Our client is a global leader in advanced aerospace, defense, engineering, and technology solutions. Their products and systems support commercial aviation, military operations, national security initiatives, advanced manufacturing, and mission-critical infrastructure around the world. With tens of thousands of engineers, technologists, and innovators worldwide, the organization continues to invest heavily in cloud modernization, artificial intelligence, advanced analytics, cybersecurity, and enterprise data platforms. Their data teams play a critical role in transforming how information is collected, integrated, governed, and leveraged across some of the most complex engineering and manufacturing environments in the world. As a Snowflake Data Engineer, you'll be joining a team responsible for modernizing enterprise-scale data platforms that support critical business operations, large-scale analytics initiatives, and next-generation digital transformation programs. This is an opportunity to work with massive datasets, modern cloud technologies, and highly skilled engineering teams while helping shape the future of data within a world-class technology organization. A Secret Security Clearance is NOT required for this role. However, because of the type of work this organization performs, the client may choose to sponsor a consultant for a Secret Security Clearance while they are on contract. There is no promise or guarantee that clearance sponsorship will occur. The decision would be based on future project needs, business demand, program alignment, and overall fit. Because of this potential opportunity, the client is only considering U.S. Citizens for this position. We are seeking a Snowflake Data Engineer to join a growing enterprise data team focused on cloud modernization and next-generation analytics initiatives. This individual will design, develop, implement, and maintain enterprise data pipelines using Snowflake, Matillion, HVR, and Azure technologies. The ideal candidate has proven experience building scalable cloud data solutions and enjoys solving complex enterprise data challenges in highly regulated environments.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed