Data Engineering Internship - AZ, CA, CO, ID, TX

**THIS POSITION IS NOT ELIGIBLE FOR CURRENT OR FUTURE SPONSORSHIP** **Company Description** Ensign Services supports Skilled Nursing and Assisted Living facilities by providing centralized operational, clinical, and administrative services. The organization focuses on improving resident care through data-informed decision-making and efficient support systems. Team members collaborate with facility staff to enhance quality, compliance, and performance across multiple locations. Interns have the opportunity to contribute to meaningful work that directly impacts residents and caregivers in a healthcare environment. **Role Description** This is a full-time, on-site Data Engineering Internship based in Orange, CA. The intern will assist with collecting, cleaning, and organizing data from various systems used by Skilled Nursing and Assisted Living facilities. Day-to-day responsibilities include supporting data pipelines, helping build and maintain data models, and preparing datasets for analytics and reporting. The role also involves collaborating with data engineers, analysts, and operational teams to understand business requirements and translate them into structured data solutions. Interns will document processes, troubleshoot data issues, and contribute to continuous improvement of data quality and accessibility. **Qualifications** * Strong foundation in Data Analytics and Data Analysis, with the ability to interpret and summarize data for decision-making. * Solid Analytical Skills and attention to detail for identifying trends, anomalies, and opportunities for improvement. * Experience or coursework in Data Management, including organizing, cleaning, and validating datasets. * Understanding of Data Modeling concepts, such as relational databases, schemas, and basic ETL principles. * Working knowledge of SQL or similar query languages; exposure to Python, R, or other scripting languages is beneficial. * Experience with Microsoft Fabric or similar platform * Experience with Power BI or similar platform * Currently pursuing or recently completed a degree in Computer Science, Data Science, Information Systems, or a related field. * Ability to work collaboratively on-site with cross-functional teams and communicate clearly with technical and non-technical stakeholders. * Interest in healthcare or long-term care environments and willingness to learn industry-specific systems and regulations. **Position Summary** * Expected work week is 40 hours/week * Compensation level for this position is $25/hour * This is a hybrid position