Data Engineer

Marlabs Inc.; United States; Presencial; USD 120.000 - 160.000; Jornada completa

Descripción de la vacante

Marlabs Inc. is seeking a skilled Data Engineer to design, build, and optimize modern cloud-based data solutions in Azure. You will develop scalable pipelines, transform data with Python/SQL, and ensure data quality, security, and performance across enterprise ecosystems.

Ideal candidates will have 5+ years in data engineering, experience with Azure services, and familiarity with Lakehouse and Fabric architectures to support analytics, BI, and enterprise reporting initiatives.

Formación

• 5+ years of experience designing, developing and supporting enterprise data platforms.
• Strong proficiency in Python and SQL, with complex transformations and large-scale processing.
• Hands-on experience with Azure data services (ADF, Synapse, Storage, Databricks).

Responsabilidades

• Design, develop, and maintain scalable data pipelines, ETL/ELT workflows for analytics.
• Build and optimize data transformation solutions using Python and SQL.
• Integrate data from multiple sources while ensuring quality, lineage, and reliability.
• Develop and support cloud-based data solutions on Azure using modern data services.
• Contribute to data platform modernization, including Fabric and Lakehouse architectures.
• Collaborate with architects, analysts, and stakeholders to deliver trusted data solutions.
• Optimize data models and storage for high-volume analytics and reporting.
• Troubleshoot data pipeline and platform issues, implementing monitoring, governance, and security.

Conocimientos

Python

SQL

Azure

ETL/ELT

Herramientas

Azure Data Factory

Synapse Analytics

Databricks

Microsoft Fabric

Lakehouse

Descripción del empleo

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled Data Engineer to join our innovative and dynamic team.

Data Engineer | About You

As a Data Engineer, you will be responsible for designing, building, and optimizing modern cloud-based data solutions that support analytics, reporting, and business intelligence initiatives. You will leverage your expertise in Azure, Python, SQL, and modern data platforms to develop scalable data pipelines, integrate data from multiple sources, and ensure the reliability, security, and performance of enterprise data ecosystems. The ideal candidate combines strong technical data engineering skills with experience in cloud-native architectures, data transformation, and modern analytics platforms, including Microsoft Fabric.

Data Engineer | Day-to-Day

• Design, develop, and maintain scalable data pipelines, ETL/ELT workflows, and data integration processes to support enterprise reporting and analytics needs.
• Build and optimize data transformation solutions using Python and SQL, ensuring efficient processing of large and complex datasets.
• Integrate data from multiple internal and external sources while maintaining data quality, consistency, lineage, and reliability across the data platform.
• Develop and support cloud-based data solutions within Azure, leveraging modern data services and best practices for scalability and performance.
• Contribute to data platform modernization initiatives, including the implementation and adoption of Microsoft Fabric and Lakehouse architectures.
• Collaborate with architects, analysts, business stakeholders, and engineering teams to deliver trusted, business-ready data solutions aligned with organizational objectives.
• Optimize data models, storage layers, and query performance to support high-volume analytics and reporting workloads.
• Troubleshoot and resolve data pipeline, integration, and platform-related issues while implementing monitoring, governance, security, and compliance standards.

Data Engineer | Skills & Experience

• 5+ years of experience in Data Engineering, including the design, development, and support of enterprise data platforms and data integration solutions.
• Strong proficiency in Python and SQL, with experience developing complex transformations, data models, performance optimizations, and large-scale data processing solutions.
• Hands-on experience with Azure data services, including Azure Data Factory, Synapse Analytics, Azure Storage, Databricks, or related cloud technologies.
• Proven experience building and maintaining ETL/ELT pipelines, data warehouses, and cloud-based analytics environments supporting reporting and business intelligence initiatives.
• Strong understanding of data modeling, data warehousing, governance, security, and modern data architecture principles, including Lakehouse and cloud-native data platforms.
• Preferred: Hands-on experience with Microsoft Fabric, modern Lakehouse architectures, and regulated or compliance-driven data environments.

Originally posted on Himalayas