AI & Data Solutions Engineer/ Migration Engineer (Python/R/SAS/VBA)
Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Oct 23, 2026. CPjobs scores A on the Alion truth index.
Key Responsibilities:
Analyze existing business workflows, applications, and operational processes with stakeholders to identify improvement opportunities and design modernized solutions.
Review and interpret legacy systems developed in SAS, Python, R, VBA, and other technologies to understand business logic, data dependencies, and processing requirements.
Migrate legacy applications and programs to modern platforms while ensuring business continuity, functional accuracy, and data integrity.
Design, develop, and automate data processing workflows using Python, R, workflow automation tools, and AI Agent technologies.
Develop reports, dashboards, and data integration solutions utilizing ETL/ELT processes, data virtualization, and modern reporting tools.
Leverage AI-assisted development tools for code analysis, conversion, documentation, testing, and productivity enhancement.
Collaborate with business users, data engineering teams, and infrastructure teams to gather requirements, resolve migration challenges, and ensure successful project delivery.
Document existing application logic, conversion methodologies, technical designs, system architecture, and operational procedures.
Support system deployment, troubleshooting, user acceptance testing, and knowledge transfer activities to facilitate smooth transitions to new platforms.
Participate in application design reviews, code reviews, architectural discussions, and continuous improvement initiatives.
Job Requirements:
Bachelor's degree or above in Computer Science, Information Technology, Data Science, Software Engineering, or a related discipline.
Minimum 4 years of hands-on experience in software development across both front-end and back-end technologies.
Strong programming skills in Python, R, SAS, VBA, SQL, and related development frameworks. (Must) )
Proven experience in application migration, system modernization, code conversion, and data processing projects.
Experience analyzing, maintaining, and transforming legacy applications while preserving business functionality is highly preferred.
Solid experience working with relational databases, data warehousing, and data integration solutions.
Hands-on experience with ETL/ELT processes, reporting tools, and data virtualization technologies Is an advantage
Familiarity with workflow automation platforms, version control systems (e.g., Git), and DevOps practices will be an advantage
Knowledge of AI technologies, AI-assisted development tools, or AI-driven workflow solutions will be an advantage.
Understanding of infrastructure architecture, virtualization technologies, and containerization platforms (e.g., Docker, Kubernetes) is preferred.
Proven ability to work effectively in cross-functional teams and engage in technical discussions, code reviews, and system design activities.