Data Engineer
Siemens Healthineers
Summary
Varian Medical Systems, a Siemens Healthineers company is hiring for a Data Engineer. We are looking for an experienced data engineer to help build and evolve our enterprise data, analytics, and AI platform. This role focuses on developing scalable data products, semantic models, automation solutions, and trusted data assets using Snowflake and modern cloud technologies.
Job description
Responsibilities
Data Platform Integration (Snowflake, Fabric, Power BI)
- Enable AI systems to interact with structured data using optimized SQL queries and semantic models
- Design AI-ready data layers including curated datasets, semantic models, and vector-enabled data structures
- Create trusted datasets and reusable business metrics for analytics and reporting
- Collaborate with data teams to ensure high quality, well modeled data pipelines that support AI use cases
- Enable self-service analytics through governed and well-documented data assets
Automation & Workflow Orchestration
- Build intelligent automation using Python, APIs, and orchestration tools
- Develop agent driven workflows for automated reporting, stakeholder Q&A and decision support
- Integrate AI systems with enterprise tools (Snowflake, Salesforce, etc.) for end-to-end automation
Collaboration & Communication
- Work across business, analytics, and engineering teams to identify high impact AI use cases
- Translate technical AI solutions into clear business outcomes and value propositions
- Present architecture decisions, tradeoffs, and governance considerations to stakeholders
- Contribute to best practices, reusable components, and internal knowledge sharing
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field
- 4+ years of experience in Data Engineering, Analytics Engineering, or Data Platform Development
- Strong experience with Snowflake, SQL, and Python
- Experience with data modeling, data warehousing, and ETL/ELT development
- Experience designing scalable enterprise data solutions
- Strong problem-solving and communication skills
Preferred Skills & Experience
- Familiarity with Generative AI concepts including LLMs, RAG, vector search, and prompt engineering
- Experience building enterprise copilots, conversational AI solutions, or intelligent automation workflows
- Experience with Databricks, Microsoft Fabric, or cloud analytics platforms
- Experience in regulated industries such as healthcare or medical devices
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field
- 4+ years of experience in Data Engineering, Analytics Engineering, or Data Platform Development
- Strong experience with Snowflake, SQL, and Python
- Experience with data modeling, data warehousing, and ETL/ELT development
- Experience designing scalable enterprise data solutions
- Strong problem-solving and communication skills
Benefits
- Medical, Dental & Vision
- 401(k) Retirement Plan
- Life Insurance
- Long-term & Short-term Disability
- Paid Parking/Public Transportation
- Paid Time Off
- Paid Sick and Safe Time
Company overview
Siemens Healthineers is a German multinational medical technology company specializing in diagnostic and therapeutic imaging, laboratory diagnostics, and molecular medicine. Founded in 2017 as a spin-off from Siemens AG, the company has established itself as a global leader in healthcare technology with a comprehensive portfolio that addresses the complete care continuum for many of the world's most threatening diseases. With approximately 69,500 employees worldwide and operations in over 70 countries, Siemens Healthineers generates annual revenues exceeding €21 billion. The company's product offerings span across four main business segments: Imaging (including CT, MRI, ultrasound, and X-ray systems), Diagnostics (laboratory and point-of-care testing), Varian (cancer care and radiation therapy), and Advanced Therapies. Siemens Healthineers is particularly renowned for pioneering breakthroughs in medical imaging, having developed the world's first commercial PET/CT scanner and continuing to innovate in areas such as artificial intelligence, digital health solutions, and precision therapy. The company's commitment to research and development, with annual investments of approximately €1.5 billion, drives its mission to pioneer breakthroughs in healthcare for everyone, everywhere, sustainably.