We are seeking a highly skilled and proactive Data Warehouse Engineer to join our team. In this role, you will transform complex, unstructured data from a variety of sources into consistent, machine-readable formats that support predictive and prescriptive analytics. You will design, develop, and test scalable data pipelines and ETL architectures, playing a key role in driving data-informed decision-making across the organization. This position requires strong analytical abilities, programming expertise, and a collaborative mindset. If you’re passionate about building data infrastructure that powers business intelligence, we want to hear from you. Remote- but must sit in one of these states: Arkansas, California, Colorado, Georgia, Idaho, Illinois, New Hampshire, Nevada, Oklahoma, Oregon, Pennsylvania, Texas, and Washington. Essential Duties And Responsibilities • Design, develop, and maintain scalable and efficient data pipelines that ensure high data quality and integrity. • Integrate and harmonize data from multiple sources to support analytics and reporting initiatives. • Build and test robust ETL architectures to streamline data extraction, transformation, and loading processes. • Partner with the Business Intelligence team to support data modeling and analytical frameworks. • Monitor, troubleshoot, and optimize data systems to ensure optimal performance and reliability. • Ensure thorough documentation of data pipelines, transformations, and governance processes. • Work with analysts and stakeholders to understand data needs and provide technical support for analytical projects. • Implement and maintain security and compliance protocols in line with relevant standards and regulations. • Resolve data-related issues in a timely and effective manner. Qualifications And Requirements • Proven ability to build positive, collaborative working relationships across diverse teams. • Proficiency in Python and SQL for data manipulation and automation. • Hands-on experience with ETL tools and data warehousing platforms, particularly Microsoft SQL Server and Azure. • Certification in Epic Clarity data model and Caboodle Development required; additional Epic certifications are a plus. • Experience developing extracts from OCHIN Epic preferred. • Strong analytical thinking with attention to detail and problem-solving capabilities. • Excellent verbal and written communication skills. • Ability to work independently and manage multiple priorities in a fast-paced environment. • Creative thinker who brings new ideas and solutions to the table. • Must be able to work during Pacific Standard Time (PST) business hours. • Experience with healthcare industry data and standards is highly desirable. Education And Experience • Bachelor’s degree or equivalent combination of education and related experience. • Minimum of 5 years of advanced data engineering experience.