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Senior Data AI Engineer
Designs and maintains scalable data pipelines and warehouses (e.g., Fabric, Databricks) to collect, store, and analyze data for analytics and ML, using SQL, Python, and cloud platforms.
Hybrid Senior Data Engineer - Scalable Cloud Data Pipelines
Designs, builds, and optimizes scalable cloud data pipelines using Databricks, Snowflake, and Azure to support enterprise analytics and reliable data ecosystems.
Hiring! Senior Data Engineer
Build and maintain scalable data pipelines and analytical datasets on AWS for a risk-focused datamart using PySpark, Airflow, and SQL.
Senior Data Engineer (PySpark & Microsoft Fabric)
Build and maintain scalable data pipelines using PySpark and Microsoft Fabric to move and transform data into analytics-ready datasets.
Senior Data Engineer - PySpark, Fabric & Azure
Designs and builds scalable data pipelines using PySpark, Microsoft Fabric, and Azure services to centralize data into warehouses and lakehouses.
Microsoft Fabric Data Engineer (Mid Shift)
Builds and scales a Microsoft Fabric-based data lakehouse, integrating Dataverse and enterprise systems, and enabling Power BI reporting and AI initiatives.
Senior Data Engineer
Senior Data Engineer builds and maintains scalable ETL pipelines in Azure for Manulife’s data warehouse, integrating diverse sources and ensuring data quality and governance.
Google Data Engineer
Design and build scalable GCP data pipelines and BigQuery models for analytics and ML, using Dataflow, Pub/Sub, and Kubernetes.
Senior Data Engineer
Design and build serverless data pipelines and cloud infrastructures using Python, AWS, and Infrastructure as Code for enterprise-scale data solutions.
Data Engineering Lead - Asset Management
Lead a team to design and build data pipelines and transformations using Azure and Databricks, turning raw data into insights for asset management.
HCHP: Senior Data Engineer
Design and build scalable cloud-native data pipelines and analytics-ready datasets using Azure, Databricks, PySpark, and Delta Lake to support reporting, analytics, and business operations.
PySpark Data Engineer
Build and maintain scalable PySpark pipelines and ETL workflows to process large datasets, ensuring data quality and performance for analytics and reporting.
Lead, Data Engineer
Lead a team to design, build, and maintain data pipelines and warehouses for a leading fintech app, ensuring reliable data flow and quality for analytics and reporting.
Data Engineer
Builds and maintains scalable ETL pipelines on Databricks and AWS to turn raw data into clean, analytics-ready datasets for reporting and business insights.
Senior Data Engineer: Data Pipelines, Cloud & Governance
Senior Data Engineer builds and governs cloud-based data pipelines and models for edtech products, ensuring scalable, reliable data infrastructure.
Data Engineer: Build Scalable Pipelines & Insights
Designs and builds scalable data pipelines and warehouses to feed analytics and AI products, ensuring data quality and governance in an Agile environment.
Senior Data Engineer - Hybrid
Senior Data Engineer builds and maintains scalable data pipelines on Databricks Lakehouse, using Python, PySpark, and Azure services to ingest, transform, and serve clean data for analytics and AI.
Data Engineer - Night Shift
Builds and maintains enterprise data pipelines and analytics platforms using SQL, ETL/ELT, and cloud tools like Microsoft Fabric to support reporting and AI initiatives.
Microsoft Fabric Data Engineer
Builds and scales a Microsoft Fabric-based data lakehouse, creating ETL pipelines, semantic models, and Power BI reports to support enterprise analytics and AI initiatives.
Data Engineer (4x Onsite, QC)
Build and maintain data pipelines for a retail company focused on health and wellness, processing large datasets to support business decisions using Python, SQL, and cloud platforms like AWS and Databricks.