Top Data Engineer Jobs in Atlanta, GA

The Data Engineer I processes and validates structured and unstructured data, supports product development, and monitors emerging technologies.

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

The role involves designing, developing, and maintaining scalable distributed systems for data delivery, analytical databases, and data retrieval processes. Responsibilities include optimizing performance, collaborating with teams, and enhancing customer-facing APIs.

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

Lead the data engineering team, overseeing the development of data pipelines and ensuring high-quality standards. Collaborate globally, optimize processes, and mentor team members.

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.

Lead design and implementation of database schemas and ETL processes, optimizing performance and debugging issues, while mentoring junior engineers and ensuring adherence to best practices.

Design and operate cybersecurity protective technologies with a focus on data security, ensuring robust protection and operational efficiency.

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.

CapTech seeks Data Engineers to develop data pipelines on AWS, Azure, or GCP, collaborating to optimize data architecture solutions.

The FinOps Engineer will implement cloud cost optimization practices at FanDuel, focusing on AWS cost management, reporting, and efficiency across data platforms, ensuring financial accountability.

Responsible for building and (re)architecting payment capabilities and financial data platforms while mentoring engineers and collaborating with cross-functional teams.

The Data Engineer II will develop data solutions for product modernization, manage complex data, and ensure quality, governance, and security of data products.

The Principal Data Engineer will define and implement data architecture, manage pipelines, ensure data quality, and lead collaborative data product initiatives.

The Senior Director of Enterprise Data Enablement will lead initiatives in data engineering, dashboard development, data modeling, automation, and advanced analytics to enhance business insights and decision-making.

As a Staff Data Engineer, you will develop, maintain, and lead data infrastructure projects, enhance data platforms, and mentor junior engineers.

This role involves designing, building, and maintaining data pipelines and systems, ensuring data accuracy and usability for analytics and reporting. Key responsibilities include optimizing dbt models, applying dimensional modeling techniques, troubleshooting data issues, and collaborating with data analysts to provide reliable reporting.

The Senior Software Data Engineer will design and optimize cloud-based data pipelines, utilizing Python and AWS services to deliver scalable data solutions, mentor junior engineers, and ensure compliance with security and quality standards.

The ITSM Data Engineer at AIG will analyze ITSM data, develop data models, build dashboards, and improve service efficiency. Strong collaboration with IT operations teams is essential.

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.

The Data Engineer I will build and operationalize data solutions, analyze data sources, design data processes, and collaborate to enhance the analytics landscape.

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.

The Lead Data Engineer is responsible for designing, developing, and maintaining ETL pipelines to manage financial data, ensuring compliance and business intelligence.