Senior Data Engineer

About the role

MDVIP’s Analytics team is seeking a Senior Data Engineer who blends deep technical expertise with a product‑owner mindset. You will own the end‑to‑end data platform on Azure Databricks while working closely with business stakeholders to turn ambiguous questions into reliable data solutions.

Key responsibilities

• Design, build, and operate the data platform on Azure Databricks, covering ingestion, transformation, storage, and serving layers.
• Develop and maintain pipelines connecting Salesforce, SQL Server, Snowflake, third‑party sources, and a cloud‑native payments platform.
• Implement quality controls such as validation checks, anomaly detection, lineage tracking, and thorough documentation.
• Partner directly with physicians, finance, member services, and operations teams to translate business needs into data models, feature tables, and curated datasets.
• Act as the technical product owner for your domain: manage the backlog, prioritize work by business impact, and ship iteratively without waiting for a separate PM.
• Close the loop by following data through dashboards, AI models, or operational workflows to ensure it drives the intended outcomes.
• Leverage Claude Code and agentic development patterns to accelerate pipeline generation, testing, and rapid prototyping.

Required profile

• Senior‑level experience in data engineering and platform ownership.
• Proactive problem‑solver who seeks out requirements and validates them with stakeholders.
• Strong product‑owner mindset, able to prioritize and deliver end‑to‑end solutions.
• Comfortable working in a fast‑moving, AI‑first environment.

Required skills

• Azure Databricks
• Salesforce
• SQL Server
• Snowflake
• Claude Code (AI‑assisted coding)
• Agentic development patterns