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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.
Intermediate Data Engineer
Build and maintain scalable data pipelines in Azure, using Data Factory, Databricks, Synapse, and Data Lake to feed analytics and BI workloads.
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.
Data Engineer: OpenShift, Snowflake & Databricks
Designs and maintains data pipelines for banking analytics using Snowflake, PySpark, and SQL, ensuring scalable, secure solutions and governance.
Hybrid Data Engineer Specializing in Azure and Databricks Development
Build and maintain Azure-based data pipelines and warehouses using Databricks and Synapse to power analytics and reporting for data-driven applications.
Data Engineer
Build and maintain cloud data pipelines and ETL processes using PySpark, Databricks, SQL Server, and AWS to power BI and reporting for utility, insurance, and government clients.
Senior Data Engineer: Build and Scale Innovative Data Solutions
Build and scale scalable ETL/ELT pipelines on Databricks (AWS) using Python, SQL, and PySpark to process large production datasets and optimize data integrity.
Jr.Gen AI Engineer
Build and deploy agentic AI applications, RAG systems, and AI agents using Python, LLMs, and Google Cloud tools like Vertex AI and Databricks.
Data Engineer / Data Architect & Software Developer — Azure / Databricks
Build and scale a cloud data platform for Ontario’s energy sector using Azure, Databricks, and Python/SQL to design pipelines, models, and AI apps within a governed enterprise environment.
Data Engineer
Design and build Microsoft Fabric data lakes and an enterprise data warehouse, integrating ERP data to power analytics and reporting for a university.
Principal Data Engineer – Databricks
Principal Data Engineer designs and migrates enterprise data platforms to Databricks, building scalable Lakehouse architectures, PySpark pipelines, and finance-focused data models for reporting and risk analytics.
Senior AI Data Scientist
Build, deploy, and optimize ML and agentic AI models to personalize client experiences and improve decisions at a modern bank, using Python, PySpark, TensorFlow, and Databricks in a regulated environment.
Python Data & Machine Learning Engineer
Build and deploy Python-based data pipelines and ML models for financial services, using Spark, TensorFlow, and SQL to analyze risk and support decision-making.
AI and Data - Data Architect - Healthcare
Design and lead enterprise-scale healthcare data platforms with agentic AI, integrating streaming pipelines, FHIR standards, and cloud-native tools like Kafka and Dataflow.
Senior Data Engineer – 6 month contract
Build and maintain secure data pipelines using Microsoft Fabric, Azure Data Factory, and PySpark, ensuring compliance with financial regulations and integrating sensitive systems.
Senior Data Developer (AI/ML)
Build and maintain the data pipelines and tooling that feed AI/ML services for a cloud-based healthcare platform, enabling model development, deployment, and monitoring at scale.
Principal Databricks Data Engineer
Principal Data Engineer leading the migration from Cloudera to Databricks, building scalable Lakehouse architectures for finance and risk analytics using PySpark, Delta Lake, and Medallion patterns.
Machine Learning Engineer III / Senior Machine Learning Engineer - AI Platform
Build and optimize AI agents, semantic search, and Text-to-SQL systems using LLMs and RAG for Workday’s enterprise suite, scaling solutions to 31M users.
Lead Data Engineer / Data Platform Lead
Lead a team to design and build scalable data pipelines on Hadoop/Databricks and cloud platforms, enabling analytics and GenAI/LLM-ready data ingestion for enterprise clients.
Lead Azure Data Engineer (contract)
Lead a team to design and maintain Azure-based data pipelines using ADF, Databricks, and PySpark, ensuring scalable ETL/ELT and robust data governance for analytics and AI teams.