
1001 - 5000 employees
Founded 2010
⚕️ Healthcare Insurance
☁️ SaaS
🤝 B2B
Healthcare Insurance • SaaS • B2B
GHX is a leading provider of data management solutions, supply chain consulting, and vendor credentialing services primarily for the healthcare industry. They offer innovative products such as order automation, inventory management, and e-payment solutions that enhance financial agility, compliance, and operational efficiency. GHX serves a diverse clientele including healthcare providers, suppliers, and government agencies, emphasizing evidence-based insights and cloud ERP transformation to optimize resource allocation, reduce costs, and improve patient care. They are deeply integrated into the healthcare supply chain, collaborating with partners to create secure, informed, and cost-effective environments in healthcare facilities.
🕒 March 19
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1001 - 5000 employees
Founded 2010
⚕️ Healthcare Insurance
☁️ SaaS
🤝 B2B
Healthcare Insurance • SaaS • B2B
GHX is a leading provider of data management solutions, supply chain consulting, and vendor credentialing services primarily for the healthcare industry. They offer innovative products such as order automation, inventory management, and e-payment solutions that enhance financial agility, compliance, and operational efficiency. GHX serves a diverse clientele including healthcare providers, suppliers, and government agencies, emphasizing evidence-based insights and cloud ERP transformation to optimize resource allocation, reduce costs, and improve patient care. They are deeply integrated into the healthcare supply chain, collaborating with partners to create secure, informed, and cost-effective environments in healthcare facilities.
• Work directly with application teams on data architecture for their applications and services • Design and review data architectures and models, aligning data ownership with team domain boundaries • Review application code and architecture with focus on data access patterns and performance • Evaluate and recommend data storage technologies (MongoDB, PostgreSQL, NoSQL, document stores, warehouses) • Optimize database performance: query tuning, indexing, execution plan analysis, resource management • Guide technology selection based on read/write patterns, data volumes, and access patterns • Define data access patterns: APIs, ORMs, event-driven architectures, replication strategies • Establish data replication and syndication strategies (CDC, event streaming, batch processing) • Guide data architecture for ML/LLM applications (vector databases, embeddings, RAG patterns) • Lead zero-downtime data migrations and infrastructure modernization • Hands-on troubleshooting and optimization of critical data systems • Establish data quality, monitoring, and observability standards • Lead knowledge sharing through workshops, documentation, and office hours
• 10+ years building software applications with heavy focus on data systems • Strong application development background (full-stack, backend, or data-intensive applications) • Deep expertise in NoSQL (MongoDB, DynamoDB, DocumentDB) and relational databases (PostgreSQL, SQL Server) • Proven experience optimizing database performance at scale (query tuning, indexing, resource management) • Strong data modeling and schema design skills • Understanding of application architecture, API design, and software development practices • Deep experience with cloud data platforms (AWS, Azure, or GCP) including cost optimization • Experience with AI/LLM-assisted development tools and agentic software engineering practices • Track record of establishing data standards across engineering organizations • Excellent communication skills - able to influence and educate engineers at all levels.
• health, vision, and dental insurance • accident and life insurance • 401k matching • paid-time off • education reimbursement
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