Why This Role Stands Out
Leverage your Top Secret clearance and data engineering expertise to build advanced visual analytic applications for a leading government enterprise, offering significant career growth within a highly reputable organization. If you excel in designing and implementing data pipelines and have a passion for transforming complex data into actionable intelligence, you'll thrive in this hybrid role with a focus on cutting-edge technology. Apply today to join a high-performing cyber team and make a real impact.
Quick Overview
Job Description
Data Engineer Tagged: etl, cribl, Splunk, Data Engineer, data science, pipelines, sentinel Open Systems Technologies Corporation is looking for a Data Engineer to join our high performing cyber team in support of a large government enterprise environment.
Required Skills
- Clearance: Top Secret with the ability to sit for the CI Poly
- Requires BS or BA degree.
- Five Years of total IT experience required.
- The engineer will work with specified open-source technologies, as well as Commercial Off-The-Shelf (COTS) and Government Off-The-Shelf (GOTS) technologies, to create an application that generates manageable and actionable intelligence from streams of structured and semi-structured data.
- Responsible for carrying out engineering tasks to deliver an advanced visual analytic application to include: developing data analytics for desktop and web-developed visual analytic software; facilitating the bulk analysis of relational information utilizing advanced graphics, visualization, and high-performance computing, as well as using the specified open source, COTS, and GOTS technologies; and establishing an application that produces manageable, actionable intelligence from streams of a structured and semi-structured data.
- Design strategies for enterprise database systems and set standards for operations, programming, and security.
- Design and construct large relational databases.
- Integrate new systems with existing warehouse structure and refine system performance and functionality.
Experience Required
- At least 5 years in a data architect or data engineer role
- Experience with developing ETL processes/pipelines
- Experience with modeling complex data structures of varied formats
- Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor and operate data platforms
- CRIBL experience
- Splunk Experience
- MS Sentinel Experience
- We're looking for someone experienced in building out data pipelines utilizing Splunk/Cribl or other similar SIEMs/ETL tools
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