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 contemporary 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.