Data Conversion Engineer

Team: IT

Location: Canada

Commitment: Full-time

Workplace Type: remote

Accountabilities:

The Data Conversion Engineer will support the successful migration of customer and operational data by building reliable data pipelines, improving conversion processes, and ensuring high-quality results throughout implementation projects.

• Lead and manage ETL migration activities across multiple projects, ensuring accurate, efficient, and timely data delivery.
• Develop and maintain extraction, transformation, and loading scripts using Python, SQL, and related data engineering tools.
• Analyze and profile complex source database structures, including relational and legacy systems, to support effective data mapping and migration.
• Perform data validation and quality assurance activities to ensure completeness, accuracy, and consistency of migrated datasets.
• Implement improvements based on feedback from clients and internal teams to enhance migration performance and reliability.
• Collaborate with technical and client-facing teams to integrate customer data into modern platforms and support successful project launches.
• Contribute to documentation, automation initiatives, process optimization, and data migration best practices.
• Participate in agile team activities, including standups and review sessions, while communicating progress, challenges, and opportunities for improvement.

Requirements:

The ideal candidate is a detail-oriented and analytical data professional with experience in data engineering fundamentals, migration processes, and automation. They should enjoy solving complex problems and collaborating in a fast-paced technical environment.

• Experience developing solutions with Python, including use of the pandas library.
• Strong SQL skills and experience working with relational databases.
• Experience with data migration, ETL processes, scripting, and workflow automation.
• Understanding of system design, data structures, and technical analysis.
• Ability to analyze complex datasets and identify data quality issues.
• Strong problem-solving mindset with curiosity and willingness to learn new technologies.
• Ability to collaborate effectively with technical teams, clients, and cross-functional stakeholders.
• Strong communication skills and attention to detail.
• Experience in utility technology, billing systems, or large-scale data transformation projects is an asset.

Benefits:

• Remote-first work environment with flexible working hours across North America.
• Competitive total rewards package.
• Company-provided MacBook and an $800 allowance to create an ideal home workspace.
• Health, dental, vision, and life insurance coverage from day one.
• Generous paid time off and unlimited sick days.
• RRSP matching program for Canadian employees.
• Annual professional development fund of $2,500, tuition assistance, and learning programs.
• Opportunities for career growth and continuous skill development.
• Company events and team gatherings to strengthen collaboration.