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 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 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 Senior Software Engineer, you'll develop and implement complex software solutions, collaborate with teams, automate processes, and design scalable data pipelines.

As a Senior Staff AI Data Engineer, you will design and optimize data pipelines, mentor team members, and collaborate with stakeholders to produce high-quality data products for analytics and machine learning, leveraging cloud platforms and AI technologies.

Lead the development of AI solutions and data engineering strategies. Implement AI data pipelines, collaborate with teams, and ensure the reliability of data systems.

Lead the development of AI data pipelines, improve data capabilities, integrate AI solutions, mentor team members, and ensure operational efficiency.

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

Design, implement, and operate event-driven distributed systems and data pipelines; ensure reliability, observability, and security of data infrastructure.

The Senior Data Engineer will manage data infrastructure, build data pipelines, develop dashboards for analytics, and ensure data quality while collaborating with various teams.

Lead the evolution of SimplePractice's data stack, building scalable systems for analytics, reporting, and product insights in a fast-paced environment.

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.

As a Sr GenAI Data Engineer, you'll develop AI-driven data systems, support generative AI solutions, and mentor team members. Responsibilities include building data pipelines and ensuring data system reliability and scalability.

As a Data Engineer, you'll develop data pipelines, advise clients on cloud technologies, and collaborate on data architecture solutions to maximize data value.

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 Senior Data Engineer will manage PostgreSQL databases, develop data engineering solutions, and support ETL processes using various technologies while collaborating across teams to enhance data quality and infrastructure.

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 Senior Software Engineer will enhance AI-based products, collaborate on data pipelines and ETL tasks, and establish data architecture best practices.

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 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.

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

The role involves developing and implementing updates to SAP BW, working with Azure data solutions, leading projects, and ensuring data governance.