Top Data Engineer Jobs in Miami, FL
Senior Associate role in the SAP Human Capital practice at PwC focusing on SAP SuccessFactors data migration and Employee Central implementation. Responsibilities include addressing client needs, leading data migration implementations, and full life-cycle implementations of SAP SuccessFactors Employee Central.
As a Senior Associate, you will work on complex business issues with a team, focusing on SAP Human Capital solutions and talent management. Responsibilities include data migration implementations, full life-cycle implementations of Employee Central, and working in functional and technical areas within SAP SuccessFactors.
As a Senior Associate in the SAP Human Capital practice, you will work on SAP consulting services to maximize client value. Responsibilities include implementing SAP SuccessFactors, leading data migration, and full life-cycle implementations of Employee Central.
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.
Join Altice USA's Data Science team as a Machine Learning Engineer to deliver AI applications for various business units. Work on end-to-end solutions leveraging AI and ML principles, consult with stakeholders, analyze data, manage projects, share insights, and stay updated with industry trends.
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Hiring a Senior Data Engineer to work on building data solutions, data models, and pipelines to support crucial business decisions. Responsibilities include collaborating with data analytics teams, architecting data solutions, and improving data quality. Must have strong programming skills in Python and experience with AWS data services.
Design, build, and enhance batch and real-time inference services and tooling that support machine learning use cases. Collaborate with ML modelers to encourage adoption of new tools and technologies and plan for future needs of the ML teams.
Responsible for data visualization, data engineering, data governance, and software engineering. Creating dashboards, managing ETL pipelines, designing data processing scripts, and ensuring data governance. Experience with Python, SQL, R, PowerBI, and TIBCO Spotfire.
Lead Data Management Consultant proficient in Python scripting. Responsibilities include use case development, automation, consulting, product development influence, knowledge sharing, documentation, and analytics. Minimum qualifications include a Bachelor's or Master's degree and 8 years of experience in data management solutions.
Lead the development of AI and Machine Learning solutions to improve enterprise services user experience and workflow efficiency. Collaborate with a team of researchers, scientists, engineers, and product managers to build innovative solutions for enterprise customers around the world.
Lead the Data Management Transformation program at Mondelēz International, focusing on defining and delivering a complex master data transformation for the US market. Partner with various teams and senior leaders to ensure alignment and successful execution of the project. Provide strategic input on data governance and management practices to drive long-term success for the business unit.
Design and build the next generation library for deep learning within the firm. Empower researchers to iterate faster and perform experiments that were not possible before. Work with HPC experts to optimize workflows and deliver improvements in training speed and cost savings.
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