Data Engineer

Marlabs Inc.; Indianapolis (IN); Presencial; USD 110 000 - 150 000; Tempo integral

Resumo da oferta

Marlabs Inc. is seeking a Data Engineer in Indiana to design, build, and optimize cloud-based data solutions that support analytics and BI initiatives.

You will develop scalable pipelines using Python, SQL, and Azure data services to enable trusted, enterprise-grade data platforms. The role emphasizes data modeling, governance, security, and performance, with opportunities to work on Lakehouse architectures and Fabric-driven modernization in a collaborative environment with cross-functional

Qualificações

• 5+ years of data engineering experience with enterprise data platforms.
• Proficient in Python and SQL, with large-scale data processing experience.
• Hands-on with Azure data services (ADF, Synapse, Storage, Databricks).
• Experience building ETL/ELT pipelines and data warehouses in cloud environments.
• Strong knowledge of data modeling, governance, security, and modern data architectures (Lakehouse).
• Nice to have: Microsoft Fabric experience and regulated data environments.

Responsabilidades

• 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.

Conhecimentos

Python

SQL

Azure

Databricks

Data Modeling

Data Governance

Security

Compliance

ETL/ELT

Lakehouse

Ferramentas

Azure Data Factory

Synapse Analytics

Azure Storage

Databricks

Microsoft Fabric

Descrição da oferta de emprego

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.