Hybrid Data Engineer, AVS Digital Transformation – AI & Analytics

at GE HealthCare

• Job title: Data Engineer, AVS Digital Transformation – AI & Analytics
• Job type: Full Time
• Experience level: Senior, Lead
• Salary: $138,000 - $207,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Amazon Redshift, AWS, Azure, Cloud, ERP, Oracle, Python, SQL
• Location requirements: Hybrid, United States

About the role

• Data Engineer for GE HealthCare's AVS segment designing AI-powered data solutions and analytics. Collaborating on enterprise data strategy and driving automation within AVS.

Responsibilities

• Build an AI-Ready Data Foundation (40%) Design and implement curated, semantic data layers (dimensional models, business definitions), ensuring accuracy, traceability, and AI/ML readiness for BI and generative AI use cases
• Design scalable SQL-based pipelines to transform raw and enterprise data into analytics-ready assets
• Implement data quality frameworks, lineage, and governance, according to standards set by the central data office team
• Elevate Analytics & Self-Service (35%) Lead enterprise-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
• 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

Requirements

• 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
• Hands‑on with Copilot Studio, Fabric Data Agents, or AWS Bedrock
• Familiarity with Power Apps / Power Automate for end‑to‑end digital workflows
• Preferred Microsoft certifications: DP‑600 (Fabric Analytics Engineer), DP-700 (Fabric Data Engineer), PL‑300 (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

Benefits

• medical
• dental
• vision
• paid time off
• a 401(k) plan with employee and company contribution opportunities
• life insurance
• disability insurance
• accident insurance
• tuition reimbursement