Data Analytics Engineer (Puerto Rico)

Collins Aerospace, a leading aerospace and defense company, is seeking a Data Analytics Engineer to join their RTX Enterprise Services team. The role involves developing scalable data and analytics solutions to enhance business performance and decision-making through data integration, transformation, and analytical methods.

Responsibilities:

• Design, build, and maintain reliable, scalable data pipelines, data models, and curated datasets supporting analytics, reporting, decision-making, and AI/ML applications
• Integrate, transform, standardize, and validate data from diverse and non-standard sources, including enterprise applications, spreadsheets, databases, text files, APIs, and operational data sources
• Develop and maintain data visualization, statistical analysis, reporting, and analytical solutions that 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 directly with customers and stakeholders to understand business and operational needs, identify opportunities for improvement, and translate requirements into practical data and analytical solutions
• Independently lead projects using appropriate software development and agile practices, from requirements and solution design through development, testing, implementation, and continuous improvement
• Develop and maintain technical and business documentation, including requirements, data definitions, process flows, use cases, user stories, technical designs, and operational procedures
• Provide data engineering and analytical support for AI/ML initiatives, including data preparation, feature development, dataset creation, experimentation support, evaluation, and integration of AI/ML outputs into operational solutions
• Collaborate with cross-functional teams across IT and operations while providing technical guidance, peer review, and mentoring to other members of the Data & Insights team
• Apply information security, information assurance, governance, privacy, and compliance requirements to all data, analytics, and AI/ML-related activities

Requirements:

• A University Degree or equivalent experience and minimum 8 years prior relevant experience, or an Advanced Degree in a related field and minimum 5 years experience
• 5+ years of experience working in data engineering, data analytics, business intelligence, or a related technical discipline
• Experience working with Python and SQL, with hands-on experience using PySpark or comparable distributed data-processing technologies
• Demonstrated experience designing and developing production-quality data pipelines, data models, ETL/ELT processes, and data integration solutions
• Experience with data quality, data governance, data warehousing, data modeling, and modern cloud data architectures
• Experience analyzing complex datasets, developing meaningful metrics and visualizations, and translating findings into actionable insights and recommendations
• Experience independently owning technical projects and delivering solutions with limited day-to-day direction, including the ability to work through ambiguous or complex problems
• Experience preparing, structuring, and curating data to support machine learning, AI/ML, advanced analytics, or other data science applications
• Experience with technologies such as Azure, Databricks, Snowflake, Delta Lake, Power BI, ServiceNow/ITSM data, Git/CI/CD, or machine learning platforms
• Strong problem-solving, communication, technical documentation, stakeholder-management, and cross-functional collaboration skills