Enlighten, honored as a Top Workplace from USA Today, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science. Enlighten provides continued innovation and proactivity in meeting our customers’ greatest challenges.
We recognize that the most effective environment for your projects doesn’t always look the same. Our hybrid work approach ensures that you can make lasting relationships with your team and collaborate in-person to get the job done—while having the flexibility to work from home when needed to achieve focused results.
This is an UNPAID internship through the DoD SkillBridge Program for transitioning active-duty US military personnel. DoD SkillBridge Internships are available to help transitioning active-duty military personnel gain real-world experience in the work force sometime during their final 180 days of active-duty service. The intern will actively train on meaningful projects and work closely with a mentor and with senior company leadership. Enlighten Internship programs are focused on placing transitioning military into internships that require KSAs, Education & Military Training similar to their current or previous military jobs; positions that could easily transition over to a full-time regular and permanent job with Enlighten.
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The SkillBridge intern will train as a Data Engineer with Enlighten, reporting to a designated Enlighten Supervisor, with the goal of learning Enlighten’s Enterprise approach to design, build, and optimize Big Data Platform (BDP) systems for data collection, storage, access, and analytics at scale. The intern will be assigned special projects as needed.
Desired End State (3-4 month target)
At the end of four months, the intern will be able to understand basic data engineer concepts. Data engineers, as part of enterprise data analytics teams, manage, optimize, oversee, and monitor data retrieval, storage, and distribution throughout the BDP enclaves.
The intern will develop a good understanding of all critical tasks to successfully conduct data engineer objectives:
Data acquisition
Develop data set processes (Extract, transform, load (ETL))
Use programming language and tools
Identify ways to improve data reliability, efficiency, and quality
Prepare data for predictive and prescriptive modeling
Use data to discover tasks that can be automated
Assumptions/Restrictions
Training Plan
Phase 1 Basics
Phase 2 Parser Overview
Phase 3 Parser Development, Deployment, and Testing
Additional Goals
Physical Requirements will vary and is dependent on the Program of Instruction.
We have many more additional great benefits/perks that you can find on our website at www.eitccorp.com [eitccorp.com].