Top Data Engineer Jobs in Tampa Bay, FL
Full-time Data Engineer role at SailPoint focusing on building and scaling the SailPoint Data Platform. Responsibilities include delivering efficient and reliable data engineering solutions, collaborating on designs and testing, and producing unit and end-to-end tests. Required skills include Python, SQL, communication skills, and a degree in Computer Science or a related field.
As a Data Engineer Associate at PNC's Security Analytics Hub, responsibilities include acquiring/mapping datasets, developing algorithms, building database pipelines, collaborating with management, and ensuring data compliance. Required skills: Python, SQL, database knowledge, ETL systems, data storage, automation/scripting, and data security.
The Data Engineer at Dropbox will be responsible for building next-generation Financial data pipelines, curating Gold Datasets, and creating data models and ETL processes. They will work closely with business and engineering teams to provide reliable data for business use.
Lead a team of data scientists to partner with marketing, sales, growth, and product teams to drive revenue growth, optimize marketing strategies, and launch high-impact initiatives. Develop quantitative models, analyze marketing campaigns, and provide data-driven insights to improve marketing performance. Build scalable data foundations and execute standards for long-term growth. Monitor and analyze experiments to optimize marketing campaigns and promote best practices.
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The Senior Data Integration Consultant interfaces with customers' functional teams to understand the data and automation needs required to achieve a connected reporting experience. They will translate functional needs into technical requirements and work closely with customers’ technical teams to connect the Workiva platform to the customers’ enterprise systems. This role is responsible for the design and delivery of the Data Management Suite comprised of Wdata Tables/Queries/Views, Chains, and Data Prep.
The Staff Analytics Data Engineer will lead and own strategic data projects, architect scalable data pipelines, solve complex data challenges, refine development processes, and collaborate with business partners. The role involves developing and optimizing data pipelines for actionable insights and ML workloads across Pfizer's Commercial business.
As a Senior Software Engineer in the Central AI team at Atlassian, you will build and maintain core infrastructure for machine learning. Responsibilities include solving complex problems, leading projects, and collaborating with teams. The role requires 5+ years of software development experience, fluency in Java, Kotlin, Python, and expertise in AWS, Apache Spark, and Machine Learning projects lifecycle.
At Atlassian, the Senior Machine Learning Engineer position offers a competitive base pay range of $165,500 - $265,800 in the United States across three geographic pay zones. The role may also include benefits, bonuses, commissions, and equity.
Seeking a Principal Machine Learning Engineer to drive the development and implementation of cutting-edge machine learning algorithms for Atlassian products and services. Responsibilities include designing system and model architectures, conducting experiments, and providing guidance to ML engineers.
Seeking a Program Manager, Training to serve as the owner of the Data/AI learning portfolio. Responsibilities include collaborating with subject matter experts, designing training materials, staying updated on data and AI technologies, and managing budgets for training programs.
Develop ML solutions to increase safety, efficiency, and sustainability of physical operations at Samsara. Collaborate with various engineering teams to deliver core infrastructure and optimizations. Open to candidates in Canada and US excluding specific areas in San Francisco Bay Area and NYC Metro Area.
The CDE Data Engineer will be responsible for implementing and maintaining systems that ingest, process, and store vast amounts of data from internal and external partner systems. They will work with technologies to build models, alerts, reports, and visualizations from large quantities of data.
The Lead Data Specialist at Endpoint will supervise a team within Data Management, manage day-to-day operations, interact with study teams, and ensure database integrity. Responsibilities include handling critical issues, training team members, drafting SQL scripts, managing data change requests, and collaborating with clients and IT teams. Requires a Bachelor's degree, 4-7 years of relevant experience, and leadership skills.
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