Torch Technologies, a 100% Employee-owned company, is seeking a talented Big Data Analysis Engineer with experience developing automation for batch driven processes and performing analysis on large datasets using tools like Python to process meaningful information with reports supporting the Ground Vehicle System Center (GVSC) at Detroit Arsenal, MI. Candidate is expected support studies, technical assessments, and architectural-level analyses. Candidate will work directly with customers to determine the requirements and analysis goals. Candidate will provide engineering/analytical support to produce objective insights and analytic justification to inform future technology and capability investment decisions. Candidate is expected to develop in fast iteration producing maintainable, testable, well-structured applications. Candidate should be dependable and self-motivated, eager to overcome challenges and solve problems. Previous experience working within a DoD environment is a plus, but not required.

Job Requirements

• A technical degree with 3to5 years of experience in related work
• Experience programming languages like C++
• Experience with scripting languages like Python
• Experience with databases and big data management
• Experience with automation and generation of reports
• Familiarity with source control repositories such as Git and Gitlab
• Understanding of how to manage fidelity mismatches
• Understanding of how to log and manage lots of data
• Must be a team player and know the importance of listening to others. Be a positive, active, and contributing member of the team

COVID Policy: In accordance with the Executive Order 14042 on Ensuring Adequate COVID Safety Protocols for Federal Contractors, Torch Technologies is obligated to comply with the requirements that all employees be vaccinated from COVID-19. Prospective and/or new employees will be required to be fully vaccinated and provide proof of vaccination status or have an approved legal accommodation as a condition of employment prior to the start of employment.

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