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.