Senior Data Engineer (Remote)

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. 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 185000 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 RTXs 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:

• Bachelors 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 analytics data stores.
• Experience with Extract Transform Load (ETL) or Extract Load Transform (ELT) processes and tools like Matillion or other replication tool like HVR (Fivetran) or QLIK Replicate.
• 3 years relevant experience with cloud computing platforms (AWS and/or Azure.)
• Knowledge of data warehousing concepts data modeling and schema design.
• Understanding of data governance lineage quality frameworks and metadata management.
• Must be authorized to work in the U.S. without sponsorship now or in the future. RTX will not offer sponsorship for this position.

Qualifications We Prefer:

• A flexible and patient mindset interested in working on a variety of multi-disciplinary challenges with varying stakeholders partners domains and toolsets.
• Experience with building AI pipelines that bring together structured semi-structured and unstructured data. This includes pre-processing with extraction chunking embedding and grounding strategies semantic modeling and getting the data ready for Models and Agentic solutions.
• Experience building products that use Large Language Models (LLMs) or LLM APIs.
• Hands-on experience implementing production ready enterprise grade GenAI data solutions.
• Experience with Git Github or similar version control system Jira Confluence and Agile development.
• Effective communication and collaboration especially across development and operations and business stakeholders.
• Work with stakeholders to gather prioritize and document functional and technical needs before translating them into software solutions.
• Prioritize tasks and manage multiple streams of work efficiently.

What We Offer:

Unique to our team:

• A welcoming team that works together and supports one another.
• Flexible schedule (Core hours with optional 9/80 4x10 or custom).
• A wide variety of technical opportunities in a cutting-edge landscape.

RTX Benefits Highlights:

• Obtain professional certificates and degrees through the RTX employee scholar program.
• Comprehensive benefits package including medical dental vision life short term disability and long term disability benefits.
• Paid time off including holidays sick time and parental leave.
• 401(k) with matching.
• Rotational programs.
• Reward and recognition programs.

Learn More & Apply Now!
Work Location: Remote
Please consider the following role type definition as you apply for this role:

Remote:This position is currently designated as remote. However the successful candidate will berequired to work from one of the 50 (excluding U.S. Territories). Employees who areworking in Remote roles will work primarily offsite (from home).An employeemay be expected totravel to the site location as needed.

As part of our commitment to maintaining a secure hiring process candidates may be asked to attendselect 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 101000 USD - 203000 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 candidates 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 companys 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.

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