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Data Engineer II (Production Support)
Build and maintain production data pipelines and platforms for a large bank, troubleshooting Databricks jobs and Azure data flows while ensuring data quality and system reliability.
Data Engineer I (Production Support)
Build and maintain production data pipelines in Databricks and Azure, troubleshoot ETL workflows, and ensure data quality for a large Canadian bank.
Data Engineering Student (4 months) - Fall 2026
Build and maintain ETL pipelines and cloud data infrastructure for a large Canadian retailer with financial services, ensuring data quality for analytics and reporting.
Senior Software Developer (Remote)
Build and scale cloud-native archiving systems that ingest massive social-media and enterprise data streams, using Python, Angular, AWS, Kubernetes, and observability tools.
Principal Data Engineer, LLM/AI Platforms (Remote)
Principal Data Engineer builds and scales AI-native data infrastructure for LLM-powered security products, including RAG and agentic systems at Exabyte scale.
Data Engineering Student (4 months) - Fall 2026
Build and maintain ETL pipelines and cloud data infrastructure for large-scale datasets, collaborating with analysts and scientists to ensure data quality and availability.
Data Engineering Student (4 months) - Fall 2026
Build and maintain ETL pipelines, ensure data quality, and support analytics using cloud platforms like Azure and Hadoop for a large Canadian retailer.
Data Engineer II
Designs, builds, and maintains data pipelines and ETL jobs in Azure/Databricks to ingest, model, and govern financial data for reporting and analytics across TD’s platforms.
Big Data Engineer
Designs and builds scalable data pipelines and ETL processes using AWS, Snowflake, Spark, and Python/Scala for a large enterprise.
Senior Data Engineer – Snowflake & GenAI
Design and build scalable Snowflake-based data pipelines, migrate ETL workloads from Informatica, and integrate GenAI features to power analytics and automation for enterprise clients.
Data Engineer
Build and scale data pipelines and models for Lyft’s Safety and Customer Care team, enabling real-time insights and AI agent performance tracking using Spark, Python, and SQL on AWS.
Associate, Data Engineer
Build and maintain scalable data pipelines and cloud-native platforms to power AI and analytics for investment banking and global markets using Spark, Kafka, and cloud services.
Senior Data Engineer
Build and own Flinks’ data and ML platform: pipelines, warehousing, model serving, and governance that power financial insights and payments for banks and fintechs across North America.
Data Engineer I
Build and maintain secure, high-performance ETL pipelines on Azure Databricks and Data Factory that ingest financial data, shape it into trusted assets, and expose curated products for analytics and AI across TD Bank.
Senior Data Engineer - (Python/Spark/SQL)
Build and scale resilient data pipelines and analytics platforms using Python, Spark, and SQL to support high-volume reporting and data-driven decisions for enterprise clients.
Senior Software Engineer, Agentic AI
Build and deploy AI-driven features and agentic workflows using Python, ML frameworks, and cloud tools to power scalable content technology products.
Senior Software Engineer / Software Developer (React Native)
Build cross-platform mobile apps for PlayStation using React Native, optimizing performance and integrating native modules to enhance gamer experiences.
Software Engineer II (AI Integration)
Build and deploy AI/ML systems for banking, including LLM pipelines, model fine-tuning, and real-time microservices using Python, cloud platforms, and MLOps tools.
Software Engineer III (AI Integration)
Build and deploy AI/ML systems for banking, including LLM pipelines, fine-tuning, and real-time microservices, using Python, cloud platforms, and MLOps tools.
Machine Learning Engineer/Senior Machine Learning Engineer - Evisort
Build and deploy AI models (LLMs, graph neural networks) to power contract intelligence and document automation for enterprise customers using PyTorch/TensorFlow and cloud platforms.