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.

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.

As a Data Engineer at Vivian Health, you will build and maintain data pipelines, APIs, and contribute to product development using various technologies.

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.

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.

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

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

The GTM Data Engineer designs and manages a customer and revenue data foundation, ensuring data quality and availability for Marketing, Sales, and Customer Success teams, while overseeing data integration and reporting.

The Data Engineer role involves managing data operations, ensuring data quality and security, and developing data assets and infrastructure while collaborating with the team to optimize workflows and support decision-making processes.

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

The Data Engineer designs and builds data structures and pipelines to support analytics and data products, ensuring data quality and business needs are met.

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

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.

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

Lead design and evolution of data interfaces, mentor team, support integrations for live clients, and enhance data tools for scalability and efficiency.

Responsible for ensuring data integrity, designing automated testing frameworks, monitoring data pipelines, and collaborating with teams to define data quality standards.

As a Senior Data Platform Engineer, you will oversee the administration of Databricks and AWS, manage data engineering dev ecosystems, collaborate with teams on data needs, and mentor junior staff.

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 Principal Data Platform Engineer will lead the development of scalable data management systems, focusing on ingestion, processing, and analytics platforms while collaborating with cross-functional teams.

The Senior Data Engineer will design, build, and operate data pipelines for Zeta's AdTech platform, focusing on high-scale data processing and analytics-ready datasets.

Design and build scalable data integration frameworks and pipelines, ensuring data accuracy and collaborating with stakeholders to improve data management.