Top Data Engineer Jobs in Charlotte, NC

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 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.

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 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.

Lead the design and implementation of data systems, creating robust pipelines, ensuring data quality, and optimizing performance for enterprise decision-making.

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

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 role involves architecting and developing Python-based data applications for business process automation, requiring collaboration and technical mentoring within a data engineering team.

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.

Lead the development and evolution of a modern data lakehouse, manage project life cycles, mentor team members, and ensure data quality and operational standards.

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