Top Data Engineer Jobs in Charlotte, NC

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

The Data Engineer will create data pipelines, manage and maintain data architecture, and improve the data processing systems, focusing on automation and efficiency in delivering data insights.

As a Senior Data Engineer specializing in Hadoop, you'll develop and implement scalable data solutions, lead data requirement analysis, and consult on data migration, focusing on performance and security.

The Senior Staff AI Data Engineer will design ETL/ELT pipelines, mentor junior staff, and optimize data products while implementing best practices for analytics and compliance in a hybrid cloud environment.

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

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

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 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.

As a Senior Software Engineer, you will develop and maintain high-scale data platforms, write Java code for event pipelines using Spark, and manage a new graph database to enhance data access for analytics and threat hunting.

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 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.

The Sr Data Engineer will design, implement, and maintain deployment and ETL pipelines while integrating various data sources and ensuring efficient developer experiences.

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

Lead technical discussions and design products based on vehicle telematics data. Collaborate with teams, ship features, and ensure customer satisfaction using real-time data insights.

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.

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.

Lead Data & AI Engineer responsible for architecting and implementing intelligent analytics for a surveillance cloud platform, requiring strong skills in data pipelines, AI model management, and modern cloud technologies.

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.

The Senior Data Engineer role involves designing scalable data pipelines, developing workflows using Databricks, and integrating with Azure DevOps for CI/CD. Collaboration with data stakeholders and optimization of data processes are key responsibilities.

The Junior Data Engineer will develop and support ETL processes in the Enterprise Data Warehouse, enhance data transformations, and collaborate with teams for technical solutions. Responsibilities include production support and documentation.

Develop and maintain software applications for data processing, collaborate with teams to meet data requirements, and implement data quality checks.

As a Data Engineer, you will manage data collection and transformation, optimize performance, and support business analytics by developing ETL pipelines and ensuring data integrity in a distributed environment.