Top Data Engineer Jobs in Charlotte, NC

As a Senior Associate in Data Engineering at PwC, you will design and implement data architecture strategies, analyze complex issues, mentor junior members, and build client relationships while ensuring adherence to project standards.

As a Senior Manager in Data Engineering, you will lead teams to design data architectures, develop data solutions, manage client engagements, and ensure compliance with data governance policies.

Lead data engineering projects, develop and implement data pipelines and architecture strategies, manage data quality, and mentor team members at PwC.

As a Data Engineer at Edmunds, you will architect and maintain data platforms for analytics and AI/ML, ensuring scalable, reliable data processing and supporting cross-functional collaboration.

The role involves architecting and maintaining marketing databases, implementing data infrastructure for AI/ML, managing data pipelines, and collaborating with stakeholders to develop data-driven solutions.

As a Data Engineer II, you will build and optimize data pipelines in Databricks, ensure high-quality data delivery, and support generative AI applications. You will collaborate with data scientists and AI engineers to provide reliable data infrastructures and meet business needs.

Lead the architecture and development of high-performance systems for the Capital Markets Reference Data, ensuring operational excellence and compliance while mentoring engineers.

Develop and enhance the Reference Data Platform, focusing on back-end development using Java and modern frameworks while ensuring compliance and quality. Collaborate on complex initiatives, support data quality, and leverage AI tools for software solutions.

The Senior Data Engineer will design, build, and operate scalable data pipelines for high-performance racing programs, utilizing cloud architecture and streaming systems to support real-time data delivery.

As a Senior Associate, you will design data solutions, manage ecosystems, mentor junior members, and maintain high standards while building client relationships. The role requires analyzing complex problems and delivering quality work.

As a Manager in Managed Services, you'll lead data ecosystems projects, mentor juniors, manage client accounts, and deliver data strategies to optimize operations and drive insights for clients.

The Data Engineer will build real-time data pipelines for pricing algorithms, collaborate with teams, and contribute to batch data workflows.

Lead a team in delivering encryption solutions, focusing on data protection. Manage resources, develop strategies, and collaborate with stakeholders to align projects with enterprise priorities.

Join as an Associate Data Engineer, providing development support on data assets, participating in immersive training, and building data pipelines using Python, ETL, and PL/SQL.

The Principal Engineer designs and operates multi-tenant enterprise data platforms, ensuring scalability, security, and performance for various data workloads. Responsibilities include leadership, architecture decisions, and overseeing platform lifecycle management.

As a Backend Engineer, you will design and implement core infrastructure for Vannevar's platform, ensuring standards for data processing, security compliance, and performance. You will collaborate with various teams to enhance shared infrastructure and lead technical initiatives.

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.

As a Senior Data Engineer, you will design scalable data solutions, build data pipelines, and support MLOps and Generative AI development while mentoring junior engineers.

The Senior Data Engineer II will design and maintain scalable data pipelines, collaborate with teams on machine learning workflows, and ensure data accessibility across systems.

The Senior Data Infrastructure Engineer will design and build scalable data systems, manage data pipelines, and enhance infrastructure quality while driving team collaboration and efficiency.

The MDM Data Engineer is responsible for configuring and optimizing the Profisee MDM platform, ensuring data quality, integrating systems, and collaborating with stakeholders for data governance.

The Data Engineer will design and maintain ETL pipelines, ensure data accuracy and accessibility, and document business requirements.

Lead design and implementation of shared, reusable analytics data models and pipelines. Drive standardization, governance, observability, and CI/CD for analytics; partner with Data Science, Infrastructure, and Product to certify metrics, modernize orchestration, and integrate AI-native tooling.

The Data Automation Engineer will identify automation opportunities, design and build solutions across cloud platforms, and engineer production-ready jobs using multiple programming languages while tracking automation impact.

Design and manage data pipelines for healthcare clients, ensuring compliance with data regulations, and transforming health data into actionable formats.