Top Data Engineer Jobs in Nashville, TN

Lead the design, build, and operation of Twilio's ML and data platform, architecting pipelines and implementing MLOps best practices while mentoring engineers.

The Senior Data Engineer will oversee data integration, migration, and warehousing, mentor junior engineers, and analyze data for business insights.

The Data Insights Engineer will design and develop high-quality UI solutions, collaborate with teams, and focus on data visualization and user experience.

The Senior Data Engineer will design and maintain large-scale data products, APIs, and UIs while ensuring reliability and performance across teams.

Design and build robust data pipelines for real-time analytics and support robotic systems, ensuring data quality and reliability.

The role involves designing and maintaining data infrastructure for robotics, optimizing GPU utilization, and collaborating with researchers on advanced data technologies.

Design and maintain data pipelines, build real-time systems, collaborate with ML engineers, ensure data quality and security in identity verification processes.

The Data Solutions Engineer designs and builds data pipelines and lakehouse patterns, ensuring data governance and enabling analytics and AI workflows for the organization.

The BI Data Engineer will build data pipelines, develop data models, conduct analyses, and drive BI tool usage across teams.

Lead development of data platforms and cybersecurity analytics, focusing on scalable, secure data engineering solutions to enhance threat detection and intelligence.

As a Senior Backend Engineer, you'll architect and enhance the OmniTag engine for data mining, optimize multimodal data pipelines, and ensure production reliability, directly impacting the efficiency of ML workflows.

The role involves developing and implementing updates to SAP BW, working with Azure data solutions, leading projects, and ensuring data governance.

Lead and mentor a data solutions team in designing and implementing analytical data pipelines, ensuring adherence to coding standards and optimizing performance.

As a Software Engineer on the Data Stack team, you'll build data import systems, manage schema strategy, and debug data workflows using Python, Kubernetes, and other modern technologies.

The Sales Engineer will serve as a technical lead, guiding clients on advanced data integration and analytics solutions in healthcare, impacting revenue and client engagement.

The Software Engineer will manage data collection, operate cloud infrastructure, and collaborate with scientists to enhance AI models at Speechify.

Lead client integrations of a clinical AI platform with health systems, optimize implementations, conduct testing, and build a forward deployed engineering team.

The Senior Data Engineer will develop data pipelines, optimize cloud technologies, ensure data security compliance, and mentor junior engineers, focusing on data integration in healthcare.

Lead design and implementation of scalable data infrastructure, build reliable data pipelines, collaborate cross-functionally, and influence data architecture to support analytics and operations.

As a Software Engineer II, you'll develop core features for Stellar Health's healthcare platform, focusing on clean, scalable code and collaboration with product managers.

As a Senior Data Engineer, you'll design scalable data pipelines, ensure data quality, collaborate with teams, and build data solutions using various technologies.

Lead the design and development of machine learning infrastructure for robotics, defining strategies, collaborating with teams, and ensuring best practices in MLOps.

As a Staff Data Engineer, you will lead data infrastructure initiatives, build complex data pipelines, and mentor other engineers in advertising data products.

As a Kubernetes Operator Engineer, you'll design and develop features for the ClickHouse operator, manage databases, and collaborate with teams to enhance performance.

Develop and enhance data integrations, improve systems based on feedback and metrics, participate in architectural decisions, and ensure system reliability through on-call duty.