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# Senior Engineer, Digital Measurement Platform & Data Infrastructure

- **Company:** IQVIA
- **Location:** Athens, GA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Testing (Software), Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Algorithm Design, Data Analysis, C++ (Programming Language), Cloud Engineering, Software Quality, Code Review, Information Systems, Computer Programming, Computer Engineering, Data Infrastructure, Distributed Systems, Python (Programming Language), Machine Learning, Performance Tuning, AI-enabled Products, Software Engineering, Workflow Management Systems, Software Organization, Data Processing, Cloud Platform System, Data Ingestion, Backend, Kubernetes, Information Technology, Api Design, Data Pipelines
- **Published:** October 7, 2026
- **Apply:** https://www.healthjobsnationwide.com/node/15564684/apply-external

## About the Role

* Bachelor's Degree or Master's Degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, Artificial Intelligence, or related field

 * 8+ years' experience designing, building, and supporting production-grade backend systems, distributed applications, data pipelines, and machine learning deployment environments

 * Experience building APIs, backend services, workflow orchestration systems, and scalable data processing applications

 * Programming experience using Python, Java, C++, or equivalent

 * Experience deploying and supporting machine learning, data processing, and analytics workloads in production environments

 * Experience working with cloud-native architectures, Kubernetes-based environments, CI/CD pipelines, and modern software development practices

 * Experience working with large-scale production systems, cloud environments, and real-world datasets

 * Experience with software testing, monitoring, observability, performance optimization, and engineering best practices

 * Experience collaborating across engineering, data science, product, and architecture teams

## Description

Develop fit for purpose backend platforms, data pipelines, orchestration frameworks, and machine learning deployment capabilities that enable digital measurement and AI-driven products. Design, build, test, deploy, and support production-grade systems responsible for data ingestion, feature processing, algorithm execution, model deployment, and scalable delivery of AI/ML capabilities. Test for viability in order to deliver reliable, scalable, and production-ready solutions. Able to bring newly developed technologies and engineering concepts into reality quickly and on a large scale., * Designs and develops backend services, APIs, data pipelines, and orchestration frameworks supporting digital measurement and AI-enabled products.

 * Implements production-grade systems for data ingestion, feature processing, algorithm execution, model deployment, and machine learning workflow automation.

 * Collaborates with software engineers, data engineers, machine learning engineers, and architects to translate advanced algorithms into scalable production systems.

 * Builds and supports backend platforms and automation systems capable of processing complex, high-dimensional data and supporting machine learning workloads at scale.

 * Uses a variety of techniques in order to improve the performance, scalability, reliability, and efficiency of backend systems, data pipelines, and machine learning production workflows.

 * Guides the testing and validation of services, pipelines, and deployment capabilities to ensure production readiness and operational reliability.

 * Contributes to engineering standards, software quality, code reviews, and platform best practices.

 * Provides technical leadership and mentorship to engineering team members while contributing as a hands-on individual contributor.