Our partner is looking for a Data Conversion Engineer based in Canada.

Join a fast-growing technology setting focused on modernizing essential utility services through innovative, cloud-native software solutions. As a Data Conversion Engineer, you will play a key role in migrating complex customer and billing data from legacy systems into up-to-date platforms. You will design and maintain reliable ETL processes, ensuring data accuracy, consistency, and quality throughout the migration lifecycle. Working closely with technical teams and client-facing specialists, you will contribute to successful software implementations and seamless customer transitions. This position offers hands-on experience with Python, SQL, data transformation, and automation while developing your data engineering expertise. You will benefit from a collaborative, remote-first culture that encourages continuous learning, technical excellence, and process improvement.

Accountabilities

- Lead and coordinate ETL data migration activities across multiple projects, ensuring efficient workflows, high-quality results, and timely delivery.
- Develop, maintain, and optimize data extraction, transformation, and loading scripts using Python, SQL, pandas, and other relevant engineering tools.
- Analyze and profile source database structures, including relational and non-relational legacy systems, to identify data relationships and establish accurate migration mappings.
- Perform data validation, quality assurance, and conversion audits to ensure migrated information is accurate, complete, consistent, and reliable.
- Identify opportunities to improve migration processes by incorporating feedback from clients and internal stakeholders, enhancing performance, automation,



and overall data quality.
- Collaborate with technical and client experience teams to integrate customer data into modern utility software platforms and support successful implementation and go-live activities.
- Contribute to the development of data migration standards, technical documentation, reusable scripts, and best practices.
- Improve process automation and observability to increase the reliability, efficiency, and scalability of data conversion workflows.
- Participate in daily stand-ups, weekly reviews, and collaborative technical discussions, communicating progress, identifying blockers, and sharing recommendations.
- Work alongside other engineers through knowledge sharing, pair programming, and continuous improvement initiatives.

Requirements

- Experience developing with Python, particularly using the pandas library for data manipulation, transformation, and analysis.
- Practical experience with SQL and relational databases, including querying, analyzing, and validating structured datasets.
- Understanding of ETL methodologies, data migration processes, scripting, and workflow automation.
- Knowledge of system design, database structures, and technical analysis, with the ability to understand complex legacy environments.
- Strong analytical and problem-solving abilities,



with a creative and methodical approach to investigating data inconsistencies and technical challenges.
- Attention to detail and a commitment to delivering accurate, reliable, and high-quality data solutions.
- Ability to collaborate effectively with technical and non-technical stakeholders, communicate progress clearly, and incorporate constructive feedback.
- Strong organizational skills and the ability to manage multiple tasks and project priorities in an iterative environment.
- Curiosity, adaptability, and enthusiasm for learning new technologies, developing engineering practices, and contributing to team success.

Benefits

- Remote-first flexibility: Work remotely with flexible working hours across North America.
- Competitive compensation: Comprehensive total rewards package designed to grow with your experience and contributions.
- Home office equipment: Company-provided MacBook and an $800 allowance to create your ideal home workspace.
- Health and wellness: Comprehensive health, dental, vision, and life insurance coverage from day one.
- Paid time off: Generous paid vacation and unlimited sick days.
- Retirement savings: RRSP matching program for Canadian employees.
- Professional development: Annual $2,500 learning and development budget, tuition assistance, and access to a book reimbursement program.
- Team connection: Annual company-wide events and team offsites to encourage collaboration and strengthen relationships.
- Flexible work environment: Access to hub offices in Charlottetown and Atlanta, alongside a distributed North American team.
- Career growth: Opportunities to develop technical expertise, work on complex data migration projects, and learn from experienced engi

📌 Data Conversion Engineer (Montreal)
🏢 Jobgether
📍 Montreal