Senior Data Visualization Engineer (Hybrid - Aguadilla, PR)

RTX•Aguadilla, PR

10d•Hybrid

About The Position

Collins Aerospace is seeking a Data Visualization Engineer to join its Advanced Structures Engineering organization, supporting next-generation aerospace systems. The position designs and delivers visualization and analytics capabilities that enable engineers and leaders to make data-driven decisions, improve design validation and system reliability, and optimize development efficiency. It works closely with engineering, design, and leadership teams and requires a strong technical background and understanding of data modeling, data relationships, and visualization best practices. The role is based in Aguadilla, Puerto Rico, and is hybrid, with three days onsite and two days remote according to the manager's assigned schedule. Candidates must reside in Puerto Rico when employment starts; relocation is not offered. Travel may be up to 10% domestically and internationally, as business needs permit. U.S. citizenship is required to access information under the program/contract; no security clearance is required. The engineer will develop Tableau dashboards and analytic applications, process and analyze engineering and operational datasets, and build scalable visualization solutions aligned with enterprise architecture, digital thread standards, and UX practices. The role integrates varied data sources, establishes data models and KPI frameworks, translates business and engineering questions into analytical solutions, and contributes to Agile delivery. It also includes documentation and presentations, mentoring junior colleagues, and supporting future expansion into Power BI, Power Apps, and application integration.

Requirements

Typically requires a STEM degree and five years of relevant experience, or an advanced degree in a related field and at least three years of experience.
Professional experience using Python and SQL for data analysis or automation.
Hands-on experience with data visualization tools such as Tableau, Power BI, Qlik Sense, or Apache Superset to develop dashboards or analytics products.
Experience with data wrangling, cleaning, and transformation as part of an analytics workflow.
Professional ability to communicate in English, both verbally and in writing.
U.S. citizenship is required to access information under the program/contract.
Must reside in Puerto Rico at the start of employment; relocation is not offered.

Nice To Haves

Bachelor’s degree in Data Science, Computer Science, Mathematics, or a related technical field.
Hands-on experience with Python libraries such as NumPy, Pandas, or PySpark.
Experience designing and developing complex Tableau dashboards for analytical decision-making.
Proficiency in ETL workflows and integrating data from multiple datasets and systems.
Strong SQL experience, including relational data modeling.
Experience working in Agile (Scrum/Kanban) environments.
Knowledge of statistical methods for data validation and exploratory analysis.
Familiarity with ontology-based modeling, semantic data structures, or enterprise data architecture.
Exposure to cloud analytics platforms such as AWS, Azure, GCP, Databricks, or Snowflake.
Experience supporting engineering or technical teams with data-driven insights; transferable domain experience is welcome.

Responsibilities

Design, develop, and maintain Tableau dashboards and analytic applications that provide actionable insights.
Perform end-to-end data processing, including collection, cleaning, quality checks, statistical analysis, and visualization.
Analyze and automate large engineering and operational datasets using Python and SQL in cloud environments such as Databricks, Snowflake, and AWS or Azure.
Build scalable, secure visualization solutions aligned with enterprise data architecture, digital thread standards, and UX best practices.
Integrate diverse sources, including test data, simulations, PLM systems, and operational metrics, into unified analytical views.
Develop data models, KPI frameworks, and visualization standards to support consistent decision-making.
Create and support visualization solutions using knowledge graphs or ontology-based structures.
Translate complex engineering and business questions into defined analytical solutions and compelling data stories.
Work within Agile teams, owning user stories and sprint deliverables.
Prepare technical documentation, presentations, and reports for technical and non-technical stakeholders.
Mentor junior engineers and analysts in visualization, data modeling, and data quality.
Support future expansion into Power BI, Power Apps, and application integration.
Travel up to 10% domestically and internationally, as business needs permit.