Top Data Engineer Jobs in Charlotte, NC

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

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.

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.

As a Data Engineer II, you will build, scale, and optimize data platforms, focusing on ETL/ELT pipelines, and collaborate with data scientists and AI engineers to support data-driven applications and insights.

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 Data Engineer will help build modern data infrastructure, designing ETL pipelines, modeling datasets, and collaborating with teams for improved data quality and accessibility.

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

Lead the design and implementation of scalable data platforms on Google Cloud, focusing on ingestion, transformation, and providing robust data capabilities for analytics and AI. Collaborate with teams to enhance the data ecosystem, enforce governance, and optimize workloads.

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.

Lead the design and implementation of scalable data platforms on Google Cloud, focusing on data governance, performance optimization, and reusable frameworks, while collaborating with cross-functional teams to enhance data capabilities.

Lead the design, build, and operation of scalable data capabilities on Google Cloud Platform, focusing on analytics and AI with reusable frameworks and tooling.

The Lead Data Engineer will design and implement scalable data platforms on Google Cloud, build reusable data frameworks, optimize data workloads, and collaborate with teams to ensure data governance and quality across projects.

Lead development of AI and ML solutions for healthcare systems, overseeing teams, driving use case development, and ensuring operational excellence while managing global delivery operations.

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

The Senior Staff Data Engineer will design scalable data systems, lead technical direction, optimize data platforms, and ensure data quality and performance for Observability & Insights.

The Senior Data Engineer will build and maintain data pipelines, optimize data processing, and ensure data privacy and quality within the healthcare tech space.

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

The Senior Staff Software Engineer will architect Affirm's lakehouse analytics platform, lead data governance efforts, mentor engineers, and collaborate across teams to optimize data solutions using Snowflake and other big data tools.

Lead design and implementation of a unified event-tracking data platform. Collaborate with Data, Product, and Engineering to build reusable event-publishing frameworks, monitoring/alerting, and deprecate legacy systems. Coach mid-level engineers, influence roadmap and processes, manage cloud/SaaS spend, create documentation, and participate in on-call rotations to ensure platform reliability and data trustworthiness.

The Senior Data Engineer will design, develop, and maintain robust data pipelines, collaborate with teams, and enhance data architecture.

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

Lead the development of AI solutions and data engineering strategies, implementing data pipelines and improving data capabilities while ensuring compliance with best practices.

The Lead Data Engineer delivers end-to-end data solutions, mentoring engineers, designing data architecture, and enhancing data pipelines across the organization.

As a Principal Specialist Sales Engineer for Data Security, you will partner with sales teams, deliver technical presentations, gather customer requirements, and lead product evaluations for SLED and Healthcare customers.