Senior Data Engineer – Generative AI

Astyra Corporation is seeking a Senior Data Engineer – Generative AI for a hybrid role based in Richmond, VA. In this position, you will build a data reconciliation solution that compares information between legacy and modernized platforms, combining core data engineering with hands-on work in Generative AI.

The work focuses on detecting discrepancies and nuanced differences across large datasets, while also integrating agentic and workflow-based components using modern AI frameworks and Model Context Protocol (MCP).

What you’ll do

• Design and develop a data reconciliation utility to compare data across legacy and modernized platforms
• Create solutions that identify data discrepancies, patterns, anomalies, and nuanced differences across large datasets
• Use Generative AI, pattern matching, regex, and related techniques to improve data comparison and reconciliation
• Build hands-on implementations using Python and modern Generative AI frameworks
• Integrate with and consume services via Model Context Protocol (MCP)
• Develop agentic or workflow-based solutions using LangGraph
• Collaborate with senior engineers and architects to design and accelerate development of the reconciliation platform
• Deliver scalable, maintainable data engineering solutions that support broader modernization initiatives
• Support data validation, testing, troubleshooting, and production implementation
• Contribute to ongoing data engineering initiatives as the reconciliation solution matures

Skills and experience

• 7+ years of experience in data engineering, software engineering, or a related technical discipline
• Strong hands-on background in data engineering
• Demonstrated experience building solutions using Generative AI
• Strong Python development skills
• Hands-on experience with LangGraph or similar agentic AI frameworks
• Experience working with Model Context Protocol (MCP), including consuming MCP services
• Experience building solutions involving data comparison, reconciliation, pattern detection, or data validation
• Strong understanding of data processing and transformation concepts
• Experience developing production-quality solutions within modern CI/CD environments
• Strong problem-solving skills and the ability to work independently in a hands-on engineering role

Preferred qualifications

• Experience supporting large-scale technology or data modernization initiatives
• Experience in financial services or other highly regulated environments
• Experience developing AI-enabled data engineering utilities or automation solutions
• Familiarity with Spark or other distributed data-processing technologies
• Previous experience in a large enterprise engineering environment

Technologies

• Python
• LangGraph
• Model Context Protocol (MCP)
• Generative AI
• regex
• CI/CD

Compensation and location

• Salary: USD 66 - 71 per hour
• Location: Richmond, VA 23238
• Work model: Hybrid remote in Richmond, VA 23238
• Minimum experience: 7 years

Benefits

• 401(k)
• Dental insurance
• Health insurance
• Vision insurance