Data & Model Operations Engineer

About the role

The Data & Model Operations team at Credigy sits at the intersection of data engineering, governance, and model lifecycle integration, building the infrastructure that makes our analytical workflows reliable, auditable, and ready for production at scale.

Responsibilities

• Design and implement Informatica Taskflows integrated with ELT processes to unify data and model operations into governed, end-to-end workflows.
• Build and maintain data governance capabilities including enterprise glossary management, technical asset association, metadata extraction, data lineage, and automated data profiling and quality checks.
• Integrate model execution, scoring, monitoring, and reporting into scalable production workflows.
• Support credit risk model lifecycle processes, including data preparation, validation, deployment, and model refresh activities.
• Partner with deal, analytics, and engineering teams to deliver auditable, production-ready data and model solutions.
• Contribute to AI-driven initiatives that enhance data governance, pipeline operations, and workflow automation.

Requirements

• 2+ years of relevant full-time experience in data engineering, analytics, data governance, or ModelOps-related roles.
• Strong SQL skills and hands-on experience with Snowflake or similar cloud data platforms.
• Programming experience in Python, SAS, or R.
• Experience working with large datasets, analytical workflows, and pipeline orchestration.
• A Bachelor’s degree in a quantitative field such as Computer Science, Data Science, Statistics, Mathematics, or Engineering — or equivalent experience.

Preferred

• Experience with credit risk models or model lifecycle processes.
• Hands-on experience with machine learning models and familiarity with MLOps concepts, including model training, testing, deployment, and monitoring.
• Experience with data governance, lineage, profiling, or catalog tools (e.g., Informatica CDGC).
• Exposure to dbt, APIs, CI/CD, Docker, workflow orchestration, or reusable ELT frameworks.
• Comfort with AI-assisted development tools such as GPT, Claude, or Informatica Claire AI — or a strong desire to develop that fluency.
• A Master’s degree in a quantitative field is a plus.

Benefits

Credigy offers a comprehensive benefits package including medical, dental, and vision coverage through Cigna — with Credigy covering a significant portion of premiums — plus STD, LTD, and basic life insurance at no cost to you. You’ll also have access to a 401(k) with company match, generous PTO, paid parental leave, volunteer time off through Credigy Cares, and a range of workplace perks designed to support how you work best — from a thoughtfully equipped office environment to the technology and tools that help you do your best work.

Pay

Compensation is competitive and commensurate with experience.

Schedule

This role is full-time.