Data Engineer

Siemens Healthineers AG

United States

On-site

USD 80,000 - 111,000

Full time

2 days ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
401(k) retirement plan
Life insurance
Disability insurance
Paid parking/public transportation
Paid time off
Paid sick time

Job summary

Varian Medical Systems, a Siemens Healthineers company, is hiring a Data Engineer to build and evolve our enterprise data, analytics, and AI platform using Snowflake and modern cloud technologies. You will develop scalable data products, semantic models, and trusted data assets to enable self-service analytics and enterprise reporting.

You will partner with business stakeholders, data engineers, and platform teams to deliver AI-enabled capabilities, automate reporting, and support

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.

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

Skills

Problem-solving
Communication

Education

Bachelor's or Master's in Computer Science/Data Science/Information Systems

Tools

Snowflake
SQL
Python
Databricks
Microsoft Fabric
Cloud analytics platforms

Job description

About the role

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. These capabilities will serve as the foundation for self-service analytics, enterprise reporting, intelligent automation, and future AI-powered applications. You will partner with business stakeholders, data engineers, and platform teams to build scalable data products, intelligent automation solutions, and AI-enabled capabilities that enhance self-service analytics and improve business productivity.


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.


About Us

We are a team of more than 72,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision-making and treatment pathways.


How we work

When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual’s potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world’s most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably.


Base pay range

The base pay range for this position is: $80,370 - $110,506. Factors which may affect starting pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate. If this is a commission eligible position the commission eligibility will be in accordance with the terms of the Company's plan. Commissions are based on individual performance and/or company performance.


Benefits


  • medical insurance

  • dental insurance

  • vision insurance

  • 401(k) retirement plan.

  • life insurance

  • long-term and short-term disability insurance

  • paid parking/public transportation

  • paid time off

  • paid sick and safe time.


Equal Employment Opportunity Statement

Siemens Healthineers is an Equal Opportunity and affirmative action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law. EEO is the Law: Applicants and employees are protected under Federal law from discrimination.


Export Control

"A successful candidate must be able to work with controlled technology in accordance with US export control law." "It is Siemens Healthineers' policy to comply fully and completely with all United States export control laws and regulations, including those implemented by the Department of Commerce through the Export Administration Regulations (EAR), by the Department of State through the International Traffic in Arms Regulations (ITAR), and by the Treasury Department through the Office of Foreign Assets Control (OFAC) sanctions regulations."


Data Privacy

We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. We ask instead that you create a profile in our talent community where you can upload your CV. Setting up a profile lets us know you are interested in career opportunities with us and makes it easy for us to send you an alert when relevant positions become open.


California Privacy Notice

California residents have the right to receive additional notices about their personal information.

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