Tech jobs
Job listings
Azure Data Engineer
Designs and builds scalable Azure-based data pipelines and storage solutions using Synapse, Databricks, and Fabric to enable reliable, high-quality data platforms.
Data Engineer
Builds and maintains cloud-based data pipelines in Azure/GCP using Python, PySpark, and SQL to deliver analytics and insights for business units.
Data Engineer
Design and maintain ETL pipelines and data warehouses using Azure Data Factory, Databricks, and Oracle technologies to support business intelligence and analytics.
Data Engineer
Build and maintain scalable ETL/ELT pipelines in Azure Data Factory and Databricks to move and transform financial data into Manulife’s data warehouse.
Data Engineer
Builds and maintains ETL pipelines, data models, and Spark-based transformations on Azure and Databricks to power analytics and reporting.
Data Engineer Consultant
Designs and builds scalable data pipelines on Azure to ingest, transform, and store healthcare data for analytics using Databricks, Data Factory, and Delta Lake.
Databricks Data Engineer
Build and maintain scalable ETL/ELT pipelines on Databricks using PySpark, Delta Lake, and Unity Catalog, then surface insights via BI tools and GenAI-ready datasets.
Senior Data Engineer
Designs and builds scalable ETL/ELT pipelines and cloud data solutions using Python, SQL, Databricks, Snowflake, and Azure.
Data Engineer
Builds and maintains large-scale data pipelines on Azure Databricks and Spark, writing PySpark/Python and SQL to process TB-scale datasets and ensure data quality.
Data Engineer
Build and maintain scalable batch and streaming data pipelines in AWS + Databricks, using Python, SQL, and modern lakehouse architectures to power analytics and reporting for a fast-growing fintech lender.
Data Engineer
Designs and maintains scalable data pipelines and cloud-based data architectures to move, clean, and store data for analytics and reporting.
Data Engineer, AI Pipelines & Lakehouse (Hybrid)
Builds and maintains data pipelines for AI training and analytics using Databricks, GCP, and Azure, ensuring clean data for models and reporting.
Data Engineer
Build and maintain scalable data pipelines using Databricks, GCP, and Azure to power AI model training, RAG-based search, and enterprise analytics.
Data Engineer: AI Data Pipelines & Lakehouse (Hybrid)
Build and maintain data pipelines for AI model training and analytics using Databricks, GCP, and Azure, ensuring clean, reliable data and supporting BI dashboards.
Data Engineer
Build and maintain scalable data pipelines and ETL workflows using Python, SQL, and cloud platforms like AWS or Azure to support analytics and business needs.
Data Engineer
Build and optimize data pipelines and storage systems using Spark, Hadoop, Snowflake, and Airflow to process large-scale datasets for analytics and modeling.
[Urgent Hiring] Data Engineer / Cloud Data Engineer (AI Center of Excellence)
Build and maintain enterprise-scale data platforms and AI-ready pipelines using cloud tools like Azure, Databricks, and Snowflake to power analytics and AI for global clients.
Data Engineering Lead
Lead a team to design, build, and maintain data pipelines and systems that transform raw healthcare data into actionable insights for analysts and business teams using Python, SQL, Databricks, and Azure.
Data Engineer
Build and maintain scalable data pipelines and products in Azure Databricks, ensuring high-quality, reliable data for analytics and AI across a global HVAC manufacturer.
Data Engineering Manager: Azure Databricks & AI Pipelines
Leads a team building and optimizing Azure Databricks and Microsoft Fabric pipelines to create analytics-ready data layers for BI and AI use cases.