Top Data Engineer Jobs in Atlanta, GA
As a Tableau Administrator at GitLab, you will manage Tableau Cloud environment, provide technical support, collaborate with analytics teams, and optimize Tableau efficiency. This role requires effective communication, collaboration skills, and the ability to thrive in a fully remote organization.
The VP of Corporate Data Services at Applied Systems will lead a team of data scientists and engineers, develop data strategies aligned with business objectives, oversee data transformations to a modern datalake, and drive data-driven decision-making across the organization.
Senior Specialist, Data Science role at a global healthcare company involving designing and creating machine learning models, retraining systems, model governance, and performance evaluation. Requires 2+ years of data science/engineering experience with skills in Python, R, NLP, and computer vision.
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Seeking a highly motivated Senior Staff Machine Learning Engineer to join Taskrabbit's team and contribute to shaping the future of ML/AI. Responsibilities include designing, developing, and deploying advanced ML models, collaborating cross-functionally on ML projects, and working on modern search platforms using NLP and graph analysis.
Develop and maintain marketing databases, datasets, and pipelines for advanced segmentation, targeting, and analytics. Manage critical data pipelines and facilitate data integration and transformation. Improve data architecture, quality, monitoring, and availability. Work with stakeholders to understand data needs.
Senior Data Engineer role in the Finance team at Instacart, responsible for building and maintaining critical data integration pipelines for financial data modeling and reporting.
Design and develop data models in Snowflake with DBT, write advanced SQL queries for ELT and data warehousing, collaborate with business partners, promote self-service reporting, and ensure data governance and privacy standards.
The Sr. Data Engineer at Inspira Financial empowers business leaders to make decisions and drive outcomes by focusing on delivering data assets efficiently and securely in a cloud enterprise environment. Responsibilities include designing logical data models, managing the Enterprise data model, implementing data cloud services, developing data warehouse and Business Intelligence strategy, and supporting data governance initiatives using Python, SQL, AWS Kinesis, Azure Data Factory, and more.
Design, build, and enhance batch and real-time inference services and tooling that support machine learning use cases. Collaborate with ML modelers to encourage adoption of new tools and technologies and plan for future needs of the ML teams.
Lead a team of software engineers focused on improving developer experience by managing CI/CD processes, building pipelines, and ensuring software reliability and scalability. Mentor team members, drive adoption of best practices, analyze system resources, and manage test environments.
Top Companies in Atlanta, GA Hiring Data + Analytics Roles
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