Software Developer - Etl

Senior Software Developer, ETL & AI Data Engineering
Location:
Toronto, ON (Hybrid, 3 days onsite per week, near Union Station)Language:
Written and spoken language requirements to be confirmedDuration:
6-month contract, until May 31, 2027About the Opportunity
Are you passionate about building scalable data solutions that power AI and innovation? We're looking for a Senior Software Developer, ETL to design and deliver production-ready data pipelines that support enterprise AI, machine learning, Generative AI, and advanced analytics initiatives.In this role, you'll collaborate with Data Architects, AI/ML Engineers, Data Scientists, and business stakeholders to improve access to trusted data, streamline integrations, and accelerate the delivery of innovative data-driven solutions.What's In It for You
Work on meaningful enterprise AI and Generative AI initiatives using modern cloud technologies.Collaborate with multidisciplinary teams that value innovation, knowledge sharing, and continuous improvement.Enjoy a hybrid work environment with opportunities to strengthen your expertise in enterprise data engineering and AI.Your Responsibilities
You'll design, develop, test, and maintain scalable ETL/ELT pipelines supporting enterprise analytics, AI, and machine learning workloads.You'll build reusable data services and integrations across cloud platforms, databases, APIs, applications, and enterprise systems.You'll prepare structured and unstructured data for feature engineering, model training, inference, and retrieval-augmented generation (RAG).You'll implement established data architecture, modelling, and integration patterns while maintaining data quality, validation, and governance standards.You'll optimize pipeline performance, reliability, monitoring, and scalability while reducing duplication and accelerating data onboarding.You'll collaborate with technical and business teams to translate requirements into production-ready solutions and support deployment, troubleshooting, and documentation.Skills and Qualifications
Significant hands-on experience in data engineering, ETL/ELT development, software development, or enterprise data integration.Advanced Python, SQL, ETL/ELT, API integration, and data transformation skills, supported by strong software engineering practices.Proven experience building production-grade AI/ML data pipelines, including ingestion, feature engineering, training and inference datasets, and RAG/grounding data.Strong knowledge of Azure data platforms, Azure Machine Learning, and Microsoft Foundry/Azure AI Foundry, including ML pipelines, model training, testing, inference, and monitoring.Experience with cloud-based data platforms, databases, enterprise applications, file-based integrations, and modern data engineering frameworks.Understanding of data modelling, metadata, lineage, security, data quality, and governance, with strong analytical, troubleshooting, and collaboration skills.Degree in Computer Science, Engineering, Information Systems, Data/Analytics, or a related field, or equivalent experience.We appreciate the time and effort all applicants invest in their submissions. Please note that only candidates shortlisted for this role will be contacted directly. However, your profile will remain under consideration for future opportunities that align with your experience and career goals.All qualified applicants will receive fair consideration for employment. We welcome individuals of all backgrounds, experiences, and identities including those who identify as women, members of racialized groups, Indigenous Peoples, persons with disabilities, and 2SLGBTQIA+ communities. If you require an accommodation, please review our accessibility policy and reach out to our accessibility officer with any questions. Our human recruiters review all applications and always make the final hiring decision. On occasion, we also use AI-assisted tools to help review applications.
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