
10,000+ employees
Founded 2020
đ Manufacturing
đź Consulting
đŚ 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 worldâs 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.
đĽ 1 minute ago
đď¸ District of Columbia â Remote
đľ $107.5k - $204.5k / year
â° Full Time
đ Senior
đ´ Lead
đ° Data Engineer
đť Ghost score 0%
Where this job comes from
Posted on RTX's careers page, not through a job board
First seen by Remote Rocketship 1 minute ago
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10,000+ employees
Founded 2020
đ Manufacturing
đź Consulting
đŚ 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 worldâs 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.
⢠Design, implement, and maintain data governance and architecture capabilities using Databricks Unity Catalog ⢠Implement automated data quality checks, monitoring, and alerts, and coordinate remediation workflows ⢠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 ⢠Track annotation progress, data quality, and dataset versions for ML training and inference ⢠Develop LLM and 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 ⢠Own and enhance 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 ⢠Collaborate with cross-functional teams in an Agile development environment to deliver scalable data solutions
⢠U.S. citizenship is required ⢠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 ⢠Experience with Microsoft Fabric, Delta Sharing, or cross-platform data sharing preferred ⢠Familiarity with annotation tools, NLP, and vector databases preferred ⢠Experience with MLflow or similar tools preferred ⢠Background in metrics and KPIs, information architecture, or IT and infrastructure domains preferred
⢠Healthcare, wellness, retirement and work/life benefits ⢠Parental (including paternal) leave ⢠Flexible work schedules ⢠Achievement awards ⢠Educational assistance ⢠Child/adult backup care ⢠Medical, dental, and vision insurance ⢠Life insurance ⢠Short-term disability ⢠Long-term disability ⢠401(k) match ⢠Flexible spending accounts ⢠Employee assistance program ⢠Employee Scholar Program ⢠Paid time off and holidays ⢠Annual short-term and/or long-term incentive compensation programs may be available
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