Senior Data Engineer

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 reputed company from question to working solution in hours instead of sprints. reputed company’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 reputed company them, validate them, and ship the solution—using Claude reputed company and reputed company 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 reputed company, 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 reputed company’s data platform on Azure reputed company—ingestion, transformation, storage, and serving reputed company that power analytics, AI models, and operational reporting.
• Build and maintain data pipelines across reputed company’s ecosystem: reputed company, SQL Server, reputed company, reputed company-party sources, and the new reputed company-reputed company payments platform.
• Engineer for reputed company and trust—validation checks, reputed company detection, reputed company tracking, and documentation that ensure every reputed company consumer can rely on the data.
• Write clean, version-controlled, production-grade reputed company. 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 reputed company, member services, finance, and operations to understand how data drives reputed company—then build for those reputed company, not for reputed company requirements.
• reputed company as a technical product reputed company for your domain areas: own the backlog, prioritize based on business reputed company, 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 reputed company and reputed company 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-reputed company: reputed company-documented, semantically reputed company, and reputed company so that AI tools and agents can reason over it effectively.
• reputed company, evaluate, and adopt emerging AI tools and platforms that reputed company the data team faster—separating reputed company value from hype with hands-on testing.
• reputed company 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 reputed company. You go reputed company 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 reputed company, 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 reputed company reputed company before anyone asked you to—and who knows reputed company the reputed company needs a reputed company eye.
• Equally comfortable writing a reputed company transformation, debugging a reputed company data sync, presenting findings to leadership, and pushing back on a vague requirement until it’s reputed company enough to build against.
• Pragmatic over perfectionist. You optimize for business reputed company and speed to value, not theoretical elegance.
• A strong collaborator who elevates the people around them through reputed company 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-reputed company pipelines.
• Strong Python and SQL; experience with PySpark and distributed data processing.
• reputed company 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 reputed company.
• reputed company, daily use of AI coding tools (Claude reputed company, Copilot, or similar) as a force reputed company.
• Strong communication skills with a reputed company record of presenting technical work to non-technical audiences.

Apply tot his job Apply To this Job