Data Analytics Engineer (Puerto Rico)

RTX
United States
Workplace: RemoteFull timeFunction: Data Analytics & Business IntelligenceExperience: 8+ yearsEducation: bachelorsSkills: ["Problem-solving","Critical thinking","Communication","Stakeholder-management","Cross-functional collaboration"]

Build and maintain reliable, scalable data pipelines, data models, and curated datasets that enable analytics, reporting, decision-making, and AI/ML use cases. Integrate and transform enterprise data from diverse sources, ensuring data quality, governance, monitoring, and trusted reuse. Partner with stakeholders to translate requirements into practical data products, while independently leading projects from design through implementation and continuous improvement.

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FursaFursa
RTX
RTX
1 week ago

Data Analytics Engineer (Puerto Rico)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Build and maintain reliable, scalable data pipelines, data models, and curated datasets that enable analytics, reporting, decision-making, and AI/ML use cases. Integrate and transform enterprise data from diverse sources, ensuring data quality, governance, monitoring, and trusted reuse. Partner with stakeholders to translate requirements into practical data products, while independently leading projects from design through implementation and continuous improvement.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Design, build, and maintain reliable, scalable data pipelines, data models, and curated datasets for analytics, reporting, decision-making, and AI/ML applications.
  • •Integrate, transform, standardize, and validate data from diverse sources, including enterprise applications, spreadsheets, databases, text files, APIs, and operational data sources.
  • •Develop data visualizations, statistical analysis, reporting, and analytical solutions to improve understanding of enterprise and infrastructure data.
  • •Establish and improve data quality, validation, monitoring, governance, documentation, and data management practices to ensure trusted and reusable data.
  • •Work with customers and stakeholders to translate requirements into data and analytical solutions; lead projects from requirements and design through implementation and continuous improvement.
Travel: Low travel

Pay and Benefits

Perks:Parental LeaveRetirement

Key Requirements

  • •A university degree (or equivalent experience) with minimum 8 years relevant experience, or an advanced degree with minimum 5 years experience.
  • •5+ years working in data engineering, data analytics, business intelligence, or a related technical discipline.
  • •Hands-on experience with Python and SQL, including PySpark or comparable distributed data-processing technologies.
  • •Demonstrated experience designing and developing production-quality data pipelines, data models, and ETL/ELT and data integration solutions.
  • •Experience with data quality, data governance, data warehousing, data modeling, and modern cloud data architectures.
Experience:8+ years
Education:Bachelor's
Skills:Problem-solvingCritical thinkingCommunicationStakeholder-managementCross-functional collaboration
Languages:English
Tech Stack:PythonSQLPySparkETL/ELTAzureDatabricksSnowflakeDelta LakePower BIServiceNow/ITSM dataGitCI/CDAI/MLMachine learning

Eligibility

Nationality:US National

Company Brief

RTX
Designs, manufactures, and services aerospace and defense systems, including aircraft engines, avionics, aerostructures, missiles, and cybersecurity solutions for commercial, military, and government customers worldwide.
Industry: Aerospace Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Arlington, United States
Founded: 2020
Website