Base: $61,600.00 - $113,900.00; bonus/equity: not ...
Hybrid
Data ingestion and integration pipelines
Python and rest api development
Microsoft azure and aws services
We accelerate BMO’s AI journey by building enterprise-grade, cloud-native AI solutions that power business innovation across the bank
Job Summary
We accelerate BMO’s AI journey by building enterprise-grade, cloud-native AI solutions that power business innovation across the bank.
This role involves designing reliable, scalable data pipelines and integrating AI services to support production-grade AI solutions with high availability and performance.
BMO offers a comprehensive compensation package including health insurance, tuition reimbursement, and retirement savings plans, and fosters an inclusive, equitable, and accessible workplace.
Matching Summary
We accelerate BMO’s AI journey by building enterprise-grade, cloud-native AI solutions that power business innovation across the bank.
Salary
Base: $61,600.00 - $113,900.00; Bonus/Equity: Not specified; Benefits: Health insurance, tuition reimbursement, accident and life insurance, retirement savings plans
Skills & Requirements
Must-have
Data ingestion and integration pipelines
Python and REST API development
Microsoft Azure and AWS services
ETL/ELT development
CI/CD pipelines with GitHub Actions and Terraform
Data quality and monitoring frameworks
Nice-to-have
Cross-functional collaboration
Automation and reusable code development
Statistical data analysis
Hybrid work environment
AI service integration
Key Requirements
Bachelor Degree in Computer Science or Data Science
2-3 years relevant Data Engineer experience
Experience with generative agent data integration and taxonomy
2+ years ETL/ELT development
Experience with CI/CD pipelines using GitHub Actions and CDK for Terraform