Senior Data Engineer

🚀 Hiring: Senior Data Engineer (AI + Databricks) | Healthcare / Medical Device Domain We’re looking for a Senior Data Engineer with strong experience in Azure Databricks + AI/LLM infrastructure to support next-gen analytics and intelligent data platforms in a regulated (medical device / healthcare) environment. 🔍 What you’ll do: • Build and scale data engineering pipelines using Databricks, Spark, Python, and SQL • Develop and support AI-powered data platforms integrating LLMs (Claude or similar) • Work on unstructured → structured data transformation (complaints, quality, service data, etc.) • Enable AI-driven analytics across quality, manufacturing, and business functions • Ensure data compliance, governance, and traceability in regulated environments 🛠 Must-have skills: • Strong hands-on experience with Azure Databricks • Expertise in data engineering (ETL/ELT, pipelines, Spark, Delta Lake) • Proficiency in Python & SQL • Exposure to AI/ML or LLM infrastructure (Generative AI, NLP, RAG, etc.) • Experience in pharma / medical device or other regulated domains (FDA, GxP) ➕ Nice to have: • Experience with Claude (Anthropic) or similar LLMs • Knowledge of data governance, compliance, and audit frameworks • Integration experience with enterprise systems (SAP, Salesforce, QMS tools) 🎓 Education: • Master’s degree preferred 💼 Who you are: A hands-on builder who has worked on foundational data platforms, understands regulated data environments, and is excited to bring AI into real-world business use cases. 📩 Interested or know someone who’s a great fit? #DataEngineer #Databricks #AI #GenerativeAI #Healthcare #Hiring #LLM #BigData EEO Statement: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.