Top Data Engineer Jobs in Charlotte, NC

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

The Senior Software Engineer will develop and implement software solutions, create data pipelines, APIs and ensure data quality and security in a collaborative team environment.

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 Principal Data Engineer will design and develop scalable applications, implement cloud solutions, manage data in financial domains, and collaborate with teams to enhance delivery and security.

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 Sr Backend Data Engineer, you'll develop and optimize backend systems and APIs, focusing on Generative AI integration and AWS services, while ensuring secure, scalable architecture.

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 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.

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

Lead the design and implementation of scalable streaming data pipelines, collaborate with teams, ensure data quality and performance, and mentor engineers.

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

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

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.

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 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 build scalable data integration frameworks and pipelines, ensuring data accuracy and collaborating with stakeholders to improve data management.

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.

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

As a Senior Data Engineer, you will build scalable systems for financial operations, develop event-driven pipelines, and ensure data integrity and quality.

The Data Engineer designs, develops, and optimizes data pipelines using Snowflake, collaborating with data scientists and operational leaders.

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

The Data Engineer will enhance the Enterprise Data Warehouse by modernizing ETL processes, ensuring data integrity, troubleshooting production issues, collaborating with teams, and contributing to technical governance.