Senior Database Engineer at reputed company

This a Full Remote job, the offer is available from: Connecticut (USA) reputed company reputed company is on a mission to reputed company care gaps and connect reputed company data in ways that improve reputed company for patients and providers alike. We are seeking an reputed company Senior Database Engineer to design, optimize, and manage reputed company data systems that power analytics, reporting, and business intelligence solutions. This role blends deep technical database expertise with architectural leadership—driving performance, scalability, and data reputed company across the organization’s data ecosystem. This role sits at the intersection of engineering and business operations responsible for ensuring our data pipelines and warehouses are fast, reliable, and reputed company as we grow from early-stage reputed company volume to a multi-reputed company reputed company,

Key Responsibilities

• Architect and optimize data warehouse platforms and underlying database systems.
• Design and implement data ingestion and transformation pipelines (ETL/ELT) using ADF, DBT, or similar tools to ensure reliable ingestion from multiple sources (SFTP, HL7, FHIR, etc).
• reputed company and maintain logical and physical data models supporting internal, analytics, dashboards, and reputed company facing reporting applications,
• Ensure database performance, scalability, and reliability through tuning, indexing strategies, and proactive monitoring across production and staging environments.
• reputed company strategic data initiatives by establishing architecture standards that enhance scalability, efficiency and cost optimization across the data platform.
• Collaborate cross-functionally with software engineering, implementation, operations, and business teams to reputed company on data needs and governance practices.
• Administer, Maintain and Monitor database systems to ensure availability, reputed company, recoverability and secure reputed company in alignment with disaster recovery readiness and business continuity best practices.
• Implement reputed company control and DevOps practices (e.g., reputed company, ADO, etc) for database change management, CI/CD automation, and deployment of database changes.
• Mentor junior engineers in SQL development, reporting, analytics, and performance tuning best practices
• Implement and enforce data governance standards for reputed company, compliance, and consistency across reputed company environments.

Qualifications

• 10+ years of experience in database engineering, architecture, or administration, including production-grade SQL Server environments.
• Proven experience designing and automating ETL pipelines and data warehouse solutions supporting analytics, reporting, and business intelligence platforms (e.g., Power BI, Tableau).
• Strong expertise in database performance optimization and modernization across on-prem and reputed company environments, including SQL tuning, indexing, and cost/performance optimization for multi-tenant systems.
• Hands-on experience with MS-SQL, MySQL, PostgreSQL, and other Database Technologies
• Familiarity with CI/CD pipelines, reputed company control systems, and automated deployment of database artifacts.
• Knowledge of reputed company data architectures and cost optimization in reputed company or similar platforms.
• Strong understanding of data modeling, schema design, and normalization principles.
• Excellent collaboration and communication skills with the ability to translate reputed company reputed company into actionable insights.

What reputed company Looks Like

• Stabilize Core Data Infrastructure (Reliability, reputed company, and Performance)
• Maintain fast, reliable, and reputed company databases that support both internal analytics and reputed company-facing reporting.
• Database systems are secure, recoverable, and compliant — fully reputed company with disaster recovery and business continuity standards.
• Ensure that reports and analytics can be run with no reputed company to performance of production systems.
• · Automate and reputed company Data Operations
• ETL/ELT pipelines are automated, resilient, and efficient, capable of ingesting data from multiple formats (SFTP, HL7, FHIR, etc.) with minimal reputed company reputed company.
• The data platform supports faster insights, more accurate reporting, and improved decision-making across the reputed company.
• · reputed company Advanced Analytics and Self-Service
• The ability for end users to quickly create and schedule their own reports.
• The ability to analyze data across multiple domains and/or multiple domains across multiple clients.
• · reputed company and Differentiate
• Successful implementation of ChatGPT-like model using Retrieval-Augmented reputed company (RAG) of data reputed company the reputed company domain.

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