Top Data Engineer Jobs in Atlanta, GA

The Principal Platform Engineer will lead the technical strategy for infrastructure management within Cargill's global data platform. Responsibilities include guiding teams in the use of modern engineering practices, managing automated infrastructure, and ensuring effective disaster recovery strategies.

The Principal Architect Data Engineer will lead the design and delivery of scalable data warehouse and lakehouse solutions on AWS using Databricks. Responsibilities include managing data movement, building data pipelines, and ensuring data products meet business needs, while collaborating with Agile teams.

The Data Security Engineer will implement and maintain secure data infrastructure, ensure compliance with industry standards, collaborate with security and data teams, and enhance data protection by designing secure data pipelines and mitigating risks.

As a Principal Data Engineer, you will design and develop data pipelines, build data models, and ensure data security and compliance for various business teams. You will drive innovation in data management, support operational activities, and facilitate effective communication among technical teams while adhering to agile methodologies.

As a Staff Engineer, you will design and build secure and efficient microservices for data collection on millions of vehicles, create user experiences, leverage automation for high-quality delivery, and manage global applications, ensuring availability and supporting the team. Mentorship involvement is also expected.

The Data Engineer I is responsible for building and maintaining data pipelines, performing ETL processes, and providing data analysis to support machine learning projects. The role involves collaborating with data scientists, optimizing existing systems, and implementing best practices for data management.

As a Data Engineer I, you will develop and operationalize data solutions to support business intelligence and analytics. This includes building data pipelines, ensuring data quality, collaborating across teams, and implementing data governance practices. You will also diagnose and resolve data issues while testing data movement and transformation processes.

As a Data Engineer I, you will construct and operationalize data pipelines to provide accessible data to the enterprise, support data governance, and collaborate to enhance analytics capabilities. You will be responsible for analyzing data sources, designing solutions, and resolving data-related issues.

As a Data Engineer II, you'll construct data pipelines to facilitate easy access and transform analytics data for the Enterprise Underwriting team. Responsibilities include building complex data solutions, performing analysis, managing data governance, collaborating with teams, and ensuring high data quality, while also mentoring and supporting team members.

As a Data Engineer II, you will build and operationalize complex data solutions, design data architectures, and analyze data processes while collaborating with teams and ensuring data quality and governance. Your role will support the analytics landscape with tools and methodologies necessary to enable AI, machine learning, and business intelligence.

As a Data Engineer I, you will build and operationalize data solutions, analyzing data sources, incorporating data management practices, and collaborating across teams to enhance the analytics landscape. You'll work on data movement, transformations, and testing while addressing defects in systems and supporting the implementation of data products.

The Data Engineer II will build and operationalize data solutions, perform system analysis, collaborate across teams, and ensure data quality while utilizing various technologies including AWS, Python, and SQL to support analytics and machine learning initiatives.

The Data Engineer will design, develop, and maintain scalable data pipelines to support analytical and operational needs. Responsibilities include collaborating with data teams to create analytical solutions, integrating disparate data, and preparing analysis-ready datasets.

The Senior Data Scientist- Application Developer will design and develop analytics applications for Cox's Service Health platform. This role involves creating scalable architecture, integrating data models, and utilizing AWS services while ensuring quality through best practices in software engineering and testing. The position requires expertise in both data science and software development to support and enhance the organization’s data capabilities.

The Sr. Cloud Data Engineer at Regions will evaluate, design, and execute data structures and processes to deliver operational and analytical data assets. Responsibilities include building data pipelines, ensuring data readiness for business use cases, collaborating with stakeholders, and supporting data solutions to maximize business value.

The Data Engineer will design and maintain databases, ensuring accuracy, security, and performance. They will handle database replication, optimize systems for high availability, and work with both on-prem and cloud infrastructures while collaborating with development teams to provide technical solutions to data problems.

Develop and maintain a scalable data platform and pipelines for processing large volumes of telematics data. Collaborate with data scientists and enhance data governance and quality checks, while leading and mentoring junior engineers.