The Role
Lead development, configuration, testing, and deployment of cloud-native Reltio master data management solutions for healthcare. Build REST APIs, event-driven integrations, microservices, workflows, data connectors, and JSON configurations. Apply DevOps, machine learning matching, performance testing, secure data practices, and healthcare compliance requirements. Mentor junior engineers, contribute to architecture reviews, support medical-device data syndication, and provide technical leadership for Agile delivery.
Summary Generated by Built In
Job Description SummaryAs a Senior Software Engineer – Reltio, at GE Healthcare, you will play a pivotal role in implementing the technical direction and core configuration of our cutting-edge enterprise master data and healthcare data platform solutions.Job Description
You will be responsible for developing, configuring, and testing complex, cloud-native master data management (MDM) applications, ensuring scalability, reliability, and performance across various platforms.
Responsibilities:**
- Lead the development, configuration, and implementation of enterprise MDM solutions, translating complex healthcare data requirements into robust code and configuration files using the Reltio Connected Data Platform.
- Define and enforce best practices for API Development, building seamless real-time data integration endpoints, streaming integrations, and ensuring interoperability across downstream and upstream healthcare applications.
- Implement and optimize MDM workflows leveraging Cloud Technology, managing multi-tenant SaaS features while adhering to organizational standards for cost, security, compliance, and performance.
- Provide expert guidance in Computer Programming and Databasing, developing optimized JSON configurations, handling crosswalk mappings, and structuring queries to interact effectively with Reltio's data store.
- Drive the adoption of DevOps principles and practices, utilizing continuous integration, deployment pipelines, and automated tenant configuration migration across environments.
- Support solutions incorporating Edge Computing and Embedded Systems Architecture, building data syndication logic that allows connected medical devices to consume clean master data.
- Contribute to Full Stack Development efforts, ensuring high-quality implementation from frontend data-steward UI layouts (Reltio Console) to backend data pipelines and integration layers.
- Integrate Machine Learning (ML) capabilities into software products, configuring and tuning probabilistic match rules, match tokens, and automated merge criteria.
- Develop and evolve Microservices Architecture, coding modular, resilient data connectors and event-driven message streaming handlers (e.g., Kafka, SQS).
- Ensure adherence to Network Protocols and stringent healthcare security standards (including HIPAA, HITRUST, and secure encryption protocols) across all development pipelines.
- Champion Object-Oriented Programming (OOP) principles, writing clean, maintainable, and extensible codebases for custom data cleaners, validators, and utility services.
- Execute Performance Testing strategies, identifying API bottlenecks, optimizing batch data loading speeds, and tuning match engine runs to meet stringent performance requirements.
- Participate in Software Design Architecture reviews, presenting code and configuration models, while mentoring and guiding junior data engineers on the team.
- Provide technical leadership and oversight in Software Project Management, breaking down architectural requirements into actionable developer tasks and ensuring successful delivery of sprints.
Qualifications:**
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
- 5+ years of progressive experience in software engineering, with at least 2 years of hands-on experience configuring, developing, and deploying on the Reltio MDM platform.
- Proven expertise in API Development, designing RESTful web services, and building event-driven architectures.
- Extensive experience with Cloud Technology (e.g., AWS, Azure, GCP) and cloud-native application stacks.
- Strong proficiency in Java, Python, or similar Object-Oriented programming languages.
- Deep understanding of Databasing technologies, including NoSQL, relational databases, data warehousing concepts, and complex data modeling.
- Solid experience implementing DevOps practices, infrastructure-as-code principles, and CI/CD automation tools.
- Familiarity with Edge Computing and Embedded Systems Architecture principles as they relate to downstream data ingestion.
- Proficiency in Full Stack Development concepts, with strong experience handling JSON-based configurations and managing application UI definitions.
- Experience with Machine Learning (ML) integration, matching algorithms, and data cleansing applications.
- Demonstrated expertise in Microservices Architecture implementation and cloud integration patterns.
- Strong understanding of Network Protocols, data payload serialization, and secure transport standards.
- Mastery of Object-Oriented Programming (OOP) principles.
- Experience with Performance Testing methodologies, load testing tools, and data pipeline profiling.
- Exceptional skills in Software Design Architecture pattern recognition, entity resolution troubleshooting, and crosswalk analysis.
- Proven ability in Software Project Management methodologies (such as Agile or Scrum) and leading technical delivery blocks.
- Excellent communication, leadership, and interpersonal skills to collaborate effectively with architects, data stewards, and business analysts.
Relocation Assistance Provided: Yes
Skills Required
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
- 5+ years of progressive software engineering experience
- At least 2 years of hands-on experience configuring, developing, and deploying on the Reltio MDM platform
- Expertise designing RESTful web services and building event-driven architectures
- Extensive experience with cloud technology and cloud-native application stacks, including AWS, Azure, or GCP
- Strong proficiency in Java, Python, or similar object-oriented programming languages
- Deep understanding of NoSQL, relational databases, data warehousing, and complex data modeling
- Experience implementing DevOps practices, infrastructure-as-code principles, and CI/CD automation tools
- Familiarity with edge computing and embedded systems architecture for downstream data ingestion
- Proficiency in full stack development, JSON-based configurations, and application UI definitions
- Experience integrating machine learning, matching algorithms, and data cleansing applications
- Expertise implementing microservices architecture and cloud integration patterns
- Understanding of network protocols, data payload serialization, and secure transport standards
- Mastery of object-oriented programming principles
- Experience with performance testing methodologies, load testing tools, and data pipeline profiling
- Expertise in software design architecture, entity resolution troubleshooting, and crosswalk analysis
- Experience with Agile or Scrum software project management methodologies and technical delivery leadership
- Excellent communication, leadership, and interpersonal skills
GE Healthcare Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GE Healthcare and has not been reviewed or approved by GE Healthcare.
-
Healthcare Strength — Healthcare coverage is portrayed as comprehensive, including medical, dental, and vision options with HSA-eligible choices and preventive care coverage. Mental health and well-being support programs are also emphasized as part of the overall package.
-
Retirement Support — Retirement support is described as meaningful, with a 401(k) match and additional programs such as student-loan matching in some descriptions. Legacy pension and retiree medical obligations for certain closed groups also signal continued support for long-tenured populations.
-
Strong & Reliable Incentives — Variable and role-linked earning opportunities appear attractive in some job families, including high on-target earnings potential in certain sales roles. Additional role-based perks like company cars and travel-related reimbursements further increase the perceived value of total rewards in those positions.
GE Healthcare Insights
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Every day millions of people feel the impact of our intelligent devices, advanced analytics and artificial intelligence. As a leading global medical technology and digital solutions innovator, GE Healthcare enables clinicians to make faster, more informed decisions through intelligent devices, data analytics, applications and services, supported by its Edison intelligence platform. With over 100 years of healthcare industry experience and around 50,000 employees globally, the company operates at the center of an ecosystem working toward precision health, digitizing healthcare, helping drive productivity and improve outcomes for patients, providers, health systems and researchers around the world. We embrace a culture of respect, transparency, integrity and diversity.
