Data Engineer Jobs in Cary, NC

As a Data Engineer, you'll build and maintain data pipelines for analytics, focusing on Snowflake, while collaborating with teams to ensure data reliability.

Lead the Data Curation team, transforming complex biomedical and healthcare data into interoperable models, overseeing data integration and governance, and mentoring engineering staff.

As a Senior Backend Engineer, you'll lead data migration projects, design and optimize ETL pipelines, and ensure data quality and consistency across systems.

Collaborate to design, deploy and automate secure data infrastructure. Ensure data quality and compliance while mentoring team members. Drive innovative data solutions.

Lead the development of data products and applications using Palantir Foundry, optimizing pipelines, ensuring data quality, and mentoring team members in best practices.

Join the Global Value Engineering Center to consult, develop, and prototype AI-driven solutions using Celonis technology, enhancing business processes.

As a Senior Data Engineer, you'll design and develop models to integrate diverse data sources for analytics and AI applications, ensuring data consistency and quality across domains.

Transform Electronic Health Records (EHR) data into structured assets, build scalable data pipelines, and apply Generative AI techniques for analytics within a healthcare-focused team.

The Principal Data Engineer designs cloud-native applications, coordinates databases, automates processes with CI/CD, mentors juniors, and advises on technical strategy.

The Data Developer will design a scalable data ecosystem, enhance data models, develop ETL pipelines, ensure data quality, and support analytics.

As a Senior Associate, you will develop and implement IBM MDM solutions, mentor junior team members, and manage data quality frameworks while providing insights from data analysis.

Design, build, and manage data, analytics, and MLOps platforms on Azure. Automate infrastructure and ensure platform reliability while optimizing costs.

The AI and Data Engineer will design, build, and maintain AI solutions on cloud services, integrating with data sources and developing chatbots, while ensuring secure and efficient cloud infrastructure management.

The Data Engineer IV will lead the design and implementation of data solutions using Snowflake, develop ETL pipelines, mentor junior developers, and ensure adherence to data modeling best practices.

Develop and maintain scalable web applications and services for test automation and chip verification. Collaborate with teams to understand requirements and design user-friendly interfaces.

Develop and maintain ETL pipelines, ensure data integration, collaborate with teams, and optimize data workflows for efficiency.

As a Lead Data Engineer, you'll manage the entire data engineering lifecycle, architect ETL frameworks, and mentor a team, ensuring data quality and stakeholder alignment.

As a Senior Data Engineer, you'll lead the design and optimization of data pipelines, ensuring compliance with governance standards and mentoring junior engineers.

The Senior Data Engineer will lead the design and optimization of Netezza-based data solutions, overseeing data integration workflows and ensuring compliance with regulatory standards. They will mentor junior developers and drive continuous improvement in the data platform.

The Staff Engineer - Finance Data Specialist will develop and support a Finance Data Warehouse, collaborating with Finance and Tech teams on data management and analytical solutions.

The Sr. Data Engineer will design and optimize scalable data platforms, build data pipelines, and ensure data governance while collaborating with cross-functional teams.

The Staff Data Platform Engineer will design, implement, and maintain DB2 databases, ensuring integrity and high availability while supporting applications and managing database operations.

The Sr. Data Solutions Engineer will lead the design and implementation of cloud data strategies, manage data flow, ensure data integrity, and support application teams in data migration and cleansing.

The Web Data Extraction Engineer will design and implement data extraction solutions, utilizing programming languages and web technologies to monitor multiple external systems and retrieve public data.

Responsible for IT strategy and solutions in R&D, overseeing system integration, stakeholder collaboration, and project prioritization at Zoetis.