Data Analytics Engineer

Collins Aerospace, within RTX Enterprise Services/Data & Insights, is looking for a Data Analytics Engineer to build reliable, scalable data pipelines and analytics solutions that improve business performance and support AI/ML initiatives. This remote role focuses on turning stakeholder needs into practical data products, with strong emphasis on data quality, governance, and compliance.

What you’ll build and improve

• Reliable, scalable data foundations by designing, building, and maintaining data pipelines, data models, and curated datasets for analytics, reporting, decision-making, and AI/ML use cases.
• Trusted data from complex sources through integration, transformation, standardization, and validation of data from enterprise applications, spreadsheets, databases, text files, APIs, and operational systems.
• Analytics that drive understanding by developing and maintaining data visualizations, statistical analysis, reporting, and analytical solutions for enterprise and infrastructure data.
• Governance and data management by establishing and improving data quality, validation, monitoring, governance, documentation, and reusability practices.
• Support for AI/ML initiatives including data preparation, feature development, dataset creation, experimentation support, evaluation, and integration of AI/ML outputs into operational solutions.

How you’ll work day to day

• Partner with customers and stakeholders to understand business and operational needs, identify improvement opportunities, and translate requirements into workable data and analytics solutions.
• Independently lead projects using appropriate software development and agile practices, covering requirements and solution design through development, testing, implementation, and continuous improvement.
• Create and maintain technical and business documentation, including requirements, data definitions, process flows, use cases, user stories, technical designs, and operational procedures.
• Collaborate across IT and operations, providing technical guidance, peer review, and mentoring to others on the Data & Insights team.
• Apply information security, information assurance, governance, privacy, and compliance requirements across all data, analytics, and AI/ML-related activities.
• Reference written work instructions for guidance with daily job activities.

Required experience and skills

• Education and experience: University Degree (or equivalent experience) with minimum 8 years prior relevant experience, or an Advanced Degree in a related field with minimum 5 years experience.
• Hands-on experience: 5+ years in data engineering, data analytics, business intelligence, or a related technical discipline.
• Proficiency with Python and SQL, including hands-on experience with PySpark or comparable distributed data-processing technologies.
• Proven ability to design and develop 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.
• Ability to analyze complex datasets, develop meaningful metrics and visualizations, and translate insights into actionable recommendations.
• Experience owning technical projects independently, working through ambiguous or complex problems with limited day-to-day direction.
• Experience preparing, structuring, and curating data for machine learning, AI/ML, advanced analytics, or other data science applications.

Technologies you’ll use

• Python, SQL, PySpark, ETL/ELT, Azure, Databricks, Snowflake, Delta Lake, Power BI
• ServiceNow/ITSM data, Git/CI/CD

Benefits

• Healthcare
• Wellness
• Retirement
• Work/life benefits
• Parental (including paternal) leave
• Flexible work schedules
• Achievement awards
• Educational assistance
• Child/adult backup care

Eligibility and location

• Remote: Work primarily offsite from home.
• Location requirement: The successful candidate must be currently living in Puerto Rico (Santa Isabel Municipio, PR remote).
• Travel: May be expected to travel to the Santa Isabel site location as needed.
• Citizenship requirement: U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.
• Security clearance: None/Not Required.