Description
Description
SAIC is seeking an experienced Data Engineer. Work directly with customers in a technical role to help ensure smooth adoption of the Crucible platform and develop cutting-edge solutions using the Crucible platform
· Spec, build, test and deploy customized mission-focused applications based on customer requirements
· Participate in deployment and implementation planning with customers
· Directly assist with installation and setup of the Crucible platform
· Produce customer documentation to support custom applications
· Contribute technical content and tutorials to product documentation
· Familiarity with distributed systems like Hadoop, HBase / Accumulo, Docker, Kubernetes and Kafka
· Experience with source code management tools including GitHub / GitLab
· Experience with Java, architecting ETL data pipelines supporting data-driven applications, utilizing REST and JSON
· Familiarity with systems for data routing and transformation such as NiFi
· Systems-level understanding of Machine Learning concepts and technology
· Experience writing scripts using Linux shell, Python, or similar scripting language
· Experience working with Cloud technologies such as Azure, AWS, or GCP
· Experience working with Linux to install and maintain a distributed computing infrastructure
· Responsible for demonstrating SAIC solutions to customers and partners
· Deliver customer training
Qualifications
Education and Experience Requirements
- US Citizenship and an active TS/SCI Clearance
- B.A. or B.S. in Computer Science, Engineering, Information Technology, or related discipline
- Requires 5-10 years of experience with implementation and understanding of Network Engineering principles in a professional environment.
- Requires 5-10 years of experience in the development, implementation, and maintenance of network architectures.
SAIC accepts applications on an ongoing basis and there is no deadline.
Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.
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