Top Data Engineer Jobs in Charlotte, NC

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 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 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.

Lead the architecture and delivery of the enterprise Data Private Cloud, overseeing Kubernetes-based ecosystems and ensuring technical excellence across data platforms, security, and compliance.

Lead engineering efforts in Cybersecurity focusing on log management, data pipeline architecture, and observability solutions. Mentor teams and design scalable frameworks.

Lead design, implementation, and optimization of Splunk-based security solutions. Manage log ingestion frameworks and mentor junior engineers.

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

The Associate Analytics Engineer transforms raw data into usable datasets, focusing on data modeling, quality checks, and collaboration with analysts and 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.

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

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 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 work on data projects, creating pipelines and models, engaging stakeholders, and ensuring data quality and efficiency.

Lead AI data engineering initiatives, implement AI data pipelines, develop AI-driven systems, collaborate across teams, and mentor juniors. Ensure data reliability and implement best practices in engineering.

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.

The Sr. Network Data Center Engineer will design and manage network infrastructure, ensuring high availability, security, and performance for virtual environments and storage systems.

In this full stack role, you will build features around data pipelines and LLMs, create web APIs, and work on analytics tools ensuring data quality and processing capabilities.

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 Senior Data Engineer designs and maintains data platforms and ETL pipelines, mentors peers, and leads complex projects to enhance community civic engagement.

The Staff Analytics Engineer will lead technical initiatives to design, implement data products, and guide cross-functional teams in developing scalable analytics solutions at Upside.