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About Care Access Care Access is working to make the future of health better for all.  With hundreds of research locations, mobile clinics, and clinicians across the globe, we bring world-class research and health services directly to communities that often face barriers to care.  We are dedicated to ensuring that every person has the opportunity to understand their health, access the care they need,  and contribute to the medical breakthroughs of tomorrow. With programs like  Future of Medicine , which makes advanced health screenings and research opportunities accessible to communities worldwide, and  Difference Makers , which supports local leaders to expand their community health and wellbeing efforts, we put people at the heart of medical progress. Through partnerships, technology, and perseverance, we are reimagining how clinical research and health services reach the world. Together, we are building a future of health that is better and more accessible for all. To learn more about Care Access, visit  www.CareAccess.com . How This Role Makes a Difference The Enterprise Performance Analytics Engineer will support the development and maintenance of our analytics infrastructure, working closely with  the data analysts, data engineers, and business stakeholders. This role is responsible for building and maintaining foundational data models, ensuring data quality, and enabling efficient and reliable reporting.    How You'll Make An Impact Design, build and maintain data pipelines, data marts, and other data components needed for the data analytics team.   Transform data into well-documented, tested, and trusted datasets for analysis and reporting.   Collaborate with data analysts and stakeholders to understand data needs and implement models that support dashboards, KPIs, and deep-dive analyses.   Help monitor data pipeline performance and resolve data quality issues proactively.   Contribute to documentation of data models, definitions, and data lineage.  Stay current with modern data stack tools and techniques and apply learning to support data team initiatives.   Provide ad hoc and regular cadence analytics and reporting that supports current goals and business initiatives   Provide business support to the operations team as needed and interface with strategic customers when required   The Expertise Required Proven analytical and organizational skills to meet deadlines in an environment of often-changing priorities, conceptual thinker comfortable with ambiguity    Proficiency in SQL and data warehousing concepts   Understanding of data modeling concepts   Exposure to modern data stack tools    Understanding of version control systems   Understanding of ETL/ELT processes and data pipeline concepts.   Ability to work effectively with data analysts, engineers, and business stakeholders to understand requirements and deliver usable data assets.   Certifications/Licenses, Education, and Experience: Minimum Education: Bachelor’s degree in a relevant field (e.g., Computer Science, Data Science, Statistics, Engineering, Information Systems) or equivalent practical experience.   Minimum Experience: 1-3 years of experience in a data-related role (e.g., data analyst, data engineering intern, analytics engineer)   How We Work Together Location : Remote within the United States. This role requires 100% of work to be performed in a remote office environment. Travel : This is a remote position with less than 10% travel requirements. Occasional planned travel may be required as part of the role. Physical demands associated with this position Include : The ability to use keyboards and other computer equipment. The expected pay range for this