Top Data Engineer Jobs in Charlotte, NC

The Data Engineer will design and optimize data pipelines, ensure high data quality, and collaborate closely with data scientists and engineers.

The HR Data Engineer will enhance HR data foundations by designing scalable data pipelines, ensuring data quality, and collaborating with various teams to drive data-driven decisions in talent management and analytics.

Design and maintain data infrastructure for analytics and ML; develop ETL/ELT pipelines, cloud cost optimization, and data governance workflows.

As a Distinguished Data Engineer, you will drive the adoption of modern technologies, collaborate on key business challenges, and mentor talent while promoting engineering excellence.

As a Data Engineer III, you will develop and maintain high-performance ETL pipelines and scalable data processing systems on Google Cloud Platform, while collaborating with teams to deliver quality solutions.

Support systems processing billions of data interactions by building and optimizing ETL pipelines while collaborating with experienced engineers.

The Data Engineer is responsible for developing and implementing data solutions, ensuring applications meet business requirements, and supporting projects utilizing development life cycle practices. Key responsibilities include coding integrated solutions, testing coverage, peer reviews, and accessing various data systems. The engineer will also analyze data to create essential business metrics and help troubleshoot any issues.

The Data Engineer will create, maintain, and optimize scalable data pipelines on AWS, collaborating with teams for business insights.

The Data Engineer is responsible for designing, developing, and maintaining database structures and data pipelines, writing SQL queries, and optimizing ETL processes.

As a Data Engineer, you'll develop data assets, build pipelines, and ensure data quality for analytics, collaborating closely with business analysts.

Lead the design and development of machine learning pipelines, mentor teams, and implement solutions for business impact at LPL Financial.

This role involves developing data solutions, managing data pipelines, collaborating with stakeholders, and ensuring data quality within technology and business projects.

The Senior Data Engineer will design and maintain ETL pipelines, manage the Snowflake data warehouse, collaborate with Finance, and enforce data governance.

Develop AI solutions and data pipelines, collaborate on integrating systems, ensure reliability, and implement best practices for data engineering.

Lead AI Data Engineering efforts by developing AI solutions and data pipelines, mentoring junior engineers, and ensuring data processing and integration for generative AI applications.

The Senior Data Center Linux Engineer manages Linux servers, develops automation scripts, troubleshoots issues, and ensures secure configurations for performance and scalability.

As a Sr. Network Data Center Engineer, you'll design, implement, and maintain network infrastructures, ensuring high availability and security while optimizing performance and troubleshooting issues.