Data Engineer Jobs in Cary, NC

The Data Engineer collaborates with teams to build and maintain data pipelines, manage a data warehouse, and support blockchain analytics to enhance product development and decision-making.

This role involves designing and managing an Azure-based data platform for marketing analytics, integrating marketing technology, optimizing data pipelines, and ensuring data governance and compliance while implementing DevOps practices.

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

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.

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

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

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.

Design, develop, and implement data capabilities for Web applications, including database logic, testing, and mentoring junior staff, while optimizing performance and ensuring best practices.

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.

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

As a Data Engineer at Target RWE, you will develop data pipelines, translate business needs into technical solutions, and support cloud infrastructure to enhance operational efficiency.

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

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

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

The Sr. Data Engineer designs and builds scalable data platforms, optimizes data pipelines, collaborates with teams on data governance and automation using AWS and Snowflake, while mentoring junior engineers and improving CI/CD practices.

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.

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

Lead the design and delivery of large-scale solutions in Generative AI and Big Data, while mentoring teams and driving innovation.

Responsible for designing, building, and maintaining data infrastructure, managing AWS services, and ensuring data reliability for Ecosystem Security.

Responsible for designing and maintaining data infrastructure, building ETL pipelines, managing AWS resources, and collaborating on data services to enhance security.

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 Principal Software Engineer will design and build scalable data pipelines and analytics for IoT telemetry data, optimizing Spark jobs, utilizing cloud services, and implementing CI/CD in a DevOps Agile environment.

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.

The Lead Data Engineer will oversee technical design, lead a team, ensure data quality, and align data initiatives with business goals.