Senior Engineer, Digital Measurement Platform & Data Infrastructure

Job Overview

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.

Essential Functions

• 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.

Qualifications

• 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

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

The potential base pay range for this role, when annualized, is €40,200.00 - €60,200.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.