AI/Data Engineer
Major financial services company · Capital One people center locations (onsite)
- Location
- Capital One people center locations (onsite) · Onsite
- Salary band
- Band not stated
- Type
- Contract
- Level
- Senior
- Work authorization
- Not stated
Stack
Python · Data Engineering · LangGraph · MCP services · GenAI · Prompt Engineering · CI/CD · Data Reconciliation · AI · Pattern Recognition · Data Validation
About the role
Job Title: AI/Data Engineer (Data Reconciliation Utility Development) Location: must be co-located at [contact hidden] of [contact hidden]'s people center locations. (onsite) Duration: 1 year contract with possibility for extension Job Description: Our team is seeking a highly skilled AI/Data Engineer to support enterprise modernization initiatives through the development of AI-powered data reconciliation solutions. This role is ideal for a hands-on engineer who combines strong data engineering fundamentals with practical experience leveraging GenAI technologies. You will help build a reconciliation utility designed to compare legacy and target system data, identify discrepancies, and generate actionable reporting using modern AI-driven approaches. Responsibilities * Design and develop AI-powered data reconciliation utilities supporting enterprise modernization efforts. * Compare data across legacy and target platforms to identify discrepancies and inconsistencies. * Leverage AI techniques, prompt engineering, and pattern recognition to detect complex data mismatches. * Develop scalable Python-based solutions for reconciliation and reporting. * Build and maintain CI/CD pipelines supporting application delivery. * Collaborate closely with architects and senior technical leaders on solution implementation. * Contribute as a hands-on individual contributor within a fast-paced engineering team. * Support data validation, quality assurance, and modernization initiatives across the organization. Required Qualifications * 7+ years of professional software engineering or data engineering experience. * Strong hands-on Data Engineering experience. * Experience with LangGraph. * Experience consuming MCP services. * Experience working with GenAI tools and solutions. * Prompt Engineering expertise. * Advanced Python development experience. * Experience implementing CI/CD practices and pipelines. * Strong problem-solving and analytical skills. * Ability to learn new technologies and adapt quickly in a fast-moving environment. Preferred Qualifications * Previous [contact hidden] experience. * Experience combining Data Engineering and GenAI engineering. * Experience building AI-driven data validation, reconciliation, or automation solutions. * Experience supporting large-scale modernization initiatives. Team & Environment * Team of approximately 11 engineers. * Focused on data engineering and modernization initiatives. * Collaborative environment partnering closely with architects and senior technical contributors. * Hybrid work model with preference for candidates located near a [contact hidden] campus. Additional Information * [contact hidden]-round interview process (60 minutes). * Strong preference for hands-on builders and engineers rather than people managers or technical leads. * Java experience is not required; Python expertise is significantly more important.
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