Top Software Engineer Jobs

As a Solution Engineer, you will design, develop, and maintain curated data sources in Tableau for self-service reporting. You will collaborate with data architects, implement ETL processes, perform data quality assessments, and troubleshoot data pipelines, ensuring data integrity and performance.

As a Manager, you will lead the development and implementation of scalable AI solutions, including robust data pipelines and reusable components. You'll collaborate with various teams to enhance data science workflows and integrate these solutions into production, ensuring high-quality data products for AI applications.

The Senior Associate, Data Management is responsible for leading data management activities in clinical trials, ensuring the integrity and quality of clinical data. Responsibilities include developing data management deliverables, managing queries, coaching junior staff, and collaborating with clinical data scientists for operational excellence.

The Manager - Data Engineering is responsible for leading and delivering data and analytic platforms. This involves technical design, data architecture, modeling, and collaboration across multiple business units for efficient and innovative data solutions that support Pfizer's digital transformation and growth.

As a Solution Engineer, you'll design and maintain curated data sources in Tableau, implement ETL processes, optimize data pipelines, and provide ongoing support as a Subject Matter Expert. Your role will involve collaborating with stakeholders and ensuring data integrity for self-service reporting.

Lead the development of frontend applications focusing on AI use cases, guiding a global team and collaborating with cross-functional stakeholders. You'll ensure technical requirements align with business goals, mentor junior developers, and create responsive web interfaces using HTML, CSS, and JavaScript frameworks like Angular and React.

The Solution Engineer will design, develop, and maintain curated data sources in Tableau to support self-service reporting and analytics. Responsibilities include implementing ETL processes, monitoring data pipelines, ensuring data quality, and collaborating with product owners to prioritize features and manage technical requirements for the Specialty business unit.