Top Data Engineer Jobs in Charlotte, NC

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

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 Senior Data Engineer will design, build, and maintain data solutions for risk management, focusing on data warehousing and pipeline development. They will mentor other engineers and drive data strategy.

The Data Engineer will design and implement data pipelines, manage Looker, automate deployment, and ensure data quality for business reporting 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 Engineer will ensure security is integrated into Wells Fargo's product designs, provide security guidance, and develop secure frameworks while operating across multiple security domains.

The Principal Engineer will design and implement graph-based data platforms for cyber defense, guide engineering teams, and lead advanced analytics use cases.

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 a Data Engineer, you will design and develop data pipelines, optimize workflows, and ensure data quality by working with stakeholders and integrating various data sources using Azure technologies.

The Data Engineer will work on data projects, creating pipelines and models, engaging stakeholders, and ensuring data quality and efficiency.

Lead and develop a data engineering team to modernize Investor Experience systems, ensuring high-quality data delivery and collaboration across departments, utilizing modern technologies and Agile practices.

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.

As a Senior Associate, you will develop and implement IBM MDM solutions, mentor junior team members, and manage data quality frameworks while providing insights from data analysis.

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

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

As Lead Data Engineer, you will guide a team, manage the data platform, and oversee the development of ML infrastructure and feature stores.

As a Sr Software Engineer, you will develop scalable data pipelines, collaborate with teams to improve data integration, and mentor peers while leveraging your expertise in data engineering tools.

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

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

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.

As a Senior Data Platform Engineer, you'll design data infrastructure and APIs, develop scalable data pipelines, and collaborate with teams on data solutions.