Top Data Engineer Jobs in Atlanta, GA

The Cloud Data & Analytics Engineer - Senior Manager is responsible for designing data solutions, developing data infrastructure, and leading teams to solve complex data challenges.

The Senior Data Engineer will develop scalable data platforms, manage data pipelines, support ML development, and mentor junior engineers.

The role involves designing, building, and supporting cloud applications for data management in millions of vehicles, emphasizing quality and operational reliability.

The Staff Data Science Engineer will develop and maintain streaming data and MLOps infrastructures to enable real-time market pricing and analytics at PrizePicks. Responsibilities include architecture design, collaboration with cross-functional teams, and mentorship of junior engineers.

As a Senior Data Science Engineer, you'll develop and maintain data streaming and MLOps infrastructures to support real-time market pricing at PrizePicks.

Architect, build, and maintain data infrastructure, handle large datasets, and collaborate with teams to achieve goals. Take ownership of solutions.

Develop and maintain large scale data streaming platforms, ensuring data integrity and guiding junior engineers while utilizing big data tools and cloud technologies.

This role involves developing actuarial solutions and data engineering practices for pricing strategies in insurance, ensuring data integrity, compliance, and optimization of workflows.

The Data Engineer II will build and operationalize complex data solutions, perform system analysis, and collaborate with teams to enhance the analytics landscape.

As a Lead Data Engineer, you will design and manage data infrastructure, shape data strategy, and oversee a high-impact engineering team, enhancing data-driven services in wealth management through innovation and collaboration.

The Sr. Cribl Data Engineer manages observability platforms, implements SIEM products, provides client support, and leads a Splunk team, requiring strong technical skills and effective communication.

As a Data Engineer, you will build and operationalize data solutions, manage data quality, and collaborate with teams to deliver insights.

Lead the development of cloud-native big data solutions for Generative AI at AIG, collaborating with teams to drive business insights and innovation.

As a Data Engineer II, you will build and operationalize data solutions, collaborate on complex data products, and enhance the analytics landscape.

As a Software Development Engineer, you'll develop machine learning features for Workday's HR & Talent products, collaborating with multi-functional teams. Responsibilities include designing APIs, building tools for ML capabilities, and participating in architecture reviews. You will apply modern ML Ops and data engineering stacks to improve Workday products.

The Data Engineer II role focuses on developing and maintaining solutions for Generative AI initiatives, collaborating with data scientists and engineers on data applications.

The Data Engineer will design, develop, and maintain data pipelines utilizing Azure technologies and modeling methodologies, ensuring data quality and accessibility.