Senior Software Developer- Data Delivery

Jobgether·Lever
CanadaFull-timePosted Jul 1, 2026
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This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Developer – Data Delivery based in Canada.

This role sits within a high-performing data engineering team focused on building scalable, production-grade data products that power analytics and customer-facing insights. You will design and operate robust cloud-based data pipelines that ensure reliable, high-quality data delivery across multiple applications and services. The position involves working in a collaborative, global engineering environment where data is treated as a core product. You will contribute to architectural decisions while also staying hands-on with implementation. The role blends backend engineering, distributed systems, and data modeling at scale. You will also help improve engineering standards and mentor other developers while supporting continuous delivery practices. This is a strong opportunity for someone who enjoys solving complex data challenges with real product impact.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Developer – Data Delivery based in Canada.

This role sits within a high-performing data engineering team focused on building scalable, production-grade data products that power analytics and customer-facing insights. You will design and operate robust cloud-based data pipelines that ensure reliable, high-quality data delivery across multiple applications and services. The position involves working in a collaborative, global engineering environment where data is treated as a core product. You will contribute to architectural decisions while also staying hands-on with implementation. The role blends backend engineering, distributed systems, and data modeling at scale. You will also help improve engineering standards and mentor other developers while supporting continuous delivery practices. This is a strong opportunity for someone who enjoys solving complex data challenges with real product impact.

Accountabilities

    In this role, you will be responsible for building and maintaining scalable, secure, and high-performing data systems that support analytics and product needs.

    • Design, develop, test, and operate cloud-based data pipelines, data services, and data delivery workflows supporting large-scale data processing.
    • Build and maintain analytics-ready and AI-ready datasets through strong data modeling, metadata management, documentation, and governed access patterns.
    • Contribute to the design of distributed data systems with a focus on performance, scalability, resiliency, cost efficiency, and security.
    • Implement production-grade software using modern engineering practices such as CI/CD, automated testing, code reviews, and observability.
    • Improve reliability and data quality through monitoring, alerting, logging, and proactive production support practices.
    • Collaborate with cross-functional stakeholders including product, design, architecture, and engineering teams to deliver incremental value.
    • Mentor and support other engineers through technical guidance, code reviews, and collaborative design discussions.
    • Requirements

      The ideal candidate brings strong data engineering expertise combined with solid software development fundamentals and a collaborative mindset.

      • Minimum 5+ years of professional experience in data engineering or related roles.
      • Strong experience building and operating production-grade data pipelines or distributed cloud-based systems.
      • Solid understanding of data architecture, data modeling, storage systems, and transformation frameworks.
      • Experience with batch and/or streaming data processing, event-driven architectures, and messaging systems.
      • Proficiency in at least one backend/data language such as Python, Java, Scala, Kotlin, Go, or TypeScript.
      • Strong SQL skills, including query optimization and designing datasets for analytics or product use cases.
      • Experience with observability practices for data systems, including monitoring, logging, and data quality tracking.
      • Ability to work independently, break down ambiguous problems, and deliver high-quality solutions.
      • Strong communication skills with the ability to explain technical decisions to both technical and non-technical stakeholders.
      • Preferred: experience with AWS, data orchestration tools, lakehouse/warehouse architectures, and AI/ML-ready data preparation.
      • Benefits

        • Competitive base salary ranging from $107,000 to $157,300 CAD, depending on experience and location.
        • Annual bonus eligibility and potential additional compensation components (e.g., stock grants or commissions where applicable).
        • Comprehensive health, dental, and vision insurance coverage.
        • Flexible remote or hybrid work arrangements across Canada.
        • Opportunities for professional growth, mentorship, and continuous learning.
        • Inclusive and collaborative work culture focused on innovation and belonging.
        • Access to modern tools, cloud infrastructure, and large-scale data engineering challenges.
How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1

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