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Data Engineer (Databricks / Snowflake)
Build and maintain secure data pipelines and models for financial clients using Databricks or Snowflake, ensuring reliable, production-ready data solutions in regulated environments.
Databricks Data Engineer
Build and maintain scalable data pipelines on Databricks for AI/ML workloads, using orchestration tools like Airflow and dimensional modeling.
Data Engineer
Design and build scalable data pipelines and warehouses for clients, using SQL, Python, and ETL tools to transform raw data into reliable analytics-ready datasets.
Senior Specialist - Data Engineering
Design and maintain scalable data pipelines and ETL processes using Spark, Kafka, and Airflow, and optimize data storage in cloud warehouses and lakes to support analytics and ML initiatives.
Lead IT Data Engineer MXT
Lead the design of scalable, AI-powered data pipelines and lakehouse architectures for a global food manufacturer, optimizing cloud costs and enforcing governance across real-time streaming and ETL workflows.
Lead IT Data Engineer MXT
Lead a team to design and optimize cloud-based data pipelines, warehouses, and agentic AI workflows using Python, SQL, Kafka, and Databricks for Tyson’s manufacturing operations.
Senior Data Engineer (AWS)
Build and maintain cloud-native data pipelines on AWS, landing data into Snowflake via dbt Cloud and Python, while optimizing performance and cost for analytics-ready datasets.
AWS Data Engineer
Build and maintain AWS-based data pipelines and warehouses using Python, SQL, and services like Glue, Redshift, and S3 to enable analytics and ML feature stores.
Senior Data Engineer
Build and optimize Snowflake-based data pipelines using Matillion and Python to power analytics and AI use cases for a large retailer.
AWS Cloud Data Engineer
Designs and builds AWS-based data pipelines and feature stores using Python, SQL, and tools like Glue and Sagemaker to support analytics and ML workloads.
Data Engineer - Databricks
Build and maintain scalable data pipelines on Databricks and Azure, optimizing ETL/ELT processes to support analytics and ML initiatives for an insurance-focused team.
Data Engineer (Azure)
Build and maintain Azure-based data pipelines and warehouses using T-SQL, Synapse, Data Factory, and Databricks to deliver clean, reliable data for analytics and modeling.
Data Engineer - Databricks
Build and maintain scalable data pipelines on Databricks and Azure to feed analytics, ML, and reporting for an insurance company.
Data Engineer (Azure)
Build and maintain Azure-based data pipelines using T-SQL, Azure Data Factory, Databricks, and Synapse to deliver clean, reliable datasets for analytics and modeling.
Data Engineer
Senior Data Engineer builds and optimizes ETL pipelines, migrates legacy systems to cloud platforms like Snowflake and Databricks, and designs scalable data workflows using Python, SQL, and Airflow for a financial services client.
Lead Azure Fabric Data Engineer - Remote Position
Lead a team to design and build scalable Azure Fabric data platforms, including Lakehouse architectures, pipelines, and Power BI models, while mentoring engineers and collaborating with stakeholders.
Data Engineer / Senior Data Engineer (MS SQL - SSAS focus)
Designs and maintains ETL pipelines, data warehouse architecture, and SSAS/Power BI models for a financial/insurance company’s BI systems.
Data Engineer, Microsoft Fabric Data Warehouse (Project-based)
Build and maintain a Microsoft Fabric data warehouse using medallion architecture, SQL, and Power BI to ingest, transform, and model data for reliable reporting.
Fabric Data Engineer: End-to-End Data Warehouse
Build and maintain Microsoft Fabric data warehouse pipelines and models in Cebu City for a 6-month onsite project, enabling governed reporting for global clients.
Network Data Engineer: End-to-End ETL & Modeling
Designs and maintains scalable ETL/ELT pipelines and dimensional models to feed a data mart, ensuring data quality and reliability for analytics.