Top Data Engineer Jobs in Tampa Bay, FL

As a Senior Data Engineer, you will architect core metrics for games, develop data models, implement pipelines, enforce data governance, and collaborate with stakeholders.

The Senior Software Engineer will design, build, and operate core platform services, focusing on scalable systems, APIs, and financial services in a distributed architecture.

Design and implement enterprise-level unified communications solutions, integrating voice, video, and messaging systems while optimizing user experience and ensuring system performance.

The Data Engineer will develop data warehouses, implement ETL processes, support data pipeline development, and ensure optimal data quality and security.

Build and operate a large scale data platform for real-time data distribution for crypto exchanges. Collaborate with teams and mentor members.

As a Backend Software Engineer at Coinbase, you will develop and maintain cloud provisioning services, manage projects, and mentor team members, focusing on scalable blockchain infrastructure solutions.

The Senior Software Engineer will design and implement backend infrastructure for a Web3 data platform, mentoring team members and managing project priorities.

The Senior Data Engineer designs and maintains data platforms and ETL pipelines, mentors peers, and leads complex projects to enhance community civic engagement.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

As a Data Engineer, you will build and optimize data pipelines, manage ETL workflows, and ensure efficient data access and quality within the infrastructure.

Staff Data Engineers lead complex data engineering projects, collaborating across teams to deliver solutions that meet client needs. They optimize data pipelines and design data infrastructure for large systems.

As a Senior Data Engineer, you will own and optimize data platforms in Databricks, design ETL pipelines, and enable AI applications, partnering with cross-functional teams.

Design and deploy data processing pipelines, analyze data to extract insights, and develop software systems for data management and privacy.

The Data Engineer will maintain and enhance data pipelines and manage third-party integrations in Azure and Databricks environments.

As a Senior Software/Data Engineer, you'll design, develop, and maintain data pipelines and services, ensuring scalability and reliability, while collaborating with cross-functional teams.

The Data Engineer will develop analytics solutions, shape data strategies, implement data pipelines, and enhance the organization's data capabilities, collaborating with a team in a remote work environment.

As a Senior Software Engineer for Data Infrastructure, you'll design and manage core data systems, ensuring scalability and compliance while collaborating with various teams and maintaining high-performance standards.

Design and build secure data pipelines, lead data architecture, collaborate across teams, ensure data quality, and mentor other engineers.

Design, build, and maintain secure data pipelines, optimize data models, ensure compliance, and troubleshoot data quality issues.

The Azure Data Platform Solution Architect designs, develops, and implements data solutions using Azure technologies, ensuring optimal performance and delivery across the enterprise.

The role involves developing and maintaining data pipelines, managing critical data sources, improving data architecture, and mentoring junior team members in a collaborative environment.

The Principal Data Engineer designs and maintains infrastructure to support analytics, leads data solution deployment, optimizes data pipelines, and mentors team members while ensuring best practices and data democracy.

The Senior Data Engineer will build and scale data assets, improve data quality, create data pipelines, and enhance platform capabilities in a cross-functional setting.

As a Senior Data Platform Engineer, you'll design data infrastructure and APIs, develop scalable data pipelines, and collaborate with teams on data solutions.

Lead the design and implementation of data pipelines and systems, mentor engineers, and ensure data quality for analytics and ML applications.