Data Engineers (AI Governance)

Location: Jacksonville, FL, United States; hybrid with onsite work Tuesday–Thursday

Company

hirify.global builds financial technology that helps businesses, banks, and communities move, manage, and grow money.

What you will do

• Design, develop, and maintain scalable backend data pipelines, integrations, and data platforms for AI governance and analytics.
• Consolidate and transform data from multiple enterprise sources into trusted, governed datasets.
• Establish data lineage, data flows, ownership, stewardship, and accountability models.
• Implement data quality controls, monitoring, observability, validation, reconciliation, and audit capabilities.
• Develop metadata management and data access governance processes, including automated controls and permissions monitoring.
• Collaborate with AI, machine learning, analytics, business, technology, and governance teams to support model development and operational use cases.

Requirements

• Experience as a Data Engineer, Data Platform Engineer, Data Integration Engineer, or similar role supporting large-scale data environments.
• Strong experience building and supporting backend data pipelines using modern data engineering practices, including integration, transformation, cleansing, and consolidation across multiple sources.
• Strong understanding of data governance, data quality, metadata management, and data lifecycle management.
• Experience establishing and documenting data lineage, data flows, and data dependencies.
• Proficiency with SQL and data modeling concepts in enterprise data environments.
• Experience with cloud-based data platforms, data warehouses, and data lake architectures.
• Knowledge of data security, access management, and governance principles.
• Strong analytical, troubleshooting, and problem-solving skills with exceptional attention to detail.
• Commitment to creating high-quality, trusted, and well-governed data products.

Nice to have

• Experience supporting AI, machine learning, or responsible AI governance programs.
• Familiarity with data catalog, metadata management, data lineage, or data observability platforms.
• Experience implementing enterprise data quality and monitoring frameworks.
• Experience in financial services, fintech, payments, banking, or highly regulated industries.

Culture & Benefits

• Hybrid work arrangement with onsite attendance Tuesday–Thursday.
• Internal career growth and professional and personal development opportunities.
• Opportunities to innovate in fintech and contribute to the community.
• Inclusive and diverse team atmosphere.
• Current and future visa sponsorship are not available.
• US positions require a drug test after a conditional offer.