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 data pipelines, platform optimization across hybrid/cloud, tooling to detect data issues, enforce governance, and consult partners to resolve complex data engineering challenges.

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

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.

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

The Data Engineer will design, build, and optimize data pipelines, ensuring data reliability and scalability while leading best practices in engineering.

The Analytics Engineer transforms raw data into quality data products for BI and reporting, manages data modeling, and ensures data accuracy through collaboration and automation.

Design and optimize data infrastructure, develop scalable ETL pipelines, manage cloud-native solutions on AWS, and mentor junior engineers.

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.

Lead design and implementation of a unified event-tracking data platform. Collaborate with Data, Product, and Engineering to build reusable event-publishing frameworks, monitoring/alerting, and deprecate legacy systems. Coach mid-level engineers, influence roadmap and processes, manage cloud/SaaS spend, create documentation, and participate in on-call rotations to ensure platform reliability and data trustworthiness.

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.

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

The Sr GenAI Data Engineer will design and implement AI-driven data solutions, improving data capabilities and integrating with enterprise systems while mentoring junior team members.

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

Develops ETL processes and database systems, ensures data integrity, collaborates with clients, leads solution development, and mentors junior engineers.

Design and implement scalable data orchestration and processes, optimize data operations, and support building various platform areas.

The Data Engineer will design and maintain ETL pipelines and data storage solutions, collaborating with cross-functional teams to ensure efficient data processing and delivery.

As a Senior Associate, you will analyze complex issues, mentor junior members, and maintain data integrity through testing and validation processes.

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

Seeking a Senior Data Engineer to design and optimize data architecture and pipelines, ensuring data quality and enabling advanced analytics through AI and machine learning techniques.

Hands‑on senior engineer to design, deploy, and operate enterprise data protection capabilities (Microsoft Purview, DLP, DSPM). Responsibilities include data discovery, classification, labeling, encryption, detection logic, integration with identity/endpoint/SIEM, incident support, automation, and cross‑functional partnership to reduce data exposure and improve control effectiveness.

The role involves building data infrastructure, maintaining ETL pipelines, collaborating with analysts, and improving data models and processes.

The Senior Data Center Linux Engineer manages Linux servers, troubleshoot issues, develops automation scripts, ensures secure configurations, and deploys containerized applications.