Top Data Engineer Jobs in Charlotte, NC

The Data Engineer II at Bestow will build data pipelines, improve data reliability, quality, and support MLOps, collaborating across teams to meet data needs.

As a Data Engineer at Zapier, you'll build scalable data systems, enhance product functionality through data, and collaborate with teams to improve data access and usability.

The Principal AI Data Engineer is responsible for designing and operating AI-driven data platforms, focusing on Snowflake and LLM integrations, while leading technical initiatives and mentoring teams.

The Data Engineer will build and maintain data solutions, optimize data architectures, and ensure data quality while collaborating with cross-functional teams.

The role involves architecting and maintaining marketing databases, implementing data infrastructure for AI/ML, managing data pipelines, and collaborating with stakeholders to develop data-driven solutions.

The Principal Engineer will lead the architecture and delivery of the enterprise Data Private Cloud, overseeing platform design, deployment, and compliance in a Kubernetes environment. Responsibilities include technical leadership, managing infrastructure, and implementing security standards.

The Data Engineer III role involves designing and maintaining scalable data pipelines, modernizing data flows, and improving data quality within Cedar's healthcare system. Collaboration with various teams is essential to ensure accurate data delivery and governance standards are met.

The Data Engineer will build and scale data pipelines for healthcare data, ensuring reliable data flow and supporting various analytics and product development needs.

The Full Stack Data Discovery Engineer will design scalable data pipelines, develop APIs and crawlers, and analyze external data. Responsibilities include conducting searches, data governance, and collaborating with stakeholders to integrate new data sources.

The Data Engineer Manager designs and executes data structures and processes to enhance business value through operational and analytical data assets, leading a team to deliver data solutions for strategic decision-making.

As an AWS Data Engineer II, you will design and maintain data ingestion pipelines on AWS, collaborate with teams, and optimize workflow performance.

The Senior Data Engineer will design, develop, and maintain robust data pipelines, collaborate with teams, and enhance data architecture.

As a Staff Data Engineer, lead the technical roadmap for data infrastructure, manage complex data architectures, and mentor engineers while driving the organization's data platform innovations.

Lead the development of AI solutions and data engineering strategies. Implement AI data pipelines, collaborate with teams, and ensure the reliability of data systems.

Lead the development of AI data pipelines, improve data capabilities, integrate AI solutions, mentor team members, and ensure operational efficiency.

The Test/Data Engineer collaborates with teams to collect, analyze, and report data on pump performance, improving engineering and manufacturing processes.

This role involves architecting an AI-powered data pipeline platform, leading teams, collaborating with stakeholders, and promoting best practices in cloud-native development.

As a Data Engineer, you will design and maintain data pipelines, build data storage systems, and support analytics workflows, ensuring data reliability and performance. You will collaborate with engineers to define data structures and improve data management practices.

The Senior Data Engineer at Unchained will design and implement data pipelines, integrate APIs, ensure data governance, and mentor team members while focusing on accuracy and security.

Lead AI data engineering initiatives, implement AI data pipelines, develop AI-driven systems, collaborate across teams, and mentor juniors. Ensure data reliability and implement best practices in engineering.

The Senior Data Engineer will manage data infrastructure, build data pipelines, develop dashboards for analytics, and ensure data quality while collaborating with various teams.

Lead the architecture and development of robust data pipelines and backend services for MLS data, integrating AI solutions and ensuring data quality.

Design and manage data pipelines for healthcare clients, ensuring compliance with data regulations, and transforming health data into actionable formats.

The Senior Data Scientist will conduct analyses to guide decision making, own data metrics, and influence stakeholders using statistical rigor and expertise in SQL and Python.

The Senior Backend Engineer will design and implement features for a SaaS product, focusing on backend systems, data modeling, and improving team capabilities.