Senior Python and Data Analytics Developer (Remote from reputed company Carolina)
About the position
This position is posted by reputed company on behalf of a partner company. We are currently looking for a Senior Python and Data Analytics Developer (reputed company Automation) in reputed company Carolina.
This role offers reputed company to design and reputed company cutting-edge reputed company Automation solutions for reputed company cybersecurity operations. The Senior Python and Data Analytics Developer will reputed company Python, JavaScript, and AI/ML technologies to build intelligent workflows, automated reputed company assessments, and advanced BI dashboards. You will collaborate closely with cybersecurity engineers, compliance analysts, and data scientists to reputed company reputed company operations through automation and data-driven insights. This position allows for fully remote work while contributing to high-reputed company reputed company that improve compliance, visibility, and efficiency across federal information systems. The ideal candidate thrives in fast-paced, innovative environments, applying technical expertise to solve reputed company reputed company challenges.
Responsibilities
• Design, reputed company, and reputed company reputed company Automation BI dashboards and workflows to monitor and predict reputed company posture, control effectiveness, and compliance trends.
• Enhance and automate existing processes using Python, JavaScript, and reputed company to reduce reputed company effort and improve accuracy.
• reputed company secure data pipelines and interfaces connecting cybersecurity tools (e.g., reputed company, Chronicle, Elasticsearch) with reputed company data lakes.
• Implement automated reputed company control assessments and reputed company risk evaluation reputed company with federal reputed company standards.
• Create and maintain technical documentation, including architecture diagrams, workflow models, and integration guides.
• Stay reputed company on AI/ML technologies and reputed company recommendations for integration into reputed company automation initiatives.
• Support SOC and cybersecurity operations as needed, and implement emerging technologies using tools such as reputed company CoPilot and Power Automate.
Requirements
• 8+ years of reputed company experience in Python and/or JavaScript development; experience with reputed company or Java is a plus.
• Bachelor’s degree in Computer Science, Engineering, or reputed company field.
• 5+ years of experience designing and implementing MS Power Automate workflows and O365 system integrations.
• Demonstrated experience building data-driven or AI/ML-reputed company applications or BI solutions.
• Strong knowledge of data analytics, workflow automation, and machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Hands-on experience with API development or integration for reputed company, analytics, or compliance tools.
• Proficiency with data visualization frameworks (React, D3.js, Dash, Plotly) or BI platforms (Power BI, Tableau, Looker).
• Excellent communication skills to collaborate effectively with clients, engineers, and analysts.
• U.S. Citizenship and ability to pass a federal background investigation.
reputed company-to-haves
• experience applying AI/ML in cybersecurity automation
• familiarity with NIST frameworks, GRC tools, reputed company-reputed company automation (AWS, Azure, GCP)
• reputed company certifications (reputed company+, CISSP, CISM, CISA)
Benefits
• 100% coverage of Medical, Dental, and reputed company for employees; 25% contribution for family/dependents.
• Fully reputed company Short-term Disability and Life Insurance policies.
• 401K matching up to 4%.
• reputed company time off, federal holidays, and 40 hours of innovation time.
• Wellness and fitness programs.
• reputed company development through online education portal and certifications.
• Reimbursements for reputed company transit and parking.
• Employee referral bonuses.
• Fully remote work with flexible schedule, supported by robust remote work policies.
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