Data Engineer, AVS Digital Transformation (AI & Analytics)
Waukesha, WI - USA
Job Summary
Job Description Summary
The GEHC Advanced Visualization Solutions (AVS) segment a fast-growing business in GE HealthCare is the global leader in ultrasound medical devices and solutions. The portfolio spans the continuum of care to enable customers with ultrasound screening diagnosis treatment and monitoring of diseases. Our customers are seeking to improve efficiency in radiology and beyond and increase user confidence to provide better clinical outcomes continues to grow. Consequently the need for AI digital solutions and automation connecting devices and software in one seamless ecosystem continues to proliferate.This person will design and build comprehensive data solutions that will power GE Healthcares AVS segments next generation of analytics and this hands-on role you will design and build curated semantic layers scalable pipelines and enterprise-grade sematic models whilst layering in AI-powered capabilities using approved platforms as the foundation matures.
**No sponsorship or OPT for this role**
Job Description
As the Data Engineer of the AVS Digital Transformation team youll bridge enterprise data strategy with segment-specific innovation to deliver self-service analytics conversational AI predictive insights and intelligent automation within AVS.
1. Build an AI-Ready Data Foundation (40%)
- Design and implementcurated semantic data layers(dimensional models business definitions) ensuring accuracy traceability andAI/ML readinessfor BI and generative AI use cases.
- Designscalable SQL-based pipelines to transform raw and enterprise data into analytics-ready assets
- Implementdata quality frameworks lineage and governance according to standards set by the central data office team.
2. Elevate Analytics & Self-Service (35%)
- Leadenterprise-grade Power BI semantic model design (Dataflows composite models aggregations) to enable low-latency high-performance reporting for executives and analysts.
- Integrate and extend enterprise semantic models with AVS-specific business logic and conformed dimensions aligning definitions across the segment.
- Define best practices for DAX M and workspace governance (deployment pipelines refresh strategies) within team to advance BI maturity and self-service
- Partner with visualization analysts and business leaders to translate requirements into trusted performant models and reusable domain data products.
3. Drive AI & Advanced Analytics Adoption (25%)
- Design AI-ready semantic layers and metadata that enable natural-language querying conversational analytics automated retrieval and intelligent workflows
- Build and deploy AI solutions using enterprise-approved platforms. Implement operational forecasting anomaly detection and segmentation.
- Engage central AI/ IT for evaluation architecture guidance and enterprise deployment of AI use cases that exceed approved platform capabilities
Required Qualifications
- 8 years in data architecture/engineering delivering dimensional models curated marts and production pipelines in cloud environments (e.g. AWS Redshift/S3/Glue Microsoft Fabric/Azure ADF or equivalent).
- Mastery of SQL DAX and Power Query (M); strong performance tuning and model optimization at scale.
- Deep Power BI experience: semantic modeling composite models aggregations dataflows and Fabric integration.
- Handson with Copilot Studio Fabric Data Agents or AWS Bedrock.
- Familiarity with Power Apps / Power Automate for endtoend digital workflows.
Preferred
- Microsoft certifications: DP600 (Fabric Analytics Engineer) DP-700 (Fabric Data Engineer) PL300 (Power BI Data Analyst) AZ-900 (Azure AI) PL-400 (Power Platform Developer Associate)
- AI/ML integration: Python for data prep/modeling; designing data/semantics for NLQ agentic systems and platforms such as AWS Bedrock or Fabric ML.
- Experience partnering with centralized AI and data teams to produce models and agentic solutions.
- ERP/CRM data integration (e.g. Oracle EBS Salesforce) and familiarity with enterprise data governance.
Additional Information
GE HealthCare offers a great work environment professional development challenging careers and competitive compensation. GE HealthCare is anEqual Opportunity Employer. Employment decisions are made without regard to race color religion national or ethnic origin sex sexual orientation gender identity or expression age disability protected veteran status or other characteristics protected by law.
GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19 some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.
Relocation Assistance Provided: No
Required Experience:
IC
Key Skills
About Company
GE HealthCare provides digital infrastructure, data analytics & decision support tools helps in diagnosis, treatment and monitoring of patients