Staff Data Visualization Engineer

Danaher Corporation

. Design, develop, and maintain enterprise business intelligence applications, dashboards, and analytical solutions supporting critical business processes and decision-making.

Posted 11/3/2026full-timeRemote • PolandLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing enterprise-scale business intelligence applications and data visualization solutions, with a strong focus on performance optimization, data governance, and integration of multiple data sources. Proficient in collaborating with stakeholders to translate business requirements into effective reporting solutions.

Highest-signal resume keywords

Enterprise Business Intelligence DevelopmentDashboard DevelopmentData Visualization Best PracticesQlik Sense Platform ExperienceData Modeling and Warehousing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data VisualizationPerformance OptimizationAnalytical CalculationsDimensional ModelingData Warehousing ConceptsData TransformationsCode ReviewsQuality AssuranceRoot-Cause AnalysisAnalytical Data Structures

Soft Skills

CollaborationStakeholder EngagementProblem-Solving

Tools & Technologies

Qlik CloudQlik AnswersPower BISnowflakeEnterprise Data Services

Industry Keywords

Business IntelligenceSelf-Service AnalyticsGovernance FrameworksAnalytics TransformationBI Modernization

Tech Stack

Tools & technologies

CloudSnowflake

About the role

Key responsibilities & impact

Design, develop, and maintain enterprise business intelligence applications, dashboards, and analytical solutions supporting critical business processes and decision-making.
Optimize application performance, data refresh processes, and data models for responsive user experiences and efficient platform utilization.
Collaborate with business stakeholders, data engineers, analytics teams, and analytics platform teams to translate business requirements into reporting solutions.
Integrate visualization platforms with Snowflake and other enterprise data services.
Apply enterprise visualization standards, governance requirements, and best practices to deliver consistent, usable, accessible, and trusted analytics outputs.
Contribute to migrating business logic and data transformations to governed enterprise data platforms and semantic models.
Perform code reviews, quality assurance, and root-cause analysis to improve solution reliability and reduce production issues.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related technical field.
Demonstrated experience developing enterprise-scale business intelligence and data visualization solutions, including analytical applications supporting large user communities.
Expertise in dashboard development, analytical calculations, performance optimization, and data visualization best practices.
Experience designing and maintaining governed data models, with knowledge of dimensional modeling, data warehousing concepts, and analytical data structures.
Experience integrating multiple enterprise data sources and delivering trusted reporting solutions within governed self-service analytics environments with established standards and governance frameworks.
Experience with Qlik Sense Platform including Qlik Cloud, Qlik Answers or other AI-enabled analytics capabilities.
Experience supporting large-scale BI modernization, migration, or analytics transformation initiatives.
Familiarity with Power BI, semantic modeling, and enterprise analytics governance frameworks.