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Data Engineer
Senior Data Engineer builds scalable Microsoft-based data pipelines and lakehouse architectures for enterprise clients across finance, government, energy, logistics, and healthcare.
Data engineer
Build and maintain scalable data platforms in Azure, design ETL pipelines, and integrate data sources to enable data-driven decision-making for clients.
Data Engineer
Build and maintain scalable cloud-native data pipelines and platforms that power analytics, machine learning, and AI for enterprise clients.
Data Engineer
Build and maintain NATO’s secure, scalable data infrastructure using Python, Kubernetes, and cloud/airgapped tooling to power reliable data pipelines and AI/ML workloads across the Alliance.
Data Engineer
Design and maintain cloud-based data pipelines and the enterprise Master Data Repository in Azure, enabling reliable data flows and analytics for a high-tech electronics manufacturer.
Data engineer
Build and maintain a scalable data platform using Azure, PySpark, Delta Lake, and Microsoft Fabric to power analytics and decision-making across the organization.
Data Engineer
Build and maintain Azure Databricks and Microsoft Fabric data pipelines, ETL/ELT processes, and Lakehouse architectures to deliver reliable data for analytics and reporting.
Databricks Data Engineer — Scalable Data Pipelines
Build and scale Databricks-based data pipelines and lakehouse integrations for healthcare and banking clients, maintaining robust data platforms in a collaborative team.
Staff Software Engineer - Backend
Build and scale backend infrastructure for a data and AI platform, focusing on distributed systems, cloud storage backends, and scalable services using Scala/Java.
Senior Software Engineer - Backend
Build and scale backend infrastructure for Databricks’ data and AI platform, working on distributed systems, cloud storage backends, and scalable services in Scala/Java.
Staff Software Engineer - Backend
Build and scale Databricks’ backend infrastructure and services, including distributed systems, Kubernetes, and data pipelines, to support millions of cluster-hours daily.
Data Platform DevOps Engineer
Build and maintain scalable, secure customer data APIs using Python, Azure services, and Databricks to power analytics and AI at a fintech company.
Senior Software Engineer - Fullstack
Builds and improves Databricks’ full-stack SaaS products, focusing on modern UI/UX and scalable data/AI infrastructure for enterprise customers.
Software Engineer - Fullstack
Builds modern SaaS data/AI tools using React, Node.js, Python, and cloud infra to deliver delightful UX for SQL analytics, workflows, and developer ecosystems.
Lead Python Developer
Lead Python Engineer designs and builds scalable data-processing back-end services and APIs for client projects, focusing on Python, cloud data platforms, and data pipelines.
Manager, Data Engineering
Lead a team to design and maintain Vancity’s enterprise data platform, building scalable pipelines and ensuring high-quality data for business insights using Azure, Databricks, and Spark.
Backend Data Engineer – Lakeflow & Job Development
Builds and maintains scalable data pipelines using Lakehouse/Lakeflow architectures, job orchestration, and ETL/ELT workflows to support analytics and reporting.
Senior Software Engineer - Backend
Build backend systems for Databricks’ data and AI platform, focusing on log analytics, AI/BI, or Unity Catalog Business Semantics using Java, Scala, or C++.
Staff Software Engineer - Backend
Builds and scales Databricks’ core data and AI infrastructure, focusing on distributed systems, log analytics, AI/BI, or app platforms in Vancouver.
Senior Data Engineer
Build and maintain scalable data pipelines using PySpark, Databricks, and Airflow to integrate financial data from APIs, Oracle, and Kafka into a data warehouse/lakehouse.