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

Bring more to life.

Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?

At Pall Corporation, one of Danaher’s 15+ operating companies, our work saves lives—and we’re all united by a shared commitment to innovate for tangible impact. 

You’ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher’s system of continuous improvement, you help turn ideas into impact – innovating at the speed of life.

As a global leader in high-tech filtration, separation, and purification, Pall Corporation thrives on helping our customers solve their toughest challenges. Our products serve diverse, global customer needs across a wide range of applications to advance health, safety and environmentally responsible technologies. From airplane engines to hydraulic systems, scotch to smartphones, OLED screens to paper—everyday Pall is there, helping protect critical operating assets, improve product quality, minimize emissions and waste, and safeguard health. For the exponentially curious, Pall is a place where you can thrive and amplify your impact on the world. Find what drives you on a team with a more than 75-year history of discovery, determination, and innovation.

Learn about the Danaher Business System which makes everything possible.

The Engineer – Data Analytics and Applications role is responsible for developing and supporting secure software applications, data workflows, and analytics. This role will initially assist with API and UI development of existing tools. Over time, the role will expand into dashboarding, ETL/data engineering, and data science/ML/AI enablement to turn connected product and operational data into actionable insights.

This position reports to the Pall Computational Team Manager and is part of the R&D department.  This role will be located in Pune, India and will be an on-site role, coordinating primarily with teams in the US and some groups in Europe and Japan.

In this role, you will have the opportunity to:

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. The essential requirements of the job include: 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

It would be a plus if you also possess previous experience in: Connected product, IoT, or secure cloud-based software applications. Developing dashboards, reports, analytics workflows, or data visualization solutions. Data science, machine learning, AI, or generative AI enablement, including dataset preparation, model integration, or applied analytics. ETL, data engineering, or data preparation workflows involving structured, unstructured, connected product, operational, or engineering data. Pall Corporation, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it’s a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info . Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.

For more information, visit www.danaher.com .