Revvity | About Us
Revvity is a developer and provider of end-to-end solutions designed to help scientists, researchers, and clinicians solve the world’s greatest health challenges. We pair the enthusiasm of an industry disruptor with the experience of a longtime leader. Our team of 11,000+ colleagues from around the globe are vital to our success and the reason we’re able to push boundaries in pursuit of better human health.
Find your future at Revvity.
What's in it for You
• Experience personalized career journeys with growth-oriented development opportunities.
• Engage in purpose-driven work that makes a positive impact on society.
• Be part of a values-driven culture that fosters inclusivity and innovation.
• Placeholder for local benefits
Your Superpowers in Action
• Design and maintain complex data structures and integrations between financial systems and SFDC, ensuring data accuracy, consistency, and accessibility.
• Develop and implement AI-powered automation solutions and intelligent agents to streamline business processes and enhance data management capabilities.
• Create and maintain APIs, middleware connections, and custom development solutions to support seamless data flow across enterprise systems.
• Analyze system performance metrics and implement continuous improvements to optimize data processing and management workflows.
• Collaborate with IT and business stakeholders to translate technical requirements into functional solutions that support digital transformation initiatives.
Basic qualifications
• Bachelor's degree in Computer Science, Information Systems, Data Science, or related field.
• 3+ years of experience in data management, system integration, or software development.
• Demonstrated proficiency with Salesforce CRM configuration, customization, and data management.
• Experience implementing or supporting AI and automation technologies in business applications.
• Knowledge of API development, integration patterns, and middleware solutions.
Preferred qualifications
• Experience with financial systems and understanding of financial data structures and relationships.
• Familiarity with machine learning models, intelligent agents, or cognitive services implementation.
• Background in process optimization and workflow automation using modern development tools.
• Experience with agile methodologies and collaborative development environments.
• Knowledge of data governance principles and best practices for maintaining data integrity.
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