Astyra Corporation is hiring a Senior Data Engineer – Generative AI for a hybrid role based in Richmond, VA. This position focuses on building a data reconciliation solution that compares information across legacy and modernized platforms, combining strong data engineering with hands-on Generative AI development using Python, LangGraph, and Model Context Protocol (MCP).
As part of the team, you will design and deliver scalable, maintainable utilities that support broader modernization efforts, including production validation, troubleshooting, and testing. The work is collaborative with senior engineers and architects as the reconciliation platform evolves.
Responsibilities
- Design and build a data reconciliation utility to compare data between legacy and modernized platforms
- Create solutions to detect data discrepancies, patterns, anomalies, and nuanced differences across large datasets
- Use Generative AI alongside pattern matching, regex, and other techniques to improve data comparison and reconciliation
- Develop hands-on solutions with Python and modern Generative AI frameworks
- Integrate with and consume external services through Model Context Protocol (MCP)
- Build agentic or workflow-based solutions using LangGraph
- Partner with senior engineers and architects to design and accelerate development of the reconciliation platform
- Implement scalable, maintainable data engineering solutions supporting modernization initiatives
- Support data validation, testing, troubleshooting, and production implementation
- Contribute to broader data engineering efforts as the reconciliation capability matures
Requirements
- 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 delivering production-quality solutions within modern CI/CD environments
- Strong problem-solving skills and ability to work independently in a hands-on engineering role
Technologies
Python, LangGraph, Model Context Protocol (MCP), Generative AI, regex, CI/CD
Benefits
- 401(k)
- Dental insurance
- Health insurance
- Vision insurance
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 within a large enterprise engineering environment
Location: Richmond, VA 23238 (Required)
Work Location: Hybrid remote in Richmond, VA 23238
Compensation: USD 66 - 71 per hourly
Experience: Data engineering (Required): 7 years
