Data Engineer

Job not on LinkedIn

🔥 12 hours ago

🌵 Arizona, Massachusetts, +2 more states – Remote

🌵 Arizona – Remote 🍂 Massachusetts – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote

💵 $107.5k - $204.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

RTX

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2020

🏭 Manufacturing

💼 Consulting

📦 Logistics

Manufacturing • Consulting • Logistics

RTX is a globally recognized aerospace and defense company dedicated to transformative technologies and era-defining innovation. It operates through various businesses, including Collins Aerospace, Pratt & Whitney, and Raytheon, with a focus on sustainable, connected flight and smarter defense systems. RTX is committed to diversity, equity, and inclusion across the company and aims to solve the world’s most complex problems with cutting-edge technology and talent. Additionally, RTX is involved in significant projects like upgrading the F135 Engine Core and developing missile-defense systems. The company emphasizes corporate responsibility and sustainable practices.

📋 Description

• Design, develop, optimize, and maintain scalable data workflows and pipelines in Matillion using AI-driven automation • Process data from various sources using Matillion, HVR, and Databricks • Collaborate with data scientists, analysts, architects, and stakeholders to translate data requirements into technical solutions • Perform data modeling to structure databases supporting business requirements • Write and optimize SQL queries for analysis, transformation, and troubleshooting • Ensure data security and regulatory compliance • Advocate established best practices, design patterns, and data governance mandates • Document data processes, workflows, and technical specifications • Deliver reliable, trustworthy data solutions that drive business decision-making and aerospace and defense capabilities

🎯 Requirements

• University Degree or equivalent experience and a minimum of 8 years of prior relevant experience, or an Advanced Degree in a related field and minimum 5 years experience • 5+ years experience as a data engineer performing AI driven data analysis, data modeling, and data transformation • Strong experience developing and optimizing ETL/ELT processes using tools such as Matillion • Strong data modeling and architecture skills • Experience translating business data needs into detailed data requirements • Experience with SAP Hana, BW, Multipliers, Infocubes, and OData • U.S. citizenship • Ability to obtain and maintain a U.S. government-issued security clearance • Active and existing DoD Secret security clearance required after day 1 • Experience with AI-driven data exploration, understanding, and validation • Strong proficiency in SQL and relational databases • Solid experience with Python for data transformation • Experience with Snowflake and SAP for data warehousing • Proficiency in Matillion and REST API integration • Familiarity with data governance, data security, data catalogs, and data quality protocols • Understanding of FedRAMP, ITAR, and U.S. government cloud data protection requirements • HireVue first-round video screening required

🏖️ Benefits

• Medical, dental, and vision insurance • 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 • Holidays • Potential annual short-term and/or long-term incentive compensation programs (not guaranteed) • Remote work from home • Potential travel to the site location as needed