Top Data Engineer Jobs in Atlanta, GA
As a Data Engineer, you will work on implementing data flows from client warehouses to Pathway's system, setting up CDC interfaces and designing ETL pipelines. You'll also contribute to benchmark framework design and build open-source testing frameworks for streaming data scenarios.
As an Ad Hoc Data Processing/Data Entry Specialist, responsible for accurately entering and processing data according to company's standards and procedures. Requires high attention to detail, efficiency, and handling confidential information.
The Data and AI Specialist will drive data accuracy and growth at Crunchbase, focusing on LLM optimization, model performance evaluation, tool development, and data quality management while collaborating with data scientists and engineers.
The role involves architecting, building, and maintaining reliable data pipelines, developing data applications in Python and SQL, ensuring data quality, and optimizing software engineering techniques while collaborating with IT and business teams.
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As an MLOps Specialist, you will design and implement data systems and architectures to enhance data science processes. Collaborate with data scientists to improve modeling pipelines, build infrastructure, and handle data transformation. This role involves deploying models in production environments, utilizing cloud services like AWS, and supporting a team-oriented culture.
As a Senior Data Engineer, you will collaborate with clients to design and maintain advanced data platforms, develop real-time data processing systems, and create documentation and training materials. Your role includes building ETL pipelines, data warehouses, and RESTful microservices primarily using cloud services while ensuring effective communication of complex concepts to technical and non-technical stakeholders.
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GOBankingRates is seeking a seasoned Principal Data Engineer to lead and broaden their Data Platform initiatives, translating business requirements into technology requirements, and defining data standards and principles. The role involves overseeing the development and maintenance of their Enterprise Data Platform, including a Serverless Data Lake and Cloud Data Warehouse.
The VP, Enterprise Data will drive adoption of Predactiv's DaaS solutions, focusing on enterprise sales across the Advertising & Marketing sectors. Responsibilities include collaborating with sales and product teams, delivering technical presentations, developing client relationships, and driving revenue through upsells and new opportunities.
As a Data Engineer at Testlio, you will develop data models, create and maintain data pipelines, automate data integration processes, and implement data mart systems. You will work closely with the Business Operations team to enhance the organization's data accessibility and reporting capabilities.
The Data Engineer will design and implement data pipelines and analytics infrastructure, develop Python and SQL components, maintain cloud infrastructure, and create data models. They will collaborate with customers to enhance data exploration and improve technical practices while coordinating project objectives.
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