Build utility data pipelines with Python and SQL at SpryPoint, working remotely across North America from a remote-first environment. Transform legacy billing data for up-to-date platforms.
As a Data Conversion Engineer, you will support utility data transformation and migration within Technical Services. You will use Python, pandas, SQL, and relational databases while developing foundations in conversion auditing and process optimization. The work supports accurate, reliable integration into SpryPoint products and smooth go-live processes.
Key Responsibilities: Lead ETL migrations across multiple concurrent utility projects
Develop extraction, transformation, and loading scripts
Review datasets for accuracy, completeness, and consistency




Profile legacy relational and non-relational database schemas
Improve migration automation, documentation, and observability
Requirements: Development experience with Python and pandas
Development experience with SQL and relational databases
Experience with data migration and ETL processes
Experience with process scripting and automation
Understanding of system design and analysis
Apply Python, pandas, SQL, and data migration skills to modernize utility billing systems at SpryPoint.

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📌 Data Migration Engineer Python SQL (Ontario)
🏢 SpryPoint
📍 Ontario