Top Data Engineer Jobs in Charlotte, NC

Lead design and engineering of an enterprise graph database platform for fraud and claims. Build graph data models, large-scale pipelines, and platform optimizations across hybrid/cloud environments. Develop tooling to detect data/application issues, review complex enhancements, ensure security and compliance, and collaborate with stakeholders to resolve high-risk data engineering challenges.

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

Lead the design, development, and deployment of machine learning models for fraud detection and cybersecurity analytics, while advising leadership and optimizing business solutions.

The Lead Equities Post-Trade and Data Platform Engineer will develop the Equities Data & Analytics Hub, ensuring efficient operations and mentoring software engineers.

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.

Design, develop, deploy, and improve machine learning models for fraud detection and cybersecurity. Collaborate with teams to address business challenges and impacts.

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.

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

The Cloud Data Engineer designs and builds data pipelines, cloud infrastructure, and AI models, while collaborating with various technical teams to ensure efficient data architecture and integrity.

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

The Lead AI Data Engineer designs and optimizes ETL/ELT pipelines, mentors team members, collaborates on data models, and implements best practices in data governance and security.

Intern will collaborate with teams to gather requirements, develop data governance policies, enhance data pipelines, implement monitoring solutions, and maintain documentation.

The Data Engineer will build and maintain Python-based ETL pipelines, manage data ingestion from various sources, and collaborate with analytics teams to ensure quality data delivery.

The Associate Data Engineer will build and optimize data infrastructure, transform raw data into insights, develop data pipelines, and ensure data quality and governance.

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

Design, build, and maintain scalable data pipelines, automate workflows with Airflow/Python, develop PostgreSQL models, deploy analytics across Linux environments, and create Power BI datasets and dashboards to support Finance, Operations, and Customer tools.

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

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 handles ChowNow's data platform, collaborating with teams to enhance data availability and insights, supporting internal and customer-facing products.

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

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

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 design and implementation of shared, reusable analytics data models and pipelines. Drive standardization, governance, observability, and CI/CD for analytics; partner with Data Science, Infrastructure, and Product to certify metrics, modernize orchestration, and integrate AI-native tooling.