• The candidate will be responsible for the configuration and delivery of client-facing applications. • The candidate may assist with support for the development of process enhancements under the guidance of the Sr. Software Engineer and the Manager, Technical Operations. • Responsibilities will also include day-to-day maintenance of the health care application systems in operation, including tasks related to identifying and troubleshooting application issues and issues resolution or escalation, root cause analysis, manage communication and client relationship management in partnership with Infrastructure Service Support team members. • Prepare, transform, and structure client‑specific data exactly as per requirements gathered by Engagement and Product teams, while adhering to Medical, Legal, and Regulatory (MLR) guidelines. • Design, generate, and maintain baseline and customised messaging datasets (categories, key messages, content, footnotes, metadata) used across IVA client demos, frameworks, and productions. • Process and integrate data received from multiple third‑party vendors per client, applying business logic and transformation rules to produce client‑ready datasets. • Represent the Data Operations / Data Engineering function on all active client and product initiatives. • Participate in daily data operations and development stand‑up meetings to review data readiness, defects, transformations, and deployments. • Follow established change‑management procedures for data updates, transformations, and environment promotions. • Document and maintain data pipelines, transformation logic, and data standard operating procedures (SOPs). • Create and maintain WIKI articles for reusable data processes, transformation patterns, and troubleshooting guides. • Coordinate with Application Development, Product, and Front‑End teams to ensure data structures, tags (BR, span, classes), and attributes are optimized for UI rendering and configurability. • Support and execute data deployments across multiple environments (Development, UAT, Production) using Octopus Deploy and controlled release processes. • Manage and validate data flows from Goliath servers to Core servers and ultimately into Salesforce via stored procedures and Boomi ETL workflows. • Set up and maintain data configurations for new client implementations, including environment‑specific data variations and vendor inputs. • Assist in developing and maintaining automated data validation checks and regression test datasets to support future testing efforts. • Measure and track data‑related KPIs such as data quality metrics, transformation accuracy, defect leakage, re‑processing rates, and turnaround times. • Work closely with Product and Platform teams to support new data‑driven features, enhancements, and messaging capabilities. • Ensure all data changes align with defined lifecycle methodologies, auditability requirements, and risk guidelines. • Actively collaborate with end users, internal stakeholders, front‑end developers, external vendors, data analysts, and Engagement teams to resolve data issues and drive continuous improvement. • Contribute to the evolution of scalable, reusable data models and messaging frameworks across products.

• Responsible for the configuration and delivery of client-facing applications. • Assist with support for the development of process enhancements under the guidance of the Sr. Software Engineer and the Manager, Technical Operations. • Day-to-day maintenance of the health care application systems in operation. • Identify and troubleshoot application issues and issues resolution or escalation. • Manage communication and client relationship management in partnership with Infrastructure Service Support team members. • Prepare, transform, and structure client‑specific data according to requirements gathered by Engagement and Product teams. • Design, generate, and maintain baseline and customised messaging datasets used across IVA client demos, frameworks, and productions. • Process and integrate data received from multiple third‑party vendors per client. • Apply business logic and transformation rules to produce client‑ready datasets. • Represent the Data Operations / Data Engineering function on all active client and product initiatives. • Participate in daily data operations and development stand‑up meetings to review data readiness, defects, transformations, and deployments. • Follow established change‑management procedures for data updates, transformations, and environment promotions. • Document and maintain data pipelines, transformation logic, and data standard operating procedures (SOPs). • Create and maintain WIKI articles for reusable data processes, transformation patterns, and troubleshooting guides. • Coordinate with Application Development, Product, and Front‑End teams to ensure data structures are optimized for UI rendering and configurability. • Support and execute data deployments across multiple environments (Development, UAT, Production) using Octopus Deploy and controlled release processes. • Manage and validate data flows from Goliath servers to Core servers and into Salesforce via stored procedures and Boomi ETL workflows. • Set up and maintain data configurations for new client implementations, including environment‑specific data variations and vendor inputs. • Assist in developing and maintaining automated data validation checks and regression test datasets.

• Scope, design, and build scalable, resilient distributed systems. • Utilize programming languages like Python, SQL, and NoSQL databases, along with Apache Spark for data processing, dbt for data transformation, container orchestration services such as Docker and Kubernetes, and various Azure tools and services. • Use your technical expertise to shape product definitions and drive towards optimal solutions. • Engage in cross-functional collaboration throughout the entire development lifecycle. • Lead in design sessions and code reviews with peers to elevate the quality of engineering across the organization. • Define, create, and support reusable data components and patterns that align with both business and technology requirements. • Build a world-class analytics platform to satisfy reporting needs. • Mentor other engineers. • Consistently share best practices and improve processes within and across teams.

• Design, develop, and maintain scalable web applications across the full stack (front-end, back-end, databases, and APIs). • Collaborate with product managers, designers, and other engineers to translate requirements into technical solutions. • Build responsive, user-friendly interfaces using modern front-end frameworks (e.g., React, Angular, Vue). • Develop robust server-side logic, RESTful APIs, and microservices using languages such as Node.js, Python, Java, or .NET. • Create and optimize database schemas, queries, and data models (SQL and/or NoSQL). • Implement secure authentication, authorization, and data protection best practices. • Write clean, maintainable, and well-documented code following industry standards. • Conduct code reviews, troubleshoot issues, and optimize application performance. • Integrate third-party APIs, cloud services, and internal systems. • Participate in Agile/Scrum ceremonies and contribute to continuous improvement. • Deploy, monitor, and maintain applications using CI/CD pipelines and cloud platforms (AWS, Azure, GCP). • Ensure cross-browser compatibility, accessibility, and high-quality user experiences. • Stay current with emerging technologies and recommend improvements to the tech stack.