AI/Data Engineer (Data Reconciliation Utility Development)
Major financial services company · San Francisco, CA 94103
- Location
- San Francisco, CA 94103 · Onsite
- Salary band
- $73 – $73/hr
- 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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