Senior Data Engineer - Generative AI in Richmond

Job DescriptionJob Description

Astyra’s client is seeking a hands-on Senior Data Engineer with strong Generative AI experience to help build a data reconciliation solution supporting a large-scale technology modernization initiative. This role will combine traditional data engineering with modern AI capabilities to identify, analyze, and reconcile data between legacy and modernized platforms.

The ideal candidate is a strong data engineer who has expanded into Generative AI and has hands-on experience building production solutions using Python, LangGraph, MCP, and related AI technologies.

What You’ll Do

• Design and develop a data reconciliation utility that compares data across legacy and modernized platforms

• Build solutions to identify data discrepancies, patterns, anomalies, and nuanced across large datasets

• Apply Generative AI, pattern matching, regex, and other techniques to improve data comparison and reconciliation

• Develop hands-on solutions using Python and modern Generative AI frameworks

• Integrate with and consume services through Model Context Protocol (MCP)

• Build agentic or workflow-based solutions using LangGraph

• Partner closely with senior engineers and architects to design and accelerate development of the reconciliation platform

• Develop scalable, maintainable data engineering solutions supporting broader modernization initiatives

• Participate in data validation, testing, troubleshooting, and production implementation

• Contribute to broader data engineering initiatives as the reconciliation solution matures

What We’re Looking For

• 7+ years of experience in data engineering, software engineering, or a related technical discipline

• Strong hands-on data engineering background

• 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 developing 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 ability to work independently in a hands-on engineering role

Qualifications

• Experience supporting large-scale technology or data modernization initiatives

• Experience within 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

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