Top Data Engineer Jobs in Atlanta, GA

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.

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

Lead Data Engineer responsible for building and maintaining data solutions, automating processes, managing data transfers, and providing leadership on data engineering best practices.

The Data Engineer II will build and operationalize complex data solutions, perform analysis, collaborate across teams, and troubleshoot data issues. They will also ensure data governance, security, and quality while leveraging emerging technologies.

As a Data Engineer, you'll manage data access, support development and analytics teams, implement automated processes, engineer data pipelines, and ensure data accuracy.

As a Senior Associate, you will develop and implement IBM MDM solutions, mentor junior team members, and manage data quality frameworks while providing insights from data analysis.

Design and optimize data systems, create actionable insights, and transform raw data into clarity. Requires strong SQL expertise and communication skills.

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

The Sr. ETL Informatica Systems Engineer develops ETL applications for the EDW/BI program using Informatica tools, managing complex SQL and APIs.

The Staff Engineer - Finance Data Specialist will develop and support a Finance Data Warehouse, collaborating with Finance and Tech teams on data management and analytical solutions.

The Senior Data Platform Developer will build and maintain machine learning platforms, manage AI applications, and integrate data processes for Geotab's infrastructure.

Develop and maintain data infrastructure platforms for real-time processing, support data integration, and optimize systems at scale.