RTX

Senior Data Visualization Engineer, Digital Solutions

RTX

full-time

Posted on:

Location Type: Hybrid

Location: Aguadilla • United States

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Job Level

Senior

Tech Stack

AWSAzureCloudGoogle Cloud PlatformNeo4jNumpyPandasPythonSQLTableau

About the role

  • 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, NumPy) 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.

Requirements

  • Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM)
  • 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 PowerBI and Power Apps.
  • Advanced skills in Python (Pandas, NumPy, 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 such as AWS, Azure, or GCP.
  • Exposure to knowledge graph tools (Anzo, Neo4j, etc).
Benefits
  • Medical, dental, and vision insurance
  • Three weeks of vacation for newly hired employees
  • Generous 401(k) plan that includes employer matching funds
  • Participation in the Employee Scholar Program (ESP)
  • Life insurance and disability coverage
  • Employee Assistance Plan, including up to 8 free counseling sessions.
  • And more!
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
TableauPythonPandasNumPySQLdata visualizationdata modelingperformance tuningknowledge graphsontologies
Soft Skills
communicationmentoringcollaborationproblem-solvingleadership