Data Engineer: Cloud Data Pipelines & Lakehouse

Marlabs Inc.; United States; Remote; USD 110,000 - 160,000; Full time

Job summary

Marlabs Inc. seeks a skilled data engineer to design, develop, and maintain scalable data pipelines for enterprise reporting and analytics.

You will work on ETL/ELT workflows and data integration across multiple sources, ensuring data quality, lineage, and reliability. You will build and optimize data transformations using Python and SQL, supporting cloud-based data solutions on Azure and helping modernize the platform with Microsoft Fabric and Lakehouse architectures.

Responsibilities

• Design, develop, and maintain scalable data pipelines, ETL/ELT workflows, and data integration processes for enterprise reporting and analytics.
• Build and optimize data transformation solutions using Python and SQL, integrating data from multiple sources while ensuring quality, lineage, and reliability.
• Support cloud-based data solutions on Azure and contribute to platform modernization initiatives including Microsoft Fabric and Lakehouse architectures.

Job description

Marlabs Inc. seeks a skilled data engineer to design, develop, and maintain scalable data pipelines for enterprise reporting and analytics.

You will work on ETL/ELT workflows and data integration across multiple sources, ensuring data quality, lineage, and reliability. You will build and optimize data transformations using Python and SQL, supporting cloud-based data solutions on Azure and helping modernize the platform with Microsoft Fabric and Lakehouse architectures.