Senior Data Engineer

Job not on LinkedIn

🔥 6 minutes ago

🇺🇸 United States – Remote

💵 $142.8k - $172.5k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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General Dynamics Information Technology

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1954

🔒 Cybersecurity

🤖 Artificial Intelligence

Defense • Cybersecurity • Artificial Intelligence

General Dynamics Information Technology is a company at the forefront of technological innovation, offering a wide range of services including consulting, digital modernization, and application services. The company is heavily involved in implementing solutions related to artificial intelligence, cloud computing, cybersecurity, high-performance computing, and quantum technologies. GDIT is committed to supporting government and defense sectors, providing mission-critical services such as logistics and supply chain management, intelligence, and homeland security. The company also focuses on diverse and inclusive hiring practices and actively promotes employee well-being. Through its digital accelerator solutions and pioneering use of emerging technologies, GDIT aims to propel agencies' missions forward and address complex technological challenges.

📋 Description

• Design, build, and operate scalable end-to-end data pipelines and curated data products that support enterprise analytics and agentic AI use cases • Integrate data from enterprise systems and external sources, including structured, semi-structured, and unstructured data • Deliver reliable data services for agentic AI workflows, including APIs, retrieval/indexing, and governed context delivery for AI agents • Implement data quality, observability, and governance best practices across data pipelines and products • Optimize performance and cost across storage, compute, orchestration, and serving layers • Collaborate with cross-functional teams, including business stakeholders, AI engineers, and software developers, to translate requirements into production solutions

🎯 Requirements

• 10+ years of related experience • Bachelor’s degree in Computer Science/Engineering, Data Science, or a related field • Proficiency in programming languages (Python or Java) and databases (SQL and NoSQL) • Experience with enterprise-scale data architectures and cloud data platforms such as Azure (preferred), OCI, or AWS • Strong collaboration and communication skills in cross-functional enterprise environments • Experience delivering data engineering for agentic AI applications preferred • Familiarity with agent workflows and how agents interact with data services and tools in production preferred • Experience with lakehouse architectures and cloud data platforms such as Azure (preferred), OCI (preferred), or AWS preferred • Experience in real-time streaming applications or other high-velocity solutions preferred • Experience leveraging AI tools to improve data engineering productivity and quality in coding, testing, and documentation preferred.

🏖️ Benefits

• Comprehensive benefits and wellness packages • 401K with company match • Competitive pay and paid time off • Full-flex work week to own your priorities at work and at home • Variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave • 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year • Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees.