Top Data Engineer Jobs in Tampa Bay, FL
The Senior Data Engineer at Spokeo will develop and optimize data technologies, build automation pipelines, collaborate with stakeholders to create data products, monitor performance, and follow data governance best practices.
As a Senior Machine Learning Engineer at Affirm, you will develop machine learning models for assessing creditworthiness, build training and monitoring systems, and collaborate with product and engineering teams. You'll implement data pipelines and drive innovations in credit decisioning with cutting-edge technologies.
The Data Engineer will work closely with Enterprise Architecture and Technology Leadership to design and implement modern data infrastructure on Azure. Responsibilities include developing data models, migrating data workloads, defining requirements for stakeholders, and collaborating throughout the entire delivery lifecycle.
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The Senior Data Engineer will design and implement ETL processes in a cloud environment, develop monitoring solutions, document datasets, and collaborate with the Data Science team. This role requires building ETL processes and a strong understanding of data modeling.
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As the Director of Data Science & AI, you will lead a team to develop AI and ML solutions that align with the business strategy. Responsibilities include overseeing the ML workflow, collaborating with Product and Engineering, and managing a high-performance team to drive customer-centric analysis and strategic initiatives.
As a Data Engineer on the U.S. Data Strategy team, you will design and develop applications and database management solutions, focusing on ETL processes, SQL Server development, and data ingestion pipelines using Azure technologies. You will collaborate with stakeholders to transform business requirements into technical solutions, ensuring data quality and integration across systems.
The Manager of Operations Technology Data Historian will maximize the value of the data historian system by developing standardization strategies, improving capabilities, and providing training. They will work closely with IT to ensure effective design, governance, and adoption, while managing system configurations and enhancements to support operational efficiency.
The Sr Data Architect will design and manage data systems and pipelines, overseeing junior engineers and leading data collection projects. Responsibilities include defining data architecture, modeling efforts using DataBricks, collaborating with BI teams, and implementing internal process improvements. The role requires the creation of data-related documentation and working with data engineering teams to enhance functionality.
As a Data Entry Specialist at FreeUp, you will manage data tasks efficiently, utilizing tools like Excel and Google Docs. You will work remotely, setting your own schedule while ensuring timely client communication and support. The role requires strong data management skills and a commitment to quality work.
The role involves designing, developing, and monitoring solutions for a global regulatory reporting system. Responsibilities include analyzing complex issues, user support, ensuring compliance with standards, recommending security measures, and guiding lower-level analysts.
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