Sr. Data Engineer

CBTS is looking for a Senior Data Engineer who thrives at the intersection of complex data ecosystems and modern cloud architecture. This is a high-impact, lead-level role where your fingerprints will be on the data platforms powering clinical operations, financial systems, and enterprise analytics — at scale.If you've spent years mastering Azure, building enterprise-grade pipelines, and you're energized by the idea of integrating AI/LLM-driven workflows into real-world data infrastructure, we want to talkWhat You'll OwnLead end-to-end data integration across Clinical/EMR, Practice Management, CRM, HR, and Accounting systems into scalable, high-performance platformArchitect and build robust Data Warehouses and database solutions using Microsoft SQL Server and Azure technologieDesign and optimize complex ETL/ELT pipelines with Azure Data Factory, Python, and Azure-native services — built for reliability at enterprise scalePioneer AI-powered data workflows, orchestrating pipelines that leverage LLMs for intelligent document extraction and processingDrive Master Data Management (MDM) strategies that enforce consistency and integrity across the enterpriseMentor and elevate junior engineers, fostering a culture of knowledge-sharing, code quality, and continuous improvementPartner with stakeholders across the business to translate evolving requirements into durable, production-grade solutionEvaluate and champion emerging Azure capabilities, leading proofs of concept to push the platform forwardWhat You Bring7+ years in database and ETL/ELT development4+ years of deep, hands-on Azure Data Factory (ADF) experience3+ years working with healthcare and/or financial data in a regulated environment2+ years of Python developmentAdvanced T-SQL and SQL Server proficiencyStrong command of data modeling, schema design, and indexing strategiesTrack record of taking solutions from concept to production in complex environmentBachelor's degree or higherBonus PointExperience in Healthcare or Clinical IndustrieHands-on work with AI/LLM-based document extraction pipelinesWhy This RoleThis isn't a role where you maintain the status quo — it's one where you define it. You'll have the autonomy to set engineering standards, lead technical strategy, and build systems that directly impact delivery and business outcomes. Hybrid flexibility included.Applicants to this role must be authorized to work in the United States without sponsorship.