Senior Data Engineer

🚀 Senior Data Engineer (AWS) 📌 Contract Details 📍 Location: Remote (US-Based) — Tampa Bay (St. Pete/Tampa) 🕒 Hours: 30–40 hrs/week once ramped ⏳ Length: ~12-month contract (long-term engagement) 💰 Pay Rate: $80–$100/hr depending on seniority We’re hiring a senior-level, AI-forward Data Engineer to help architect and scale a large healthcare data lake in AWS. This is not an old-school ETL role. We’re looking for a modern engineer who actively leverages AI tools in their daily workflow to accelerate development, pipeline design, and complex data transformation work. 🏗️ What You’ll Be Building • 📥 Ingest large healthcare data dumps into AWS (S3) • 🧱 Architect and scale a centralized data lake • 🔁 Build and maintain pipelines for: • 🕵️ ♂️ De-identification + expert determination workflows • 🥇 Creating a unified “gold copy” across datasets • 📦 Enable downstream commercial data products • 📊 Operate in very large-scale environments (up to 2 PB) • 🧠 Work with complex, text-heavy healthcare datasets (clinical + patient text fields) You’ll start with 3 datasets and help scale to 350+ datasets. 🔍 What We’re Looking For ✅ Must-Have • Strong Data Engineering background in modern cloud architectures • Deep experience building data lakes in AWS (S3 required) • Comfortable working with large-scale datasets (TB → PB scale) • Proven experience designing scalable ingestion + transformation pipelines • AI-forward workflow — actively using tools such as Cursor, Copilot, Claude, or similar tools in day-to-day development ⭐ Nice-to-Have • Healthcare, health-tech, or HR systems experience • Experience working with HIPAA/PHI datasets • Background in de-identification or sensitive data handling 🌟 Who Will Thrive Here? • 🛠️ Engineers who build, not maintain legacy pipelines • ⚡ AI-native developers who use modern tools to move faster • 🧩 Data engineers comfortable with ambiguity and scale • 🧠 Builders who want to shape architecture early If you’re excited about scaling a healthcare data lake from 3 to 350+ datasets and building foundational infrastructure for commercial data products — let’s connect. 🤝