Top Data Engineer Jobs in Raleigh, NC
The Data Ingestion Lead will oversee data acquisition, ingestion, and transformation processes in the Global Pet Nutrition division. Responsibilities include optimizing data workflows, ensuring data quality and reliability, implementing compliance checks, and collaborating with various teams to enhance data capabilities.
The Principal Data Engineer will design and implement end-to-end data workflows for ML modeling, improve model performance, and enhance data processing frameworks. Responsibilities include creating standards and best practices, ensuring data accuracy, and collaborating with data scientists to meet data needs.
The Sr. Data Engineer will manage and optimize vector databases, lead data infrastructure migrations, ensure reliable performance and scalability of data systems, implement cloud solutions, and apply SRE practices to enhance system availability. Collaboration with cross-functional teams and troubleshooting issues related to data infrastructure is also key.
As an Analytics Engineer at Givebutter, you will design and implement a data model for analytics, build and manage data pipelines, integrate various data platforms, and ensure data governance. Your role requires collaboration with stakeholders to meet short and medium-term data needs while maintaining high data quality and integrity.
The Lead Data Engineer will manage and mentor a data engineering team to deliver data solutions for clients. Responsibilities include overseeing data pipeline development, ensuring client integrations, applying data best practices, and managing project timelines while contributing hands-on to technical decision-making and code reviews.
The Data Architect will support and enhance Data & Analytics platforms, focusing on data movement and database technologies for analytics and ML/AI. Responsibilities include identifying performance bottlenecks, leading architectural development, designing end-to-end solutions, collaborating with various teams, and ensuring project alignment with best practices.
The Principal Data Engineer will design, develop, and maintain ETL pipelines for data acquisition and transformation. Responsibilities include collaborating with teams to understand data needs, utilizing AWS Glue, optimizing ETL processes, and applying data governance practices. The role requires strong technical skills in Python, Spark, and SQL, along with experience in data matching and analytics.
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The Senior Data Engineer will construct applications for global operations, collaborate with engineering and product teams, enhance existing systems, and develop new functionalities. The role involves working with large-scale data technologies and solving complex problems in a team-focused environment.
As a Senior Database Administrator, you will design, implement, and maintain scalable database systems in an AWS-Native environment. Your role includes modernizing database infrastructure, troubleshooting complex issues with development teams, and implementing robust backup and recovery processes to ensure data integrity and availability.
The Senior Analytics Engineer will lead the transformation layer of the data platform, integrating data from various systems and ensuring high data integrity and accessibility. Responsibilities include developing scalable integration patterns, maintaining change management, collaborating with teams across the company, and ensuring quality in new data models.
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