Top Data Engineer Jobs in Charlotte, NC

Lead the design and engineering of secure data solutions, focusing on graph data modeling, large scale pipelines, and platform optimization to support fraud detection efforts.

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.

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.

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 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 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.

Lead complex initiatives to provide technological solutions for cross-functional businesses. Evaluate highly complex business problems and provide subject matter knowledge. Manage software engineering, conduct project documentation, and ensure effective communication between teams.

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.

As a Data Engineer II, you will design and support ETL/ELT data pipelines, work with AWS, Snowflake, and collaborate within an Agile team on data initiatives.

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

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 will design, develop, and maintain robust data pipelines, collaborate with teams, and enhance data architecture.

Data Engineer to develop data pipelines using AWS, Azure, or GCP, advise clients on cloud resources, and collaborate with stakeholders to enhance data architecture.

As a Senior Associate, you will analyze complex issues, mentor junior members, and maintain data integrity through testing and validation processes.

The Principal Data Engineer will design and optimize data pipelines, mentor team members, develop data products, and ensure data integrity while collaborating across teams.

Design and build scalable data platform infrastructure, ensuring data accessibility and reliability. Support teams in data transformations and foster collaborations for better decision-making.

As the founding engineer of the Data Intelligence team, you will design semantic layers, develop AI tooling, and automate data processes to drive business insights.

This role involves designing scalable data ingestion systems and building a centralized data lake on Apache Iceberg. Responsibilities include improving performance and reliability, collaborating with data engineers, and providing technical leadership.

The Data Protection Engineer will implement and maintain data protection capabilities, ensuring security against threats while balancing speed in a decentralized tech environment. Responsibilities include expanding data loss prevention measures, collaborating across teams, and automating processes.

The Senior Data Protection Engineer will lead and expand data protection capabilities at Coinbase, managing DLP strategies, implementing controls, and collaborating cross-functionally to enhance security and compliance while automating processes using AI/ML.