Top Data Engineer Jobs in Charlotte, NC

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 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.

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.

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.

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

The Data Engineer designs, develops, and supports ELT/ETL processes, collaborates with stakeholders, and enhances data infrastructure for decision-making.

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.

Design, build, and maintain scalable data pipelines, automate workflows with Airflow/Python, develop PostgreSQL models, deploy analytics across Linux environments, and create Power BI datasets and dashboards to support Finance, Operations, and Customer tools.

As a Data Engineer, you will design and maintain data pipelines, build data storage systems, and support analytics workflows, ensuring data reliability and performance. You will collaborate with engineers to define data structures and improve data management practices.

The Senior Data Platform Engineer will manage and develop the data infrastructure on Databricks and AWS, ensuring scalable and efficient data capabilities while collaborating across teams.

Lead the architecture and development of robust data pipelines and backend services for MLS data, integrating AI solutions and ensuring data quality.

The Senior Data Engineer will build and maintain data pipelines, create reusable data sets, and ensure data privacy and security, contributing to healthcare innovations.

The Senior Backend Engineer will design and implement key SaaS features, focusing on data modeling and API performance, while collaborating with a senior development team to enhance engineering operations.

The Senior Data Engineer will design, build, and operate data pipelines for Zeta's AdTech platform, focusing on high-scale data processing and analytics-ready datasets.

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.

Lead the buildout of a new enterprise data platform, designing infrastructure, pipelines, and storage while ensuring data governance and quality.

As the first in-house Data Engineer, you will own the data infrastructure, build and maintain data pipelines, and collaborate with teams to ensure quality data access and insights.

Lead the evolution of data platform by designing scalable pipelines, improving data processes, mentoring teams, and modernizing data architecture.

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.