RTX Corporation is hiring a Senior Data Engineer (Remote)

Date Posted: 2025-11-24 Country: United States of America Location: UT68: Corporate 1 Farm Springs Road, Farmington, CT, 06034 USA Position Role Type: Remote U.S. Citizen, U.S. Person, or Immigration Status Requirements: This role mandates a U.S. Person status. A U.S. Person is defined as a lawful permanent resident under 8 U.S.C. 1101(a)(20) or a protected individual per 8 U.S.C. 1324b(a)(3). Eligible individuals include U.S. citizens, nationals, permanent residents, or those granted refugee/asylee status. For comprehensive definition, refer to https://www.ecfr.gov/current/title-22/chapter-I/subchapter-M/part-120/subpart-C/section-120.62 Security Clearance: None/Not Required A leading aerospace and defense organization provides advanced systems and services for commercial, military, and government customers worldwide. Comprising three industry-leading businesses, the company employs 185,000 professionals who operate at the technological frontier, delivering solutions in quantum physics, electric propulsion, directed energy, hypersonics, avionics, and cybersecurity. Formed in 2020 through a strategic merger, the organization is headquartered in Arlington, VA. Position Overview: Seeking a Senior Data Engineer for the Enterprise Services Data organization, AI Foundations team. The role involves driving cutting-edge AI, ML, and data capabilities to solve diverse aerospace challenges through: - Collaborating with product leadership on technical capability roadmaps - Serving as technical stakeholders for the AI platform - Evaluating state-of-the-art vendors and external capabilities - Building enablers, products, and services What You Will Do: - Design, build, and maintain scalable data pipelines supporting batch and real-time processing across structured and unstructured data sources - Develop and optimize ETL/ELT workflows for efficient data ingestion, transformation, and delivery - Collaborate with data architecture, analytics, ML engineering, and product teams - Implement data quality checks and validation logic - Work with cloud platforms and distributed computing frameworks - Design and maintain metadata, lineage, and documentation - Optimize data storage, compute, and pipeline performance - Implement security and access control standards - Troubleshoot production data issues - Continuously evaluate emerging technologies Qualifications You Must Have: - Bachelor's degree in STEM with 5+ years professional experience in data engineering - 5+ years programming, particularly Python - Experience with ETL/ELT processes and tools - 3+ years cloud computing platform experience - Knowledge of data warehousing concepts - Understanding of data governance frameworks - U.S. work authorization without sponsorship Qualifications We Prefer: - Flexible mindset for multi-disciplinary challenges - Experience building AI pipelines - Expertise with Large Language Models - Hands-on enterprise GenAI data solutions - Version control and development tool proficiency - Strong communication and collaboration skills - Task prioritization abilities What We Offer: Unique Team Attributes: - Supportive work environment - Flexible scheduling - Diverse technical opportunities Benefits Highlights: - Professional development programs - Comprehensive medical coverage - Paid time off - 401(k) matching - Rotational programs - Recognition initiatives Work Location: Remote (within U.S. states) Salary Range: 101,000 USD - 203,000 USD Comprehensive benefits package including medical, dental, vision, insurance, disability coverage, and potential incentive compensation. Equal Opportunity Employer committed to diversity and inclusion. Privacy Policy available at provided link.