Top Data Engineer Jobs
Seeking a Data Engineer to organize and optimize data for machine learning algorithms and contribute to cutting-edge data science projects in the National Security sector. Responsibilities include assessing data, building pipelines, and implementing source code for a program focused on object detection robustness.
The Lead Cloud Hybrid Database Administrator manages enterprise database infrastructure across on-premises and public cloud environments. Responsibilities include supporting Microsoft SQL systems, Azure databases, and other data stores, ensuring database performance and security, and developing automation solutions for deployment and administration. The role involves collaborating with stakeholders and IT teams to deliver projects and address production issues.
The Manager of Data Engineering at The Hartford is responsible for optimizing data systems, building data pipelines, and supporting various data initiatives. This role involves working on Cloud/Hybrid architectures, continuous integration, and data engineering practices. The candidate will stay updated on emerging data technologies and collaborate with cross-functional teams to drive project and portfolio strategies.
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As a Product Engineer, you will develop scalable applications, collaborate with cross-functional teams, and transform high-level visions into software solutions. Your expertise in data analytics, programming languages, and API development will be essential for building enterprise-grade products. You will also contribute to technical documentation and work with cloud platforms and orchestration tools.
The Senior Data Engineer will build and maintain data models, collaborate with teams for data analysis, ensure coding standards, and set up monitoring systems for data KPIs. The role requires deep knowledge in scalable data architecture and ETL processes, along with strong analytical and communication skills.
As a Data Management Consultant III, you will develop training programs on data management for bank teams, focusing on data governance, quality, and lineage. You will conduct workshops, evaluate training effectiveness, and liaise with vendors to align training with bank goals. Additionally, you will uphold the company’s risk standards and support diversity within the workplace.
The Data Engineer will architect, implement, and maintain data infrastructure to ensure quality and consistency. Responsibilities include collaborating with business partners on data engineering requests, utilizing SQL and Python for data integration, and supporting BI platforms while adhering to data management best practices.
The IT Analytics Engineer at CoreLogic will design and implement cloud solutions and machine learning models, collaborate with cross-functional teams, and optimize data analytics processes to enhance the real estate ecosystem.
The Sr. Data Science Consultant provides analytics consultation, utilizing advanced statistical analyses and machine learning. Responsibilities include mentoring team members, working with current technologies, and communicating complex concepts to non-technical audiences.
As an IT Data Engineer at Procter & Gamble, you will design and implement data and analytics cloud-based platforms and pipelines, ensuring data is cleansed, transformed, and published effectively. You'll partner with data managers to maintain data quality and leverage coding standards to deliver efficient services in a dynamic team environment.
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