Top Data Engineer Jobs in Raleigh, NC

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 role involves designing and implementing software solutions for data integration and building scalable data platforms. Responsibilities include enhancing data systems and promoting software engineering best practices.

Responsible for the architecture and implementation of key components of a modern data platform, driving technical innovation, mentoring engineers, and collaborating across teams to enhance platform capabilities and reliability.

In a future role, you will lead initiatives to build and improve data pipelines, collaborate with data scientists, and optimize performance and cost efficiency.

The Software Engineer will collaborate to build scalable data products and APIs, evolve data models, and drive architectural decisions for the Data Products team at Demandbase.

Design, build, and maintain data architectures, data models, and pipelines while ensuring data integrity and performance. Collaborate with stakeholders and optimize ETL processes.

Design, build, and maintain Kafka-based data pipelines, improve performance of data systems, and collaborate with engineers to ensure reliability and observability of data infrastructure.

As a Senior Data Engineer, you’ll develop and deploy scalable data services and complex ETL pipelines to analyze blockchain transactions at petabyte scale while collaborating with teams across TRM to enhance product offerings.

The Principal Software Engineer will provide technical and architectural leadership in data engineering, focusing on strategy, innovation, and ensuring successful production deliveries while fostering teamwork and mentoring.

As a Senior Software Development Engineer, you will design and implement high-performance infrastructure for Yahoo's user data systems, collaborate on API development, and ensure scalability across multi-cloud environments.

As a Senior Data Engineer, you will design and maintain data pipelines, collaborate with cross-functional teams, and drive data solutions, while ensuring data quality and optimization.

As a Software Developer, you will create training data for AI models, audit tool usage, write test cases, and improve technical outputs. No prior AI experience is necessary, but coding skills are critical.

The Senior Data Engineer will design, construct, test, and maintain architectures including databases and large-scale processing systems.

The Senior Data & Analytics Engineer will design and maintain data pipelines, develop analytics schemas, build visualizations, and perform deep-dive analyses to drive business decisions.

Lead the development and maintenance of data pipelines, backend services, and collaboration with product and analytics to ensure data quality and governance.

The Sr. Data Engineer will build and maintain data pipelines, ensure data quality, collaborate with teams, and participate in coding processes.

The Senior Data Analytics Engineer develops business intelligence solutions, works with clients, and creates reliable data solutions, specializing in Azure technologies and data analytics methodologies.

As a Senior Data Analytics Engineer, you'll analyze and deliver business intelligence solutions using the Microsoft Analytics stack, working directly with clients to meet their data needs.

As a Staff Data Engineer, you'll architect and build data pipelines, champion small data strategies, mentor teams, and ensure operational excellence in data workflows.

As a Senior Python Engineer at ClickHouse, you will enhance the Python ecosystem for data scientists and ML teams, ensuring efficient data integration and optimizing workflows within the open-source environment.

Lead the engineering team to design and implement scalable data solutions, enhance data integrations, and maintain high-quality code. You'll work on architecture frameworks, data pipelines, and play a key role in data product development.

Design, build, and maintain data pipelines, optimize performance and cost-efficiency, extend capabilities, and collaborate across teams to improve data governance and quality.

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

Architect, build, and own a data platform. Develop ETL/ELT pipelines and ensure data accessibility and reliability for customer products.

The role involves designing scalable data architectures, improving system efficiency, modeling data, promoting best practices, and participating in on-call rotations to resolve reliability incidents.