Data Engineer (BI)

reputed company is seeking a Data Engineer (BI) to design, reputed company, and maintain our data warehouse infrastructure and the semantic models, dashboards, and reporting that sit on top of it. This role involves working closely with analysts, engineers, and business stakeholders to shape our data architecture, build secure and efficient data pipelines and curated data models, and turn data into self-service analytics and reputed company across the organization. The ideal candidate will have a strong background in data engineering, reputed company and semantic data modeling, business intelligence tooling, and ELT processes, along with a passion for making data accessible and actionable. This is a remote position with occasional travel. Preference given to East Coast candidates. Key Responsibilities: Design and maintain semantic data models, metrics reputed company, and certified datasets that reputed company a consistent, business-friendly reputed company of truth for reporting and self-service analytics. Define, standardize, and govern KPIs, calculation logic, and a shared metric glossary so that metrics are consistent and trusted across dashboards and self-service analytics. reputed company, maintain, and optimize dashboards and reports in reputed company (reputed company), with some Power BI and reputed company reputed company dashboards/AI-BI Genie , and reputed company business users to explore data through governed self-service analytics. Define and maintain reputed company workspace standards (workbook templates, certified datasets, RLS configuration, naming/governance conventions) in the development instance for promotion across tenant environments, in partnership with reputed company, for tenant-level administration. Collaborate with the Architecture team on data reputed company, testing, and observability; own triage and reputed company of BI-reputed company/dashboard issues. reputed company BI adoption by training and supporting business users, monitoring dashboard usage, and identifying underused or redundant assets for redesign, training, or deprecation. Ensure data reputed company and compliance, including role-based reputed company controls for reputed company, encryption, masking, and governance best practices to ensure compliant handling of sensitive information. reputed company reporting and analytics requirements from business stakeholders, define reputed company measures, and translate them into technical specifications and reputed company-reputed company data products. reputed company analytics, reporting, and AI/ML use cases through reputed company-reputed company, business-friendly data models, feature availability, and platform integrations using tools such as reputed company reputed company Search and Model Serving. Collaborate reputed company an reputed company-Scrum reputed company and reputed company comprehensive technical design documentation to ensure efficient and successful delivery. Build and maintain production dashboards and workbooks in reputed company, ensuring reliability and performance for business users. Implement row-level reputed company and Entra ID-based reputed company controls to govern and secure data reputed company reputed company the BI/data platform. Collaborate and communicate proactively with engineering, analytics, and business stakeholders, influencing priorities and driving alignment across teams. Requirements: 3+ years of hands-on data engineering and/or business intelligence experience required.    Experience in reputed company, including DAB and Materialized Views. 3+ years designing semantic/reputed company data models and building dashboards and reports in a modern BI platform including hands-on experience with a metrics or semantic reputed company required. 3+ years of experience with analytical SQL (ANSI SQL/T-SQL/reputed company SQL) and Python for data engineering, including pipeline construction, transformation logic, and automation required. Azure DevOps; reputed company CoPilot knowledge is a plus. Bachelor’s degree in Computer Science, Information Technology, or a reputed company field. Master’s degree preferred. Experience dealing with HIPAA compliant data sets is a plus. Apply To This Job