Top Data Engineer Jobs
The BI Data Engineer will build data pipelines and Python-based ETL tools, develop and optimize data models, generate end-to-end reporting solutions, and collaborate with business leaders to define key metrics and reporting requirements, aiming to improve data usage across the company.
The Senior Data Engineer will build and maintain scalable data processing systems using AWS and various big data technologies. Responsibilities include developing real-time and batch data pipelines, ensuring data quality, and collaborating with cross-functional teams on architecture and best practices.
The Multilingual Data Specialist at Dialpad will focus on enhancing Ai features for transcription and sentiment analysis in German and French. Responsibilities include data collection for ASR and NLP, providing linguistic expertise, designing workflows for data annotation, training annotators, ensuring data quality, and collaborating with the data science team throughout the project lifecycle.
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The Supervisor of ERP Data Engineering & Analytics at Labcorp is responsible for designing, developing, and maintaining data pipelines, databases, and analytical systems to support business intelligence and analytics needs. This role involves collaborating with cross-functional teams, building scalable data pipelines, and ensuring the efficiency and reliability of the company's data infrastructure.
The Senior Data Engineer will lead in designing and optimizing cloud-based big data solutions while mentoring peers. Responsibilities include interacting with clients, solving technical challenges, and communicating effectively across teams. They must have significant experience in big data technologies and cloud platforms.
The Applied Data Science Associate program at DataRobot trains individuals to become Customer Facing Data Scientists, focusing on AI solutions for federal customers. Responsibilities include data preparation, model building, application development, and supporting customer engagements through the DataRobot platform after a structured training program.
The CRMSO Data Specialist leads data analytics strategies to support Credit Risk Management. Responsibilities include developing analytics products, managing data inventory, providing reporting solutions, strategizing implementation needs, enhancing data quality, and managing CRM product priorities in collaboration with technology partners.
Seeking a Senior Data Architect Lead to establish and maintain adaptable data infrastructure, develop data software products, manage work flow using Agile methodologies, and design data architecture solutions. Responsibilities include defining team backlog, collaborating with stakeholders, leading data software development, data analysis, data modeling, and ensuring quality and performance of data processes.
The IAM Data Engineer will develop and maintain IAM infrastructure, focusing on Saviynt IGA and CPAM. Responsibilities include building data pipelines, managing ETL processes, implementing access controls, generating reports, and collaborating with IT to enforce governance policies.
As a Lead Data Engineer, you will design, develop, and implement data pipelines, warehouses, and lakes while ensuring data quality and accuracy. You will lead strategic discussions, document requirements, and develop scalable data solutions. Additionally, you will maintain data infrastructure and stay updated on emerging technologies.
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