> Markdown version of [/jobs/ext/3113344-data-engineer-hybrid](https://www.wearedevelopers.com/jobs/ext/3113344-data-engineer-hybrid). 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). --- # Data Engineer (Hybrid) - **Company:** RTX - **Location:** Richardson, TX, United States - **Experience:** Experienced - **Salary:** $86,800.0 - $165,200.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Audit Trail, Microsoft Azure, Big Data, Cloud Computing, Cyber Security, Databases, Data as a Services, Data Cleansing, Data Files, Data Governance, Data Infrastructure, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Security, Data Systems, Decision Support Systems, DevOps, File Systems, Distributed Systems, Enterprise Content Management, Github, Image Management, Internet Security, Python (Programming Language), Machine Learning, Operational Databases, Performance Tuning, Systems Development Life Cycle, Blockchain, Microsoft SharePoint, SQL Databases, Unstructured Data, Data Processing, Scripting, Google Cloud, Apache Spark, Electronic Medical Records, HybridCloud, Cloudformation, Pyspark, Infrastructure Automation Frameworks, Integration Frameworks, Operational Systems, Data Management, Terraform, Jenkins, Databricks - **Published:** September 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/data-engineer-hybrid-richardson-tx--596a6c8b-c0bf-42b1-a2ea-1723bc2b6c9d ## About the Role * Typically requires a University Degree and minimum 5 years prior relevant experience or an Advanced Degree in a related field and minimum 3 years of experience. * U.S. Citizen - U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract. * Experience in engineering 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. * Proficiency in Python, SQL, and data processing frameworks (Spark, PySpark, Databricks, EMR, Glue, or similar). * 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. * 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., Access Control, Aerospace and Defense, Affirmative Action, Aged Care, Agile Programming Methodologies, Amazon Web Services (AWS), Apache Spark, Architectural Analysis, Artificial Intelligence (AI), Autism, Automation, Big Data, Blockchain, Bond Market, Business Processes, Childcare, Cloud Computing, Cross-Functional, Customer Experience, Customer Relationship Management (CRM) Systems, Data Management, Data Modeling, Data Partitioning, Data Processing, Data Quality, Data Sets, Database Extract Transform and Load (ETL), Dental Insurance, DevOps, Distributed Computing, Document Imaging, ERP (Enterprise Resource Planning), Electronic Medical Records, Employee Assistance Plan, Family Planning, File Systems, GCP (Good Clinical Practices), GitHub, Hybrid Cloud, Information/Data Security (InfoSec), Internet Security, Internet of Things, Jenkins, Legal, Life Insurance, Manufacturing, Microsoft SharePoint, Microsoft Windows Azure, Operations Security (OPSEC), Performance Tuning/Optimization, Production Support, Production Systems, Project/Program Coordination, Python Programming/Scripting Language, RTX, Regulatory Compliance, Regulatory Requirements, Rehabilitation Act, SQL (Structured Query Language), Scalable System Development, Security Design, Structured Data, Student Loans, Supply Chain Operations, System Operations, Team Player, United States Citizen, Unstructured Data, Vision Plan ## Description * Design, build, and maintain data pipelines that ingest, transform, and deliver structured data (databases, ERP/CRM systems, operational systems) and unstructured data such as file shares, SharePoint repositories, images, documents, logs, and engineering artifacts. * Engineer data solutions that can logically and physically segment data domains based on business rules, regulatory requirements, and security boundaries. * Implement strict data access controls, classification rules, and data protection mechanisms to support secure data separation across environments. * Build scalable architectures that support analytics, AI/ML, digital products, and data-driven decision making within sensitive or highly partitioned data landscapes. * 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. * 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [The Road to MLOps: How Verivox Transitioned to AWS](https://www.wearedevelopers.com/videos/1050-the-road-to-mlops-how-verivox-transitioned-to-aws) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [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) - [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) - [Our GitOps approach for deploying an Identity Provider and an API Gateway in a SaaS company](https://www.wearedevelopers.com/videos/776-our-gitops-approach-for-deploying-an-identity-provider-and-an-api-gateway-in-a-saas-company) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-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) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)