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Top Remote Data Engineer Jobs in Atlanta, GA
As an MLOps Engineer, you'll design and implement automated pipelines for deploying ML models, manage model life cycles, optimize cloud infrastructure, collaborate with various teams to ensure model performance, and develop reusable tools to simplify future deployments.
As a Senior Machine Learning & Computer Vision Engineer at Dandy, you will build advanced models for 3D scans, research state-of-the-art methods for generative deep learning, and collaborate with cross-functional teams to enhance product offerings. Your role involves working with large datasets, implementing MLOps best practices, and innovating new solutions in a growing team environment.
The Big Data DevOps Lead will enhance Big Data infrastructure efficiency, coordinate inter-team initiatives, and lead architecture efforts. Responsibilities include maintaining system reliability, deploying monitoring tools, and implementing disaster recovery practices. On-call support for production systems is also required.
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The Senior Data Engineer will design, develop, and manage data architectures and pipelines to optimize workflows and support analytics. Responsibilities include data systems architecture, data integration, cloud infrastructure management, data modeling, and performance tuning, while mentoring junior engineers.
As a Data Engineer at Headway, you will design and implement data pipelines to support business decisions, improve data infrastructure, and collaborate with cross-functional teams in providing valuable insights from data. You will engage with product, engineering, and data teams to create efficient data processing systems.
As a Senior Data Engineer at Bombora, you will develop and maintain scalable ETL pipelines, optimize data processing systems, and design databases. The role involves troubleshooting production issues, mentoring other engineers, and establishing best practices while leveraging technologies like Python, Airflow, and GCP.
As a Principal Data Engineer, you'll guide the direction of the Data Warehouse, architect, implement, and optimize ingestion pipelines, and collaborate across teams to ensure data-driven decision-making. You'll also mentor colleagues and ensure compliance with regulatory standards while managing high-volume data systems.
As a Senior Analytics Engineer at Spring Health, you will develop and maintain data models using dbt, ensure data consistency and quality, provide documentation for downstream teams, and collaborate with finance and analytics for business metrics. Your goal is to drive effective data access, model performance, and support high-quality insights.
The Senior Data Engineer will design, develop, and maintain data pipelines and infrastructure, focusing on AI/ML model requirements. Responsibilities include leading data transformation, managing data structures, implementing data quality controls, and collaborating with teams to ensure data readiness for AI initiatives.
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As a Senior Data Engineer, you will design and build a data platform for analyzing financial markets, collaborating with traders and researchers to manage data sources and ensure data quality. You will mentor junior team members and contribute to project management, overseeing data ingestion and maintaining system reliability.
Top remote Companies in Atlanta, GA Hiring Data + Analytics Roles
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