Top Data Engineer Jobs in Miami, FL

As a Mid-Level Data Engineer, you'll architect, optimize data pipelines, maintain data quality, and collaborate with teams to enhance reporting and analytics.

The Junior Data Engineer will support data collection, cleaning, and reporting by maintaining data pipelines and ensuring data quality.

Design and optimize data warehouse models and ETL processes, ensuring data quality and governance while collaborating with stakeholders to empower business intelligence across the organization.

Lead the design and implementation of data pipelines and ML systems for Yahoo's Consumer Monetization Platform, ensuring efficient data processing at a petabyte scale.

As a Data Platform Engineer, you'll develop and maintain scalable data ecosystems, implement observability, collaborate across teams, and mentor fellow engineers while focusing on automation and data solutions.

Lead the design and implementation of ETL workflows and data solutions on Azure, managing a team and ensuring data governance and optimization.

The AI/LLM Data Engineer will design and maintain data pipelines for Generative AI projects, collaborating cross-functionally to optimize workflows and ensure data quality.

The Principal Data Engineer will lead the redesign of web data acquisition frameworks, optimize ETL processes, and enhance scalable solutions for data extraction.

As a Data Engineer III, you will design and maintain ETL platforms, architect data models, optimize performance for data processing, and leverage AWS services.

The CDP Data Engineer will support architecture and optimization of CDP solutions by designing data pipelines, managing data schemas, and ensuring data quality while collaborating with cross-functional teams.

Responsible for designing and building scalable data pipelines, optimizing performance, and ensuring data quality using modern big data tools.

As a Senior Data Engineer, you will manage data infrastructure, build ETL pipelines, and improve data models while collaborating with analysts.

The Senior Data Engineer will design and optimize data/ML pipelines and architectures, collaborate with teams, ensure data quality, and mentor juniors.

Administer platforms like Snowflake and DBT, participate in data engineering projects, and engage in team-focused service delivery.

Develops and operationalizes data pipelines, ensuring data quality and efficiency, while engaging with DevSecOps for CI/CD processes.

As a Data Engineer, you will optimize and scale Paxos' data platform, manage AWS resources, enforce data governance and security, and develop robust data pipelines using modern data tools.

The Software Engineer II at Spring Health will be responsible for developing API integrations, maintaining data sharing capabilities, troubleshooting data issues, and collaborating with cross-functional teams to ensure quality and scalable processes. The role requires enhancing system architecture and monitoring integration performance for continuous improvement.