Staff Software Developer Engineer

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. The company focuses on accelerating the development and commercialization of innovative medical treatments to improve patient outcomes and population health worldwide.

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field, or equivalent experience.
• Substantial experience in software development, systems analysis, data engineering, or cloud engineering.
• Strong experience designing and developing enterprise-scale applications and data platforms.
• Proven experience leading complex technical initiatives and influencing engineering direction.
• Strong programming skills in Python, Scala, and SQL.
• Experience with Apache Spark, Databricks, Azure Data Lake Storage (ADLS), and modern data lake architectures.
• Hands-on experience with Microsoft Azure and cloud-native application development.
• Experience with Git, GitLab CI, Azure Pipelines, Maven, and CI/CD best practices.
• Strong knowledge of Apache Airflow for orchestration and scheduling.
• Experience with Terraform and infrastructure-as-code practices.
• Hands-on experience with Docker and containerized environments.
• Strong understanding of relational databases, particularly MS SQL Server and MySQL.
• Experience working in Agile delivery environments using Scrum and Kanban.
• Familiarity with JIRA and Confluence for requirements and project management.

Nice to have:

• Experience with Kafka, Databricks Workflows, Bash scripting, and ELK Stack technologies (Elasticsearch, Logstash, Kibana, Filebeat).
• Experience with AWS, GCP, or multi-cloud environments.
• Knowledge of Spark monitoring, Prometheus, Grafana, or Azure Monitor.
• Experience with PostgreSQL, Oracle, Hive, HDFS, or Impala.
• Azure Data Engineer, Azure Developer, Azure DevOps, or related cloud certifications.
• Familiarity with AI Agent IDE tools (e.g. Cursor) for AI-assisted development workflows.

• Design, develop, and support complex software applications, data pipelines, and cloud-based solutions.
• Work across the full technology stack, including backend services, APIs, databases, data platforms, and cloud infrastructure.
• Lead technical design and implementation efforts for large-scale, business-critical initiatives.
• Develop and optimize ETL processes and large-scale data processing solutions using modern Big Data technologies.
• Implement CI/CD pipelines, infrastructure automation, and DevOps best practices.
• Drive software quality through code reviews, testing standards, and engineering best practices.
• Evaluate emerging technologies and industry trends and recommend improvements.
• Mentor engineers and provide technical guidance across teams.
• Collaborate with Product, Architecture, Infrastructure, and Business stakeholders to deliver scalable and secure solutions.

IQVIA maintains a zero tolerance policy for candidate fraud. All application information must be truthful and complete; false statements or omissions may result in disqualification or termination as per applicable law.