Top Data Engineer Jobs in Charlotte, NC

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.

As a Data Engineer II, you will build and optimize data pipelines, define reusable datasets, and create a data validation framework while ensuring user privacy and security.

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

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.

Design, develop, and improve machine learning models for fraud detection and cybersecurity. Collaborate with teams on real-time analytics and model deployment, ensuring compliance and performance in a high-impact role.

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.

The Data Engineer will develop data pipelines on AWS, Azure, or GCP, advise clients on cloud resources, and collaborate with users to optimize data architecture.

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 Senior Data Engineer will design, build, and maintain scalable party data solutions, integrating cloud-native platforms and improving legacy systems while mentoring junior engineers.

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.

As a Principal Security Engineer in Data Security, you will spearhead Upstart's data security program, architect software solutions, partner cross-functionally, and mentor teams while ensuring effective protection of sensitive data.

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

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 Senior Data Engineer will build and maintain data pipelines, create reusable data sets, and ensure data privacy and security, contributing to healthcare innovations.

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.

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.

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

Lead design and implementation of scalable, HIPAA-compliant data pipelines and platforms for healthcare ML. Build ETL, orchestration, and tooling for processing EHR, claims, pharmacy, and bioinformatics data; collaborate with data scientists to produce modeling-ready datasets and ensure data quality, reliability, and operational excellence.