Location: Charlotte, NC
Salary Range: $70-$75/hr on W2
Introduction
In this contingent resource assignment, you may consult on complex initiatives with broad impact and large-scale planning for Software Engineering. You will review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel.
Required Skills & Qualifications
Salary Range: $70-$75/hr on W2
Introduction
In this contingent resource assignment, you may consult on complex initiatives with broad impact and large-scale planning for Software Engineering. You will review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel.
Required Skills & Qualifications
- 5 years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
- Prior work experience at client or in client's Industry.
- Applicants must be able to work directly for Artech on W2.
- Experience with AI and data engineering technologies.
- Proficiency in programming languages such as Python or R.
- Knowledge of cloud platforms like AWS, Azure, or Google Cloud.
- Collaborate with cross-functional teams to design and implement AI-driven data solutions.
- Analyze large datasets to extract actionable insights and drive data-driven decision-making.
- Ensure data quality and integrity throughout the data lifecycle.
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- A collaborative and inclusive work environment.
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