> Markdown version of [/jobs/ext/3767390-senior-analytics-engineer-remote](https://www.wearedevelopers.com/jobs/ext/3767390-senior-analytics-engineer-remote). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Analytics Engineer (Remote) - **Company:** RTX - **Location:** Waltham, MA, United States (Remote available) - **Experience:** Expert - **Salary:** $86,800.0 - $165,200.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Amazon Web Services, Amazon S3, Data Analysis, Microsoft Azure, Cloud Computing, Information Systems, Data Integration, Graph Database, Python (Programming Language), Machine Learning, Operational Data Store, Software Engineering, Usage Analysis, Software Organization, Data Processing, Apache Spark, Git, Data Layers, Build Management, Atlassian Tools, Categorical Data, Software Version Control - **Published:** October 16, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/ps071y1ah2 ## About the Role * Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 5 years prior relevant experience or an Advanced Degree in a related field and minimum 3 years of experience * Background in Data Science, Statistics, or an Engineering discipline, * Experience with Python for data analysis and model development * Experience within the Aerospace & Defense industry or Information Systems environments * Familiarity with graph databases, semantic layers, and data ontology frameworks * Hands-on experience with cloud and distributed technologies such as AWS, Azure, or Apache Spark * Knowledge of Git or similar version control systems, following software development best practices * Understanding of the full software development lifecycle, from concept through deployment * Experience using Agile collaboration and project management tools such as Jira and Confluence ## Description We are seeking a Senior Analytics Engineer to join our Integrated Product Analytics team. In this role you will leverage your data and engineering expertise, and strong statistical foundation to help develop and mature an end-to-end digital thread across a portfolio of Collins Aerospace products. As a senior member of the team, you will play a critical role in integrating data across historically siloed business units, transforming complex engineering and operational data into actionable insights. Your work will directly influence product performance, service optimization, and enterprise business intelligence strategies. This position requires a strategic thinker who can bridge engineering knowledge with advanced analytics, drive cross-functional collaboration, and lead initiatives that elevate data-driven decision-making across the organization. What You Will Do * Conduct data analysis with Python to drive informed business decisions * Apply statistical methods to assess data completeness, accuracy, and reliability * Support engineering teams with root cause analysis investigations * Promote the adoption of semantic models and ontologies across the organization * Design and build executable Python-based analytical models * Automate data processing, analysis, and formatting workflows * Clean, structure, and analyze datasets using Python * Organize data and implement standardized labeling practices in AWS S3 * Deploy machine learning algorithms on both numerical and categorical data sets, Remote: Employees who are working in Remote roles will work primarily offsite (from home). An employee may be expected to travel to the site location as needed. * Position is remote; however, if you live within a reasonable commute of a Collins site with other colleagues you interact with, your manager will discuss whether there is a degree of onsite presence associated with this role. At Collins, the paths we pave together lead to limitless possibility. And the bonds we form - with our customers and with each other -- propel us all higher, again and again.