Data Engineer, Technology Risk
Analytics
Artificial Intelligence
Automation Developer
Business Analytics
Business Intelligence
Cloud Platform
Cloud Platforms
Cloud Risk Analysis
Data
Data Analysis
Data Analytics
Data Analytics Tools
Data Engineer
Data Engineering
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Visualization
Database
Databases
Digital Marketing
Engineer
Enterprise Risk
Enterprise Risk Management
Hr Technology
Information Technology (IT)
Machine Learning Engineer
Microsoft
Microsoft Power Platform
Power BI
Power Platform
Programming
Programming Language
Programming Languages
Reporting and Analytics
Risk & Compliance
Risk Analytics
Software Development
SQL
Visual Design
Job Description
Build and operate automated technology risk data capabilities for the Enterprise Risk team, translating risk signals into reporting for senior leadership.
Responsibilities
- Design, implement, and maintain structured technology risk registers.
- Ensure technology risk register practices align with enterprise risk frameworks and regulatory expectations.
- Monitor and evaluate emerging technology risks, including AI, cloud, third-party, and cybersecurity.
- Collaborate with stakeholders to assess impact and mitigation strategies.
- Build and maintain infrastructure that supports automated risk analysis and risk reporting.
- Develop scripts and tools to streamline data collection, processing, and visualization using Python, AI agents, LLMs, SQL, C++, and Shell Scripting.
- Define, track, and report key performance indicators and key risk indicators.
- Create dashboards and visualizations to communicate risk insights to senior leadership.
- Partner with internal clients across technology, operations, and compliance teams.
- Translate complex technical risk topics into actionable business insights.
- Use modern technologies, including Python, AI agents, and large language models (LLMs), to address risk analytics needs.
- Stay current on industry trends and emerging tools to enhance risk analytics capabilities.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
- 2+ years of experience in technology risk, data engineering, IT Audits, DA Audits, or related roles.
- Strong understanding of technology risk domains including cybersecurity, cloud, and data privacy.
- Experience in DevOps, responsible for infrastructure components supporting production, POC, and UAT environments.
- Python proficiency with experience in data automation and analytics.
- Ability to write and review code across multiple programming languages.
- Familiarity with AI/ML tools and LLMs for risk analysis.
- Proven experience setting up cloud infrastructure on AWS, Azure, or GCP.
- Experience with data visualization tools such as Power BI and Tableau.
- Experience with GitHub for automated code deployments.
- Experience with CI/CD pipelines to automate workflows that build, test, and deliver software updates.
- Excellent interpersonal and communication skills with ability to work cross-functionally.
- Strong analytical and problem-solving abilities.
Preferred Knowledge and Experience
- Experience in financial services or market data environments.
- Knowledge of regulatory frameworks including NIST, ISO 27001, and FFIEC.
- Experience with risk management platforms or GRC tools.
- Experience in audit and risk management roles.
- Master’s Degree in Data Analytics (a plus).
Technologies
- Python, AI agents, LLMs, SQL, C++, Shell Scripting
- Power BI, Tableau
- GitHub
- CI/CD pipeline
- AWS, Azure, GCP
- AI/ML tools
Location: Atlanta, GA (onsite)
Experience level: 2+ years
Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field
Similar Jobs
