Top Data Engineer Jobs in Atlanta, GA

As a Staff Cloud Data Engineer, you will architect and design scalable cloud data solutions, manage data infrastructure, and lead engineering teams in delivering complex data projects with a focus on performance and compliance.

Lead data engineering solutions for healthcare clients, architecting data pipelines and cloud architectures while collaborating with cross-functional teams to meet business needs.

As a GCP Data Engineer Manager, you'll lead data engineering projects, develop data architectures, mentor teams, and enhance data solutions for clients.

Senior Manager in data engineering at PwC, responsible for designing data architecture, leading projects, and ensuring compliance with data governance while mentoring teams and driving strategic project success.

The Senior Software Engineer will develop RevDB, a time series data platform, enhancing scalability and performance for enterprise applications.

The Senior Data Engineer will build and optimize data pipelines, create data architecture, support Business Intelligence, and work with data scientists and architects.

The Senior Data Engineer develops scalable data pipelines on Azure Databricks, optimizing CRM data integration and supporting analytics for marketing strategies, customer engagement, and operational efficiency.

As a Cloud Data & Analytics Engineer at PwC, you'll lead technology workstreams, mentor others, build client relationships, and develop scalable data solutions using cloud technologies.

The role involves developing and deploying AI models, managing complex data preparation, and collaborating with stakeholders to drive decision-making.

The Senior AI Platform Engineer manages Cargill's AI-assistant platform, ensures its performance and compliance, and conducts upgrades and optimization.

As a Data Engineer, build and deploy data solutions, manage data quality, and collaborate across teams to optimize the analytics landscape.

The Data Engineer will design and build scalable data pipelines using cloud platforms, ensure data accuracy and performance, and support data product development in healthcare revenue cycle management.

Lead the design and development of cloud-native big data solutions for generative AI. Collaborate with teams to innovate and implement data pipelines.

The Data Engineer II will develop and maintain data engineering solutions for Generative AI, collaborating with data scientists and engineers to integrate AI models and optimize data processing activities.

The Advisor, AI & Data Science leads AI strategy development, implements solutions for decision-making, and improves processes through technical leadership in AI operations and governance.

The Gen AI Data Engineer I will develop and maintain data engineering solutions, collaborate with teams to implement AI-driven applications, and ensure system reliability and scalability.

The Senior Data Engineer will design and build cloud-based data pipelines and collaborate with teams to create data-rich applications.

As a Data Engineer I, you will build and operationalize data solutions, design data management processes, and enhance the analytics landscape.

As a Data Engineer, you will construct data pipelines, design data solutions, perform data analysis, and collaborate to enhance analytics capabilities.

As a Principal Data Engineer, you will design analytical solutions, manage client engagements, and develop data pipelines using modern tools and best practices while mentoring a small team.

The Data Engineer will design, build, and maintain data pipelines, ensure data quality, and collaborate with stakeholders to deliver analytical solutions.

As a Data Engineer, you will design and build data solutions, analyze complex datasets, ensure data quality, and collaborate across teams.

Lead the design and development of cloud-native big data solutions, enabling innovative AI models and analytics while ensuring scalability and sustainability.

The Senior Manager will design and develop advanced data solutions, lead technology workstreams, implement data pipelines, and ensure data quality while coaching teams and managing client relationships.

The Data Engineer will design and maintain ETL/ELT pipelines, leverage Azure data services, and contribute to cloud migration efforts.