Top Data Engineer Jobs in Nashville, TN

The Lead Data Engineer will design, build, and maintain scalable data pipelines and analytics solutions to support Nike's Advanced Analytics and Business Intelligence initiatives. Responsibilities include leading a team of engineers, collaborating with cross-functional stakeholders, implementing data governance, and optimizing data processing architectures.

As a Mid-Level Data Engineer, you will develop, test, and maintain scalable Python applications, collaborating closely with product managers and designers. You will write efficient code, participate in code reviews, troubleshoot issues, and contribute to system architecture.

In the role of Data Engineer at Hiveon, you will develop and support enterprise-level statistics services, design data storage solutions, optimize queries, and create impactful reports for high-load HPC business management. You will collaborate with development teams and perform database performance monitoring and improvement tasks.

The Power BI Data Integration Specialist will design and develop Power BI solutions, integrate real-time data pipelines, and create optimized data models. Responsibilities include advanced query development, deployment and administration of Power BI services, collaboration with stakeholders, performance tuning, and documentation of technical processes. The role requires strong expertise in real-time data processing and data visualization.

Senior Data Engineers are responsible for coding in Scala and C#, developing APIs and ETL pipelines, and optimizing processes for data-driven solutions in Azure. They ensure productivity and guide junior engineers while fostering a strong team culture. Proficiency in big data technologies and DevOps practices is essential.

The Oracle Banner Database Administrator is responsible for supporting Oracle databases and related tools for multiple clients, managing updates and patches, conducting database tuning and optimization, and providing technical leadership for Ellucian Banner products in a higher education context.

The Data Quality/Integrity Lead is responsible for designing and implementing master data management solutions, developing a comprehensive data procurement strategy, and establishing quality control processes. The role involves engaging with providers, communicating data processing statuses, and collaborating with various teams to enhance data quality for HEDIS and other initiatives.