Data Conversion Engineer
New
Remote-first work environment with flexible working arrangements across North America.Full-TimeMiddle
Salary not disclosed
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Job Details
- Required Skills
- PythonSQLAgileData AnalysisETLData engineeringPandas
Requirements
- Hands-on experience with Python development (including pandas).
- Strong proficiency in SQL and relational databases.
- Understanding of ETL processes, data migration workflows, and data engineering principles.
- Experience in data extraction, transformation, scripting, or automation.
- Ability to analyze and interpret complex datasets.
- Strong problem-solving skills.
- Ability to work collaboratively in agile, cross-functional teams.
- Excellent communication skills.
- Curiosity and eagerness to learn modern data engineering tools.
- Familiarity with system design or data architecture concepts (asset).
Responsibilities
- Lead and support ETL data migration processes across multiple concurrent utility implementation projects.
- Develop, maintain, and optimize data extraction, transformation, and loading scripts using Python, SQL, and related data engineering tools.
- Analyze and profile complex legacy datasets to support accurate data mapping and migration.
- Ensure high standards of data quality through validation, auditing, and continuous improvement.
- Collaborate with client experience and implementation teams to integrate migrated data.
- Apply feedback to improve performance, reliability, and scalability of conversion workflows.
- Participate in daily standups and team reviews.
- Contribute to documentation, best practices, and process optimization.
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