Top Hybrid Data Engineer Jobs in Atlanta, GA
Seeking a dedicated data engineering + BI expert to supercharge insights delivery and develop data infrastructure for scalable solutions. Join a passionate team focused on leveraging world-class data for a great customer experience.
The Principal Data Architect is accountable for executing the vision and strategy for the organization's use of data. They lead cross-functional teams and execute data strategies from their vast experience.
Cox Communications is seeking a Sr. Data Analysis Engineer to join the Consumer Analytics team. Responsibilities include performing analysis, building models, developing database logic, and driving data-driven projects. Minimum qualifications include a Bachelor's degree and 4 years of experience in related fields, strong knowledge of programming languages and data visualization solutions, and the ability to work on multiple projects in a dynamic environment. Preferred qualifications include a related degree, experience on cloud platforms, and deep knowledge in core domains like analytics and finance.
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A Director role in PwC's Products & Technology Risk and Quality team, focusing on technology and data risks, regulatory compliance, critical thinking, and communication skills. Responsible for managing complex business issues from strategy to execution and ensuring compliance with risk management policies.
The Data Architect will lead our full-stack data architecture strategy and implementation, including data modeling, data governance, warehouse aggregation, and BI tooling.
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.
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As a Staff Machine Learning Engineer at FanDuel, you will help unlock the full potential of vast amounts of real-time and relational data. Collaborate with engineering teams, data scientists, and analysts to provide insights and personalized experiences for customers. Organize, model, and present data to stakeholders for intelligent decision-making in the sports-tech industry.
As a Machine Learning Engineer at FanDuel, you will work with vast amounts of real-time and relational data to provide business insights and personalized experiences for customers. Collaborate with engineering teams, data scientists, and analysts to turn data into actionable insights and products. Ideal for ML Engineers of all skill levels or experienced engineers looking to enter the big data environment.
Moving and transforming data optimally between different systems, designing database objects, configuring data and analytics tools.
Top hybrid Companies in Atlanta, GA Hiring Data + Analytics Roles
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