Top Data Engineer Jobs in Tampa Bay, FL

Lead the design and implementation of data solutions, support data engineering initiatives, manage systems and processes, and identify optimization opportunities.

The Senior Data Engineer will develop and maintain scalable data pipelines, collaborate on data models, monitor data quality, and manage data integration across cloud platforms.

Join Halcyon as a Backend Engineer to develop and manage data platforms and APIs, focusing on Scala services and transitioning to C# as needed.

This role involves converting SAS code to Spark, optimizing Spark jobs, and maintaining backend services while ensuring compliance and collaboration within an Agile environment.

Design, develop, and maintain data systems and real-time APIs, ensuring high performance and reliability for Netflix's services. Collaborate with teams and drive innovation in fast-paced environments.

Responsible for building infrastructure for data ingestion and availability, focusing on backend data processing and occasional frontend tooling. Drive architectural design and maintain high-quality processes.

As a Senior Backend Engineer, you'll design and implement scalable backend services for blockchain data analytics, lead technical discussions, and mentor juniors.

As a Data Analytics Engineer at dv01, you'll manage data pipelines, write production-ready code, and collaborate with analysts and clients, leveraging modern technologies to optimize data for the financial market.

As a Software Engineer I, contribute to the design and operation of Abnormal's data platform, develop tools for data integration, and automate infrastructure for improved performance. Collaborate with engineering teams to solve scalability issues while learning from experienced engineers.

Join Recorded Future's Talent Network as a Data Engineer, focusing on Python, ETL pipelines, and web scraping. Stay updated for future opportunities.

The Senior Software Engineer will define and deliver data platform offerings, build tooling for storage systems, and work cross-functionally to improve scalability in data systems.

Seeking a hands-on Data Engineer to build scalable data pipelines on Databricks, optimize Spark workloads, and collaborate on AI projects.

The Senior Data Engineer will design and implement scalable data pipelines using Databricks and Apache Spark, optimizing workflows for AI-driven solutions and collaborating with data teams.

As a Senior Data Engineer, you will design and scale a Databricks-based data platform, build data pipelines, ensure data quality, and mentor junior engineers in a healthcare setting.

As a Senior Data Engineer, you will design and maintain data infrastructure, building scalable data pipelines for real-time analytics and decisioning, while collaborating with cross-functional teams.

The Data and Reporting Engineer collaborates with Database Engineers to maintain database objects, develop reports, troubleshoot data issues, and support projects.

Responsible for big data software and platform architecture and development involving innovative projects and cutting-edge technologies.

Design and develop scalable streaming systems on public cloud. Lead junior engineers, collaborate with teams, and contribute to continuous learning in an Agile environment.

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

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

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

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

The Staff Software Engineer will lead the development of scalable AI and data platforms, mentor engineers, and ensure best practices in data governance. Responsibilities include architecture design, collaborating across teams, and integrating advanced technologies to optimize platform performance.