Top Data Engineer Jobs in Charlotte, NC

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.

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.

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.

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

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 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 Backend Engineer will design and implement features for a SaaS product, focusing on backend systems, data modeling, and improving team capabilities.

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

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.

Design and build integration frameworks for data flows between Granted and external partners, focusing on reliability and performance while utilizing AI for automation.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

As a Software Engineer III, you will focus on petabyte-scale data ingestion, solving distributed systems challenges, and collaborating on cross-team initiatives while ensuring high-quality feature delivery.

Lead the architecture and development of a scalable, cloud-based intelligent analytics platform focused on video and sensor data for AI applications. Responsibilities include designing data pipelines, maintaining cloud infrastructure, and deploying AI models.

Lead the design and implementation of distributed data systems for cloud applications, mentor engineers, and enhance software delivery with automation.

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 Senior Data Engineer II will build and maintain data pipelines, support ML workflows, and enhance data architecture within the Data Department, contributing to the integration of ActBlue's internal data platform with user applications.

The Sr. Data Engineer will design data collection infrastructure, support BI, manage datasets, and lead projects in data management and visualization.

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.

The role involves developing and maintaining data pipelines, managing critical data sources, improving data architecture, and mentoring junior team members in a collaborative environment.

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.