IT Data Engineer IV (AI/ML)

Location: Winter Haven, Florida, United States

Salary: $87,282–$139,425 annually

Company

hirify.global is a financial services institution with community roots that provides banking solutions and supports customers across the South and beyond.

What you will do

• Architect and deliver scalable enterprise data platforms, Snowflake solutions, dbt transformation frameworks, and analytical data products.
• Build reliable data pipelines using SQL, Python, Snowflake, dbt, orchestration tools, and modern data integration technologies.
• Establish standards for CI/CD, automated testing, observability, documentation, metadata management, security, and data governance.
• Partner with business stakeholders, data owners, architects, compliance teams, and technology groups to translate requirements into production data solutions.
• Resolve complex production, performance, and data quality issues while improving monitoring and operational reliability.
• Provide technical leadership, conduct architecture and design reviews, mentor engineers, and support AI/ML and advanced analytics initiatives.

Requirements

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field, or equivalent experience.
• 8–10+ years of progressive data engineering experience, including at least 3 years in a senior or lead technical capacity.
• 5+ years of hands-on experience with Snowflake, dbt, SQL, and Python in production data engineering environments.
• Experience with data modeling, performance tuning, security and access patterns, CI/CD, testing, monitoring, metadata management, and production support.
• Experience with cloud data platforms, lakehouse architecture, streaming, orchestration, Docker, Kubernetes, and data observability.
• Experience designing AI/ML data infrastructure, including feature stores, MLOps pipelines, LLM-based processing, semantic search, embeddings, or RAG workflows.

Nice to have

• Master’s degree in a relevant technical discipline.
• Experience in banking, financial services, or another regulated industry.
• Cloud data platform, Snowflake, or dbt certification.
• Experience with vector databases, data mesh, streaming platforms, and cataloging tools such as Collibra, Alation, Atlan, or Monte Carlo.

Culture & Benefits

• Work is performed in a typical office environment when the position reports to a physical company location.
• Remote or hybrid arrangements require a secure, distraction-free workspace and reliable cable or fiber internet connection.
• Hybrid employees report to a physical company location as directed by the manager.
• Reasonable accommodations are available for individuals with disabilities.