Senior Engineer- Data Services

Element employees make a difference in the lives of others every day. We are re-defining the fleet management industry to be people first, then business – delivering on our promise of a superior client experience. This takes hard work and innovation, and we need more like-minded people on our team.

About the Role

We are looking for a Senior Engineer- Data Services to lead the solutioning, design, development, implementation, and support of scalable data solutions. This role supports enterprise platforms, customer onboarding, business operations, and strategic technology initiatives. It provides technical direction across ETL development, data integration, transformation, validation, replication, and production support. The role ensures data solutions are reliable, maintainable, efficient, and aligned with enterprise standards.

What You’ll Do

• Lead the design, development, testing, implementation, and support of ETL jobs based on project requirements, client onboarding needs, and business specifications.

• Provide technical direction for scalable data integration solutions that support onboarding, transformation, validation, replication, reconciliation, and downstream consumption.

• Translate business and functional requirements into reliable, maintainable, and production-ready data service solutions aligned with enterprise standards.

• Lead the development, enhancement, and maintenance of Talend jobs, reusable Talend components, mappings, and job frameworks to improve consistency, efficiency, and maintainability.

• Lead SQL optimization and ETL performance tuning efforts to reduce processing times, improve job efficiency, strengthen data quality, and increase operational reliability.

• Provide technical leadership for data replication and synchronization between mainframe systems and distributed databases, ensuring completeness, accuracy, timeliness, and auditability.

• Manage technical execution by coordinating deliverables, tracking dependencies, identifying risks, resolving roadblocks, and escalating issues when needed.

• Lead technical design reviews, code reviews, peer programming, requirement analysis, testing strategy, and release readiness activities to ensure high-quality delivery.

• Partner with business, onboarding, product, engineering, QA, operations, and leadership teams to clarify requirements, resolve data questions, and support successful delivery of data services initiatives.

• Drive continuous improvement by standardizing processes, automating manual tasks, improving reusable frameworks, modernizing data services, and increasing scalability across distributed systems.

Basic Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Engineering, or a related technical field.

• 8+ years of progressive, hands-on experience in Data Engineering, ETL development, data integration, and production data services in enterprise environments.

• Strong hands-on expertise with ETL tools such as Talend and TCVision, including design, development, testing, deployment, monitoring, and support of ETL workflows.

• Proven experience leading the solutioning, design, and implementation of scalable data integration solutions for onboarding, transformation, validation, replication, and downstream consumption.

• Extensive SQL development, data analysis, data validation, reconciliation, and performance optimization experience using PostgreSQL or similar relational/distributed databases.

• Strong analytical, problem-solving, communication, stakeholder engagement, Agile, DevOps, and CI/CD capabilities, with the ability to influence cross-functional teams and leadership stakeholders.

Preferred Qualifications

• Experience with cloud data platforms such as AWS, Snowflake, or Redshift.

• Hands-on experience with Python for data processing, automation, scripting, or operational support.

• Knowledge of AWS data services such as S3, Athena, DMS, EC2, and CloudWatch.

• Experience with DevOps tools such as Git, Jira, Nexus, automated build/deployment tools, and CI/CD pipelines.

• Experience standardizing ETL frameworks, improving reusable components, automating manual processes, and modernizing enterprise data services.

Location Toronto, ON

The hiring base salary range for this position is $99,200- $136,400  annually. Actual compensation within this range will be dependent upon the individual’s knowledge, skills, experience, equity with other team members, and alignment with market data. Please note that the disclosed salary range is solely for candidates hired to perform work within this geographic location. Candidates hired to work in other locations will be subject to the pay range associated with that location.

What’s in it for You
•  A culture of innovation, empowerment, decision-making, and accountability
•  Comprehensive health and welfare benefits that serve the needs of you and your family and foster a culture of wellness (for qualified roles)
•  Additional benefits and amenities, including paid time-off programs (vacation, sick leave, and holidays) (for qualified roles)

Applicants will be required to undergo a background check only if and after a conditional offer of employment has been extended.

Element Fleet Management and its wholly owned subsidiaries are an equal opportunity employer committed to diversity, equity, inclusion, and belonging. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, genetic information, sex, gender identity, sexual orientation, age, marital status, family status, ancestry, national origin, citizenship, physical or mental disability, veteran status, military obligations or any other characteristic protected by federal, state and local laws. Disability-related accommodations during the application and interview process are available upon request. Should you require an accommodation with our hiring process please send an email to [email protected] or call (800) 665-9744. Element Fleet Management also uses AI-assisted tools to help screen and assess applications. These tools analyze information you provide (for example, your rēsumē and screening responses) to identify job-related skills, qualifications, and experience. AI outputs do not by themselves determine whether you advance or receive an offer – they assist recruiters and hiring managers. Final hiring decisions are made by people.