This role focuses on building scalable data pipelines, shaping well-structured warehouse models, and improving the quality and usability of enterprise data assets. The ideal candidate brings strong experience with SQL, Python, AWS technologies, and dimensional modeling principles grounded in the Kimball methodology.Responsibilities:• Build and maintain data pipelines that ingest, transform, and prepare information for downstream analytics and business use.• Design warehouse structures using Kimball-based dimensional modeling practices to support clear, consistent reporting.• Develop and optimize SQL- and Python-driven data workflows with an emphasis on scalability, performance, and maintainability.• Partner with analysts, engineers, and business stakeholders to translate data needs into practical engineering solutions.• Create and manage data transformation logic using dbt to improve testing, documentation, and deployment consistency.• Support cloud-based data platforms in an AWS environment and contribute to ongoing improvements in data architecture.• Monitor data quality and troubleshoot pipeline issues to ensure dependable delivery of curated datasets.• Contribute to modern data engineering practices, including tools such as PySpark when needed for larger-scale processing.