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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Data Analyst (Hybrid) - **Company:** RTX - **Location:** Richardson, TX, United States - **Experience:** Expert - **Salary:** $107,500.0 - $204,500.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Confluence, JIRA, Audit Trail, Microsoft Azure, Big Data, Data as a Services, Data Cleansing, Information Engineering, Data Files, Data Governance, Data Infrastructure, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Security, DevOps, File Systems, Distributed Systems, Enterprise Content Management, Github, Image Management, Python (Programming Language), Operational Databases, Microsoft SharePoint, SQL Databases, Apache Spark, Electronic Medical Records, Cloudformation, Pyspark, Infrastructure Automation Frameworks, Planview, Integration Frameworks, Data Management, Terraform, Jenkins, Servicenow, Databricks - **Published:** September 23, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3401623721&tx=FP5148FFL&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * Typically requires a University Degree and minimum 8 years prior relevant experience or an Advanced Degree in a related field and minimum 5 years of experience. * Must be a U.S. Citizen. * Experience in data service pipelines that handle both structured and unstructured data sources, including enterprise content repositories and file systems. * Demonstrated ability to segment, classify, or secure data sets based on business, legal, or compliance requirements. * Demonstrated expertise supporting and optimizing complex processes in a large organization. Ability to leverage industry-standard process tools (e.g., Jira, Confluence, Planview, ServiceNow) to monitor the flow of work. * Experience with cloud platforms (AWS, Azure, or GCP) and their native data services. * Strong understanding of ETL/ELT, distributed systems, data modeling, and secure data architecture principles. * Ability to work effectively in Agile teams and collaborate across technical and business functions., * Experience designing data environments where strict security boundaries, data separation, or access controls are essential. * Familiarity with document processing, OCR, text extraction, image handling, or large unstructured content repositories. * Background with data governance, lineage, auditability, and automated policy enforcement. * Proficiency in Python, SQL, and data processing frameworks (Spark, PySpark, Databricks, EMR, Glue, or similar). * Experience integrating data from SharePoint, network file shares, and legacy content systems. * Knowledge of AI/ML data preparation, feature pipelines, or working with high-sensitivity data sets. * Experience with DevOps and IaC tools such as Terraform, CloudFormation, GitHub Actions, or Jenkins. * Prior experience in aerospace, defense, manufacturing, or other regulated industries. ## Description * Responsible for work intake processes for a large data services organization. Candidate will work across multiple functional areas (e.g., finance, engineering, operations) and data skillsets (e.g., data engineering, governance, master data management) to maximize value delivery. * Support strict data access controls, classification rules, and data protection mechanisms to support secure data separation across environments. * Serve as the focal for centralized cyber and compliance processes for data services organization. * Optimize data services engagement in these processes while ensuring compliance and operational availability. * Work with stakeholders across digital and the business to translate prioritization into execution. * Partner with cross-functional stakeholders to translate complex business and compliance requirements into reliable, secure data engineering solutions. * Optimize data workflows for performance, observability, and resiliency across cloud and hybrid platforms. * Develop reusable patterns, automation, and governance-aligned data frameworks that accelerate secure data enablement across the organization. * Support production data systems with strong attention to data integrity, lineage, and access auditability. What You Will Learn: * How Collins business processes, systems, and data domains operate across engineering, operations, supply chain, quality, and enterprise functions. * Industry-specific constraints and expectations within the Aerospace & Defense sector related to data security, compliance, and controlled information. * How sensitive or segregated data sources-file shares, SharePoint, images, engineering documents, operational logs-flow through the business and how they must be protected or partitioned. * How to interpret and apply business rules, legal requirements, and security considerations to design data boundaries and manage data movement responsibly. * Cross-functional coordination practices with program teams, cybersecurity, legal/compliance, DT, engineering, and enterprise operations, enabling tight alignment between business needs and secure data operations., Hybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader. presence associated with this role. Regardless of your role type, collaboration and innovation are critical to our business and all employees will have access to digital tools so they can work with colleagues around the world - and access to Collins sites when their work requires in-person meetings. 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. ## Related Videos - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) - [Unlocking Value from Data: The Key to Smarter Business Decisions-](https://www.wearedevelopers.com/videos/1367-unlocking-value-from-data-the-key-to-smarter-business-decisions) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)