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Data Analysis and Battery Testing Electrical Engineer
SAIC
Crane, Indiana, United StatesOn Site
Original Job Summary
Overview
SAIC is seeking a Data Analysis and Battery Testing Electrical Engineer to support the US Navy in Crane, IN.
Job Responsibilities
- Support airborne lot testing and space applications, including programming files and assisting with vibration testing.
- Become proficient in battery test methods: monitoring points, switching, circuit protections, wattage management, and time correlation.
- Apply practical physicist application focus to engineering tasks, avoiding purely theoretical approaches.
- Conduct Big Data analysis to predict failure modes and end-of-life characteristics of lithium-ion cells.
- Assist other analysts in utilizing analytic platforms as needed.
- Present findings, approaches, and processes to team members.
Required Experience and Clearance
Bachelor's degree in Electrical Engineering (2+ years experience) or Master's with 0 years experience. Interim Secret clearance required and US Citizenship is mandatory. SAIC will sponsor the clearance process.
Desired Experience
- Proficiency in LabView, MatLab, and C++.
- Experience with DoD and/or NSWC Crane support.
- Strong Computer Science skills to develop and maintain data pipelines using Power BI, R, Python, SQL, etc.
- Experience with GitHub and Microsoft DevOps for code version control.
- Ability to apply practical physicist and electrical engineering skills to testing tasks.
Key skills/competency
Data Analysis, Battery Testing, Electrical Engineering, Big Data, LabView, MatLab, C++, Data Pipelines, DoD, Clearance
How to Get Hired at SAIC
🎯 Tips for Getting Hired
- Research SAIC's culture: Study mission, values, and recent news.
- Customize your resume: Highlight relevant electrical and data analysis skills.
- Emphasize clearance: Mention Interim Secret clearance status.
- Prepare technical portfolio: Showcase testing and Big Data projects.
📝 Interview Preparation Advice
Technical Preparation
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Review LabView and MatLab basics.
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Practice C++ coding exercises.
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Study data pipeline development in Python.
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Refresh Big Data predictive analysis techniques.
Behavioral Questions
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Describe teamwork in technical projects.
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Explain handling challenging deadlines.
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Discuss independent problem-solving examples.
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Share experiences explaining technical results.