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Senior Data Engineer
Senior Data Engineer builds and maintains HIPAA-compliant data pipelines and models for a healthcare AI product using Python, Dagster, DBT, PostgreSQL, and AWS services.
Lead Data Engineer
Lead a team of data engineers to design, build, and optimize cloud-based data pipelines and warehouses using Python, SQL, Spark, and cloud platforms like Azure or AWS.
Data Engineer – Snowflake
Build and optimize Snowflake-based ETL/ELT pipelines, tune queries, and maintain cloud data platforms for enterprise clients in a managed-services setting.
Lead Data Engineer: Scalable Pipelines & Data Innovation
Lead a team building and maintaining scalable data pipelines for analytics using ETL/ELT tools, Airflow, DBT, and Snowflake/Redshift.
Azure Data Engineer
Design and maintain Azure-based data pipelines and Medallion Architecture using PySpark, Azure Databricks, and Data Factory to clean, transform, and deliver enterprise reporting data.
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 Azure Data Engineer: ETL & Cloud Pipelines
Build and maintain scalable ETL/ELT pipelines and data models on Azure for analytics and operations, collaborating with data scientists and business teams.
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.
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.
Snowflakes Data Engineer
Design and build Snowflake-based data pipelines and governance, using Snowpark/SQL to ingest, transform, and expose data while enabling GenAI features with Cortex AI.
Google Cloud Data Engineer
Designs and builds scalable data pipelines and warehouses on Google Cloud, using ETL/ELT, DataOps, and IaC to support analytics and reporting.
Senior Data Engineer: Scalable Pipelines & Data Governance
Designs and builds scalable data pipelines and warehouses for Shopee’s ecommerce and logistics operations, ensuring high 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.
Senior Data Engineer: Scalable Pipelines & Data Platforms
Designs and builds scalable data pipelines and warehouses in Python/SQL, transforming raw data into insights on AWS/Azure/GCP for a data-driven team.
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.