Engineer – Data Analytics and Applications (Python, JavaScript/TypeScript, SQL)

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Skills you'll use

What you'll do

• Support the development, testing, and improvement of secure IoT software applications, including API, UI, backend, and workflow functionality. Help prepare connected product software for penetration testing by supporting issue resolution, security documentation, validation, and application readiness activities. Develop dashboards, reports, and analytics workflows that turn connected product, operational, and engineering data into actionable insights. Build and support data workflows that improve access to structured and unstructured data across applications, analytics, and reporting use cases. Enable future data science, machine learning, and AI capabilities by preparing datasets, supporting model development and integration, and helping teams apply advanced analytics to real-world business and engineering problems. Inherit, understand, and improve a legacy codebase by supporting ongoing maintenance, troubleshooting, refactoring, documentation, and modernization efforts while ensuring continuity of existing application functionality.

Who can apply

• Bachelor’s degree in Computer Science, Data Science, Software Engineering, or a related field. 3+ years of experience developing or supporting software applications, APIs, user interfaces, data workflows, or analytics tools. Proficiency with Python and/or JavaScript/TypeScript Familiarity with SQL, data visualization, and application environments hosted or deployed on AWS. Strong communication skills, with fluency in English.
• Travel, Motor Vehicle Record & Physical/Environment Requirements: N/A

About Danaher

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