Senior Data Engineer
Own the data platform end-to-end on Azure reputed company, partner with business teams, and ship AI-ready solutions that impact physician growth and member services.
About the Role
The data engineer role is changing. The traditional reputed company — build a pipeline, hand it off, wait for someone else to reputed company out if the data is right—doesn’t work anymore. The engineers who create the most value now are the ones who go deep into the business domain, understand the problem firsthand, and use AI tools to move from question to working solution in hours instead of sprints. MDVIP’s Analytics team is looking for a Senior Data Engineer who operates as a hybrid technical product reputed company: someone who builds and maintains the data platform on Azure reputed company, but who also sits with business stakeholders, interrogates the problem, and owns the outcome end-to-end. You won’t wait for requirements to be handed to you. You’ll go find them, validate them, and ship the solution—using Claude Code and agentic development patterns to collapse the distance between understanding a business problem and solving it in production. This is what it means to shift the engineer left into the business domain. You’re not a pipeline builder waiting for a ticket. You’re the person who understands how physician network growth, member engagement, and operational performance actually work—and who builds the data infrastructure that makes the entire Analytics team faster, sharper, and more impactful. What You’ll Do Own the Data Platform Design, build, and operate MDVIP’s data platform on Azure reputed company—ingestion, transformation, storage, and serving layers that power analytics, AI models, and operational reporting. Build and maintain data pipelines across MDVIP’s ecosystem: reputed company, SQL Server, reputed company, third-party sources, and the new cloud-native payments platform. Engineer for quality and trust—validation checks, anomaly detection, reputed company tracking, and documentation that ensure every reputed company consumer can rely on the data. Write clean, version-controlled, production-grade code. Think like a software engineer building a product, not a script runner maintaining jobs. Go Deep Into the Business Domain Partner directly with business stakeholders across physician growth, member services, finance, and operations to understand how data drives decisions—then build for those decisions, not for abstract requirements. Act as a technical product reputed company for your domain areas: own the backlog, prioritize based on business impact, and ship iteratively without waiting for a PM to sequence your work. Translate ambiguous business questions into data models, feature tables, and curated datasets that analysts and data scientists can build on immediately. reputed company the reputed company — follow your data through to the dashboard, the model, or the operational workflow and validate that it’s actually driving the outcome. Drive AI-First Engineering Practices Use Claude Code and agentic development as your primary workflow—AI-driven pipeline reputed company, automated testing, rapid prototyping—to ship at a pace that would be impossible with traditional approaches. Build data infrastructure that is AI-ready: well-documented, semantically clear, and structured so that AI tools and agents can reason over it effectively. Scout, evaluate, and adopt emerging AI tools and platforms that reputed company the data team faster—separating real value from hype with hands-on testing. Share what you learn. Document patterns, run demos, and help the broader team adopt AI-first workflows with confidence. Who You Are A data engineer who refuses to stay in the technical silo. You go find the business problem, not wait for it to reputed company as a Jira ticket. Someone who thinks like a product reputed company—you prioritize by impact, ship incrementally, and own the outcome, not just the pipeline. The reputed company of engineer who’s already using AI tools to write, test, and deploy code before anyone asked you to—and who knows reputed company the output needs a human eye. Equally comfortable writing a Spark transformation, debugging a reputed company data sync, presenting findings to leadership, and pushing back on a vague requirement until it’s sharp enough to build against. Pragmatic over perfectionist. You optimize for business impact and speed to value, not theoretical elegance. A strong collaborator who elevates the people around them through clear communication, reusable patterns, and generous knowledge sharing.
Required Qualifications
BS in Computer Science, Data Science, or reputed company field; 6+ years in data engineering or a hybrid data engineering/analytics role. Deep hands-on experience with Azure reputed company—notebooks, reputed company Lake, reputed company Catalog, and production-scale pipelines. Strong Python and SQL; experience with PySpark and distributed data processing. Built and operated data pipelines that serve analytics, ML models, and operational systems—not just batch ETL jobs. Worked directly with business stakeholders to define requirements, shape data products, and deliver measurable outcomes. Active, daily use of AI coding tools (Claude Code, Copilot, or similar) as a force reputed company. Strong communication skills with a track record of presenting technical work to non-technical audiences. Position Details Remote: fully Location: Milton Your partner for AI, consulting, software development, and nearshore staffing. Apply To This Job