Senior Data Engineer; Remote

Senior Data Engineer (Remote) page is loaded## Senior Data Engineer (Remote) locations:
UT68:
Corporate 1 Farm Springs Road, Farmington, CT, 06034 USAtime type:
Full time posted on:
Posted Yesterday job requisition :

** Date Posted:
**** 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 job requires a U.S. Person. A U.S. Person is a lawful permanent resident as defined in 8 U.S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3). U.S. citizens, U.S. nationals, U.S. permanent residents, or individuals granted refugee or asylee status in the U.S. are considered U.S. persons. For a complete definition of “U.S. Person” go here.

https://(Use the "Apply for this Job" box below)..62
** Security Clearance:
** None/Not Required

RTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses – Collins Aerospace Systems, Pratt & Whitney, and Raytheon. Its 185,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity.

The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, VA.The following position is to join our RTX
** Enterprise Services
** team:
*
* Position Overview:

** We are seeking a Senior Data Engineer to join RTX in the Enterprise Services Data organization, AI Foundations team. You will play an active role in bringing cutting edge AI, ML, and data capabilities to RTX. We provide capabilities to practitioners across the enterprise used to solve a vast variety of aerospace challenges through:
* Working with product leadership to maintain technical capability roadmaps
* Serving as technical stakeholders for RTX's AI platform
* Evaluating state of the art vendors and external capabilities to recommend for platform availability
* Building enablers, products, and services
*
* What You Will Do:

*** Design, build, and maintain scalable data pipelines that support batch and real-time data processing across structured and unstructured data sources.
* Develop and optimize ETL/ELT workflows to ensure efficient data ingestion, transformation, and delivery into data warehouses, data lakes, or lakehouse environments.
* Collaborate closely with data architecture, analytics, ML engineering, and product teams to understand data requirements and translate them into reliable technical solutions.
* Implement data quality checks, data validation logic, and automated monitoring to ensure accuracy, completeness, and reliability of datasets.
* Work with cloud platforms (e.g., Azure and AWS) and distributed computing frameworks (e.g., Spark) to build high-performance data systems.
* Design and maintain metadata, lineage, and documentation that provides transparency into the data lifecycle and supports governance & compliance needs.
* Optimize data storage, compute, and pipeline performance to reduce cost and increase efficiency.
* Implement security and access control standards for sensitive data in alignment with organizational policies and compliance regulations.
* Troubleshoot production data issues, perform root cause analysis, and drive permanent fixes rather than temporary workarounds.
* Continuously evaluate new tools, technologies, and patterns to improve data engineering capabilities and align with future scalability requirements.
** Qualifications You Must Have:
*** Bachelor’s degree in a STEM discipline with 5+  years of professional experience in data engineering, software engineering, or a similar role, with a strong focus on building and maintaining robust data pipelines.
* 5+ years in programming languages, particularly Python, for building and automating data pipelines and…