<p>Robert Half is partnering with a leading global digital commerce organization seeking a Director of Software Development to lead multiple engineering teams supporting mission-critical customer-facing applications. This position will play a key role in modernization efforts, engineering leadership, organizational development, and technology strategy. The Director will mentor development managers, oversee multiple engineering functions, and partner with executive leadership to deliver scalable software solutions within a fast-growing digital environment.</p>
We are looking for a Data Engineer to join a mission-driven team, where you will design and support the data foundation behind clinical reporting, advanced analytics, and predictive healthcare solutions. This contract position offers the opportunity to build dependable, scalable data workflows that deliver information from healthcare platforms and other source systems to clinicians and business teams. The role is highly hands-on and centers on transforming complex healthcare data into trusted, well-structured assets that support operational and clinical decision-making.<br><br>Responsibilities:<br>• Design, develop, and maintain robust data pipelines that move information from healthcare platforms and related source systems into analytics and reporting environments.<br>• Prepare, standardize, and validate data from claims, clinical records, and social determinants of health sources to ensure accuracy and usability.<br>• Apply sound data modeling practices to organize information for warehousing, business intelligence, and advanced analytical use cases.<br>• Build scalable processing solutions using tools such as Python, Apache Spark, Hadoop, and Kafka to support high-volume data operations.<br>• Partner with analytics, clinical, and business stakeholders to deliver reliable datasets that power descriptive, predictive, and prescriptive insights.<br>• Monitor pipeline performance, troubleshoot data issues, and improve the reliability and efficiency of end-to-end ETL processes.<br>• Support the full lifecycle of data initiatives, from source integration and transformation through delivery for reporting and analytical applications.