Senior Data Visualization Engineer, Digital Solutions; Hybrid-Puerto Rico

Date Posted:

Country:
United States of America

Location:

HPR
01:
Collins Puerto Rico
- Aguadilla Road 110 North Km 28.8 San Antonio Industrial Park, Aguadilla, PR, 00603 USA

Position Role Type:
Hybrid

U.S. Citizen, U.S. Person, or Immigration Status Requirements: U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Security Clearance:
None/Not Required

Collins Aerospace is looking to hire a motivated Data Visualization Engineer, experienced in business intelligence and data visualization, to join our Core Engineering organization supporting next-generation aerospace systems. This role will play a critical part in designing and delivering advanced visualization and analytics capabilities that empower engineers and leaders to make data-driven decisions. The ideal candidate will combine a strong technical background and strong understanding of data modeling, data relationships and visualization best practices.

The position involves working closely with cross-functional teams, including engineering, design, and leadership, to create impactful visualizations that improve design validation, enhance system reliability, and optimize development efficiency while supporting strategic initiatives and decision-making processes.

This position will sit at our Aguadilla, PR location. You must be residing in Puerto Rico at the time of starting employment. Relocation is not offered.

This role is categorized as hybrid
, with 3 days onsite and 2 days remote following the schedule assigned by the Manager.

• Design, develop, and maintain advanced Tableau dashboards and analytical tools to support engineering teams.
• Analyze, automate, and process engineering and test datasets using Python (Pandas, Num Py) and SQL.
• Build scalable, secure visualization solutions aligned with engineering data architecture and digital thread standards.
• Integrate diverse data sources (e.g., flight test data, simulation outputs, PLM data, operational metrics) into unified analytical views.
• Create knowledge graph and ontology-based visualizations to represent system relationships and dependencies.
• Define and implement best practices for data integration, visualization design, and performance optimization.
• Partner with engineers to translate technical questions into actionable insights.
• Mentor engineers and analysts on visualization tools, data modeling, and data quality.
• Participate in Agile sprints, owning user stories, backlog items, and deliverables.
• Travel up to 10% domestically and internationally when circumstances permit.

• You will learn about our growing engineering team in Puerto Rico;
  What we do? Who we support? How we work?
• You will learn the technologies of today and tomorrow which we count on to maintain world leadership in the aerospace industry.
• You will learn why people enjoy and feel fulfilled by working in our industry.

• Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 5 years prior relevant experience or an Advanced Degree in a related field and minimum 3 years of experience.
• Demonstrated professional experience communicating in English (verbal and written).
• U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

• Experience in data visualization, analytics, or software development.
• Experience in a lead developer or solution architect capacity.
• Proven track record of supporting engineering programs or technical teams with data-driven solutions.
• Proficiency in Tableau (dashboard development, data modeling, performance tuning).
• Experience with Power
  
  BI and Power Apps
• Advanced skills in Python (Pandas, Num Py, Matplotlib) for data analysis and automation.
• Knowledge of SQL and experience integrating engineering data sources.
• Hands-on experience with knowledge graphs, ontologies, or semantic data models.
• Familiarity with Agile/Scrum practices.
• Familiarity with digital engineering practices, including MBSE (Model-Based Systems Engineering) or digital thread workflows.
• Exposure to cloud data platforms…