Top Data Engineer Jobs in Tampa Bay, FL

Design and implement a scalable, secure data platform. Lead data engineering function and collaborate with product/engineering and sales teams.

As a Staff Data Engineer, you will design and optimize data systems, collaborate with cross-functional teams, and provide technical leadership while ensuring data quality and performance at scale.

Lead product strategy for developer ecosystem and data products, driving revenue and partnerships at Apollo.io while mentoring product teams.

The Data Engineer will design and maintain scalable data pipelines, ensure data quality, implement governance standards, and collaborate with scientists and engineers for AI applications.

The SAP-Azure Data Engineer will develop and maintain data pipelines, dashboards, and ETL processes, ensuring data quality and governance while collaborating across teams to provide data-driven solutions.

The Data Engineer will design and maintain SQL data warehouses, build reports with SSRS, and manage data pipelines using Airflow.

The Senior Engineer will optimize data platforms, develop data retrieval orchestrators, and enhance data pipeline efficiency using advanced tools and languages.

The Staff/Lead Data Engineer will build and manage data pipelines, ensuring data availability and quality while using technologies such as Apache Airflow and Spark.

You will set technical direction and implement a streaming data processing engine, work closely with teams, and drive engineering improvements.

As a Staff Software Engineer, you will build scalable data infrastructure, develop ETL pipelines, and optimize data processing for blockchain intelligence. You'll collaborate with cross-functional teams to enhance performance and reliability while driving innovation in data analytics.

As a Data Engineer, you'll build and maintain data workflows, ensure data quality, and develop models to support analytics and reporting. You will collaborate with teams to implement best practices in data architecture and governance.

The Data Engineer will develop and maintain data pipelines, ensure data quality, and collaborate with teams to optimize data solutions, utilizing core tools and technologies.

The Data Infrastructure Engineer will design, implement, and optimize data infrastructure, develop ETL pipelines, ensure data security and support data processing frameworks.

Lead the design and development of data services and platforms, focusing on creating validated APIs and event-driven pipelines for AI-driven products.

The Data Engineer will enhance data capabilities at VRChat, focusing on data warehouse management, ETL pipeline development, and ensuring infrastructure scalability.

As a Data Engineer II, you'll develop data transformation pipelines, build visualization tools, and ensure high quality data for internal teams, working closely with data scientists in the Translational Data Sciences group.

Develop and maintain scalable web applications focusing on back-end systems, collaborate with teams to define technical specifications, and ensure code quality through testing and reviews.

The role involves building data and ML models, transforming large datasets, collaborating with customers, and enhancing data capabilities within the product.

Design and manage data infrastructure projects for clients, develop large-scale pipelines, collaborate in Agile/DevOps environments, and utilize cloud platforms.

As an Azure Data Engineer, you'll design and maintain data pipelines and analytics solutions on Azure, collaborating with teams to optimize data systems and ensure data quality and security.

The Staff Data Engineer will optimize data workloads, develop new data processing routes, and create ML solutions in the cybersecurity domain.

The role involves building and maintaining data pipelines and infrastructure to support operational and support data insights across Stripe's teams, enhancing data-driven decision making and user experiences.

The Staff Data Engineer will manage data engineering lifecycle, develop data infrastructure, mentor team members, and optimize applications.

The Senior Data Engineer will build scalable data pipelines, optimize infrastructure, and support healthcare analytics, working with cloud-based tools.

As a Senior Data Engineer, you will enhance a datalakehouse, optimize data workloads, perform complex transformations, and create ML solutions while maintaining pipeline performance.