Top Data Engineer Jobs in Charlotte, NC

The AI Automation Lead will architect and deliver multi-agent AI workflows, develop full-stack applications, and lead technical decisions across engineering teams.

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

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.

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

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 design and migration of a data platform architecture. Manage data pipelines, mentor teams, and ensure platform reliability.

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

Develop and manage SQL databases, optimize queries and pipelines, implement ETL workflows, and ensure data security and integration. Requires robust coding skills for cloud infrastructure support.

The Data Engineer will design and maintain ETL pipelines on Databricks, ensuring data quality and performance for banking applications, while mentoring junior engineers.

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 Senior Data Engineer will design and implement scalable data models in BigQuery using dbt for analytics and reporting, ensuring data governance and optimal performance.

The Senior Data Engineer will develop real-time streaming data pipelines for pricing algorithms and machine learning models, ensuring low-latency data delivery and system reliability. Responsibilities include collaborating with other teams, defining architectural standards, and mentoring junior engineers.

Lead design and evolution of data interfaces, mentor team, support integrations for live clients, and enhance data tools for scalability and efficiency.

The Sr. Data Privacy Engineer leads privacy engineering initiatives, develops scalable privacy solutions, and ensures compliance with global privacy regulations while mentoring team members and managing the organization's data privacy program.

The Principal Data Platform Engineer leads the design of data architectures, implements data platform patterns, and optimizes system performance, ensuring data strategy operates at scale.

As a Data Engineer, you'll deliver scalable data solutions, participate in technical discussions, and ensure timely, trustworthy data delivery through robust pipelines.

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 Staff Data Engineer, you will design and optimize data infrastructure, collaborate with stakeholders, ensure data quality, and provide technical leadership while owning architectural improvements and driving operational excellence.

As a Principal Security Engineer in Data Security, you will spearhead Upstart's data security program, architect software solutions, partner cross-functionally, and mentor teams while ensuring effective protection of sensitive data.

Lead the development of healthcare applications and data systems, focusing on audience intelligence and compliance. Design scalable data pipelines, APIs, and reporting systems while ensuring high data quality and security in regulated environments.

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.