
10,000+ employees
Founded 1969
🔒 Cybersecurity
🔬 Science
Defense • Cybersecurity • Science
Leidos is a leading systems integrator in science, technology, and engineering, providing solutions that transform and enable the missions of its customers. The company operates across various markets, including aviation, defense, energy, government, healthcare, intelligence, science, and space. Leidos is involved in AI, digital modernization, cyber operations, and integrated and mission software systems. With a commitment to diversity, equity, inclusion, and sustainability, Leidos also engages in charitable efforts and community enrichment programs. Additionally, it contributes to developing solutions for counter-unmanned aerial systems and electric vehicle infrastructure for military applications.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $87.1k - $157.4k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
☁️ Cloud Engineer
🦅 H1B Visa Sponsor
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10,000+ employees
Founded 1969
🔒 Cybersecurity
🔬 Science
Defense • Cybersecurity • Science
Leidos is a leading systems integrator in science, technology, and engineering, providing solutions that transform and enable the missions of its customers. The company operates across various markets, including aviation, defense, energy, government, healthcare, intelligence, science, and space. Leidos is involved in AI, digital modernization, cyber operations, and integrated and mission software systems. With a commitment to diversity, equity, inclusion, and sustainability, Leidos also engages in charitable efforts and community enrichment programs. Additionally, it contributes to developing solutions for counter-unmanned aerial systems and electric vehicle infrastructure for military applications.
• Design, develop, and maintain scalable data pipelines and integration solutions • Support migration and modernization of SAS-based analytics and reporting workflows • Develop ETL/ELT processes and cloud-based data engineering solutions • Implement automated testing, validation, and monitoring processes • Support data ingestion, transformation, and delivery across multiple analytical environments • Develop reusable code, technical documentation, and deployment procedures • Collaborate with architects, analysts, and program stakeholders to support modernization objectives
• Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, or related discipline • 5+ years of experience in data engineering, analytics, software development, or cloud-based data management • Strong SQL skills • Hands-on experience with Python, R, SAS, PySpark, or comparable technologies • Experience developing ETL/ELT processes and data pipelines • Strong troubleshooting and problem-solving skills • Ability to obtain/maintain a Public Trust Security Clearance
• competitive compensation • Health and Wellness programs • Income Protection • Paid Leave • Retirement
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