Top Data Engineer Jobs in Charlotte, NC

The Principal Data Engineer will design and optimize data pipelines for security analytics while collaborating with various teams to enhance data-driven security outcomes.

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.

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

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 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.

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 Principal Engineer will lead the design and strategy of the Data Private Cloud, focusing on technical architecture, platform engineering, and ensuring compliance and security across the data ecosystem.

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 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 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 build data reporting capabilities, write ETL processes, troubleshoot software for data integrity, and lead solution development while collaborating with clients to meet their data needs.

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.

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.

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.

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

Design and maintain data pipelines using Snowflake and Matillion, optimize ETL processes, ensure data quality, and collaborate with cross-functional teams.

The Data Engineer will design and implement data pipelines, manage Looker, automate deployment, and ensure data quality for business reporting needs.

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.

As a Senior Data Engineer, you'll design and maintain data pipelines, develop data models, and optimize data infrastructure on AWS while collaborating with product and engineering teams.

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.

Lead the design and execution of data solutions that enhance customer-facing applications and analytics, partnering with stakeholders to align data strategies with product features.

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