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Senior Data Engineer
Design and build scalable data pipelines and modern data platforms on Azure for enterprise clients, focusing on ETL/ELT, data modeling, and analytics to support AI and business intelligence initiatives.
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.
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.
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.
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.
Senior Back-End / Data Engineer – Innovation team
Build and own the data pipelines, ML feature stores, and inference APIs that power renewable-energy analytics at scale, integrating forecasts into a SaaS platform for wind, solar, hydro, and storage assets.
Azure Data Engineer
Designs and builds scalable Azure-based data pipelines and analytics solutions using Databricks, Data Factory, and Java/Python microservices.
Mining Data Engineer with Databricks Focus
Build and optimize Databricks-based data pipelines for mining analytics, ensuring data integrity and enabling self-service access across South American teams.
Tech Lead Databricks Data Engineer
Lead the design and maintenance of Databricks-based ETL pipelines and data models for a fintech platform, transforming raw financial data into insights for investors and AI workloads.
Lead Data Engineer, (Global Security)
Lead a team of data engineers to build and maintain scalable data pipelines and analytics platforms for RBC Global Security, using PySpark, Databricks, Delta Lake, and Azure.
Associate Director, Principal Data Engineer
Design and deliver large-scale data pipelines and ML workflows on Databricks for RBC Capital Markets, using Spark, Delta Lake, and MLflow to power financial systems.
Senior Data Engineering Architect - Databricks & Spark
Designs and builds scalable data platforms on Databricks and Spark for RBC Capital Markets, leading POCs to production for financial workflows.
Principal Data Engineer (Azure)
Principal Data Engineer builds and scales Azure-based data pipelines, lakes, and analytics platforms using Databricks, PySpark, and Azure services to deliver governed data solutions for clients.
Lead Data Engineer, (Global Security)
Lead a team of data engineers to build scalable pipelines (PySpark, Databricks, Delta Lake) that turn security data into actionable intelligence for enterprise decision-making.
Senior Data Engineer - Databricks
Senior Data Engineer builds and maintains Databricks pipelines for an AI-driven CRM platform, optimizing data flows, costs, and reliability to power global revenue intelligence from ERP/CRM sources.
Data Engineer | 8+ Years
Design and maintain scalable data pipelines and ETL/ELT workflows using PySpark, Databricks, and Delta Lake to feed analytics and AI systems.
Data Engineer - DataBricks
Build and maintain scalable data pipelines in Databricks for a financial client, using PySpark, Azure, and medallion architecture to process batch and streaming data.
Senior Data Engineer
Build and maintain a governed lakehouse and semantic layer on Snowflake/dbt and Databricks to power analytics, AI, and customer-facing dashboards.
Senior Data Engineer
Build and maintain a governed lakehouse and semantic layer on Snowflake/dbt and Databricks, designing production pipelines and reusable data products that power analytics, AI, and customer-facing dashboards.
Data Engineer | 5+ Years
Lead the design and maintenance of scalable data pipelines and ETL/ELT processes using Databricks, PySpark, and Apache Airflow to support analytics and product needs.