> Markdown version of [/jobs/ext/2507855-us-analytics-engineer](https://www.wearedevelopers.com/jobs/ext/2507855-us-analytics-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # US - Analytics Engineer - **Company:** Shriners Hospitals for Children - **Location:** Tampa, FL, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Business Analytics Applications, Data Analysis, Business Logic, Health Informatics, Continuous Integration, Data Architecture, Data Cleansing, Information Engineering, Data Governance, Data Infrastructure, Data Mart, Data Transformation, Data Security, DevOps, Machine Learning, Power BI, SQL Databases, Fast Healthcare Interoperability Resources, Microsoft Fabric, Pyspark, Information Technology, Health Level Seven International, Azure Synapse Analytics, Software Version Control, Databricks - **Published:** August 6, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=94d69350e97d4bec ## About the Role * Bachelor's degree in Data Science, Computer Science, Healthcare Informatics * 3+ years of experience in data engineering, analytics development, or BI engineering (healthcare experience preferred). * Proficiency in PySpark, SQL, and DAX for data preparation and transformation. * Experience with Power BI or similar BI tools for semantic modeling and visualization. * Understanding of healthcare data standards (FHIR, HL7, OMOP) and compliance frameworks (HIPAA). * Experience working in Agile or DevOps environments. Preferred Qualifications * Familiarity with modern data platforms such as Microsoft Fabric, Databricks, or Azure Synapse. * Experience integrating analytics workflows with AI/ML solutions. * Knowledge of version control, CI/CD, and environment-based deployment practices. * Advanced degree in Data Science, Computer Science, Healthcare Informatics, or related field Compensation is determined based on years of relevant experience and departmental equity. ## Description The Analytics Engineer plays a key role in designing, building, and maintaining the data assets that power analytics, reporting, and AI-driven initiatives across the organization. This individual bridges data engineering and business intelligence-transforming raw healthcare data into trusted, analytics-ready models and scalable insights. The ideal candidate will be fluent in PySpark, SQL, and modern data modeling techniques, with a strong understanding of healthcare data standards and the analytical needs of clinical and operational stakeholders., Data Engineering and Modeling * Develop and optimize data transformation workflows in PySpark and SQL to prepare data for analytics and reporting. * Design, maintain, and document semantic models and data marts in alignment with enterprise data architecture (e.g., medallion or layered lakehouse design). * Collaborate with data governance and quality teams to ensure adherence to standards, lineage, and DQA processes. * Automate and orchestrate data refresh processes for analytics environments. Analytics Enablement * Build efficient and reusable data models to support Power BI and AI/ML use cases. * Partner with analysts, data scientists, and business leaders to ensure reliable access to curated, high-quality data. * Build and maintain enterprise reports and dashboard including measures, KPIs, and business logic that populates them. Healthcare Data & Compliance * Work with FHIR, HL7, and other healthcare data standards to harmonize and integrate data across systems. * Implement best practices for HIPAA compliance, privacy, and secure data handling within all analytics workflows. Innovation and Continuous Improvement * Contribute to the modernization of analytics infrastructure, enabling AI and predictive analytics readiness. * Explore and prototype new tools or frameworks to improve efficiency, reliability, or insight delivery. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)