Data Engineer

Job description

Date Posted: 2026-10-27 Country: United States of America Location: US-DC-REMOTE Position Role Type: Remote U.S. Citizen, U.S. Person, or Immigration Status Requirements: U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract. Security Clearance Type: None/Not Required Security Clearance Status: Not Required At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market-leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Join us and help shape the future of aerospace and defense. The following position is to join our RTX Corporate, Enterprise Services team: As a Data Engineer – Data & Insights, you will build and maintain the data foundation that powers analytics and AI capabilities across RTX. You will develop secure, governed, and consumption-ready data products while supporting machine learning workflows, data quality initiatives, and enterprise data integrations. Working collaboratively with data scientists, analysts, data owners, and business stakeholders, you will leverage modern data platforms and engineering practices to ensure data is trusted, well-structured, and accessible for business insights and advanced analytics. What You Will Do Design, implement, and maintain data governance and architecture capabilities using Databricks Unity Catalog, including namespaces, permissions, lineage, and data access controls. Implement automated data quality checks, monitoring, and alerts, coordinating remediation workflows with data owners and source teams. Integrate data platforms with Microsoft Fabric and expose trusted Gold-layer data products through enterprise data marketplaces. Develop and maintain reference architectures, data engineering standards, and technical documentation. Build data annotation workflows and labeling interfaces in Databricks to support machine learning and AI initiatives. Track annotation progress, data quality, and dataset versions to support reliable ML training and inference. Develop LLM and Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, chunking, embedding generation, and vector search. Support machine learning pipelines through feature engineering, batch and real-time scoring, and data monitoring. Maintain MLflow capabilities for experiment tracking and model registry management. Design and maintain data classification schemas, taxonomies, and labeling specifications for signals, severity levels, categories, and other business requirements. Own and enhance key Gold-layer data products, including experience arrays and friction signal aggregates. Integrate new data sources, implement business rules, and develop consumption-ready data views and APIs. Maintain data dictionaries, product documentation, and metadata to support consistent data usage across the organization. Collaborate with cross-functional teams in an Agile development environment to manage priorities, solve complex problems, and deliver scalable data solutions. Qualifications You Must Have Typically requires a University Degree or equivalent experience and a minimum of 8 years of prior relevant experience, or an Advanced Degree in a related field and a minimum of 5 years of experience. 5+ years of experience in data engineering or analytics engineering, preferably using Databricks or a similar lakehouse platform. Experience with SQL, Python, and Delta Lake. Experience with Unity Catalog, data governance, and data quality management. Experience building and maintaining data pipelines for machine learning training and inference. Experience with data modeling, classification schemas, and taxonomies. Extensive experience with data warehousing concepts, dimensional modeling, and ETL processes. Experience working in an Agile development environment and managing multiple priorities in a fast-paced environment. Qualifications We Prefer Experience with Microsoft Fabric, Delta Sharing, or cross-platform data sharing. Familiarity with annotation tools, natural language processing (NLP), and vector databases. Experience with MLflow or similar tools for experiment tracking and model management. Background in metrics and KPIs, information architecture, or IT and infrastructure domains. Strong analytical and problem-solving skills, with the ability to develop innovative solutions that improve business performance. Demonstrated leadership, interpersonal, and communication skills, including the ability to influence stakeholders and align teams toward common goals. Ability to manage multiple projects simultaneously while adapting to changing business and technical priorities. A flexible, collaborative mindset and the ability to thrive in a dynamic environment. What We Offer Whether you’re just starting out on your career journey or are an experienced professional, we offer a robust total rewards package with compensation; healthcare, wellness, retirement and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance and child/adult backup care. Learn More & Apply Now! Location: REMOTE Please consider the following role type definition as you apply for this role: Remote: Employees who are working in Remote roles will work primarily offsite (from home). If you live within a reasonable commute of an RTX site with other colleagues you interact with, your manager will discuss whether there is a degree of onsite presence associated with this role. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms