Top Remote Data Engineer Jobs in Miami, FL

As a Senior Data Engineer at Dandy, you will design and maintain data infrastructure, own end-to-end data pipelines, and collaborate with stakeholders to ensure reliable data solutions. You'll mentor junior engineers and continuously improve systems to enhance data-driven decision-making across the organization.

As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.

As a Database Administrator, you will manage, secure, and optimize Azure SQL databases, collaborate with development teams, support production environments, troubleshoot customer issues, and enhance database security and performance.

The Principal Cloud Database Engineer designs, implements, and manages cloud-based database solutions, ensuring high performance, data integrity, and security. Responsibilities include database administration, performance tuning, automation, and collaboration with development and infrastructure teams. This role also involves capacity planning, monitoring, and compliance with data protection regulations while leading technical initiatives and supporting operational excellence.

The Staff Research Lead will oversee research projects in drug discovery, focusing on real-world data studies and patient-centric insights. Responsibilities include translating research questions into study designs, managing projects using agile tools, collaborating with cross-functional teams, and working with diverse data types using R and Python in cloud environments.

As a Senior Data Engineer, you will design, develop, and maintain data platforms to support organizational data needs, build scalable data ingestion pipelines, lead data governance efforts, and collaborate with Data Scientists and Product Managers to implement data models and ETL processes, predominantly using AWS technologies.

The Associate Principal Data Engineer is responsible for implementing data models, optimizing data pipelines using Snowflake on Azure, developing data products like SQL data pipelines and dashboards, automating workflows with scripting languages, and collaborating with business teams to meet their data needs.

The Senior Big Data Engineer will lead data migration technical planning, design and implement efficient data pipelines, ensure data quality, and provide technical support. The role involves working with cross-functional teams to deliver data solutions and staying current with industry best practices.

The Senior Azure Synapse Data Engineer will develop and configure Azure Synapse Pipelines, collaborate with stakeholders to define requirements, connect systems to the Data Platform, and conduct testing to ensure pipeline performance.