Top Data Engineer Jobs in Miami, FL

As a Data Engineer, you'll manage data warehousing and pipelines for blockchain analytics, ensuring data accuracy and supporting business functions. You'll collaborate with teams to improve operations and leverage AI for efficiency.

As a Data Engineer, you will enhance the developer experience by maintaining ETL pipelines, integrating data sources, automating processes, and ensuring code quality.

As a Staff AI Data Engineer, you will build and maintain data pipelines for ML/AI tools, ensuring high-quality datasets and collaborating with data scientists to enhance mental health care.

As an AI/LLM Data Engineer, you'll drive innovation in AI model applications, focusing on prompt engineering, system design, and data analysis, while collaborating with cross-functional teams.

The Data Engineer will develop and optimize ETL pipelines and systems in Google Cloud Platform, collaborating with engineers and scientists to support B2B data solutions.

The Principal Data Engineer will lead finance technology modernization efforts by designing solutions, managing data pipelines, and collaborating with teams to enhance performance and scalability.

The Senior Data Engineer will create scalable data pipelines and manage unstructured data for AI/ML workflows, ensuring data quality and supporting data solutions. Collaboration with cross-functional teams to meet business and security objectives is key.

Build and refine data assets and products, integrate and model data from multiple sources, and develop data pipelines with automated quality checks.

As a Senior Data Platform Engineer, you will develop tools for data quality checks, enhance data lineage framework, and improve data infrastructure performance.

As a Senior Associate, you will develop and implement IBM MDM solutions, mentor junior team members, and manage data quality frameworks while providing insights from data analysis.

The Senior Research Engineer will curate large datasets, automate data pipelines, optimize queries, and support data-driven research impacting business outcomes.

The Python-ETL Data Developer will assist in onboarding client data into MySQL, support Snowflake offerings, and improve documentation. Key skills include Python and database experience.

The Principal ML Data Engineer will analyze data, build models, and deploy algorithms while collaborating with engineering teams and managing ML infrastructure.

The Finance Data Engineer is responsible for creating and maintaining data pipelines, optimizing data sources for financial reporting, and supporting analytics needs using SQL and Python.

The Data Engineer will enhance data pipelines, support data analysts, and optimize data architecture for cross-functional teams. This role involves data extraction, transformation, and analytics to meet reporting needs.

Contribute to and enhance the data platform, focusing on solutions for data storage, processing pipelines, and cloud infrastructure.

Design and implement scalable data orchestration and processes, optimize data operations, and support building various platform areas.

Lead technical discussions and design products based on vehicle telematics data. Collaborate with teams, ship features, and ensure customer satisfaction using real-time data insights.

As a Data Warehouse Engineer, you'll build reusable internal data products, design scalable pipelines, and collaborate with stakeholders for actionable insights.

You will collaborate on integrations, participate in code reviews, and troubleshoot complex problems while working within a team.

The Data Engineer will design and maintain ETL pipelines and data storage solutions, collaborating with cross-functional teams to ensure efficient data processing and delivery.

The Senior Software Engineer in Data and Automation will design and develop software solutions, write code, maintain software, and document processes. Requires 3+ years of relevant experience and a Bachelor's degree.

The Senior Software Engineer will design, develop, and maintain software solutions while ensuring customer satisfaction and managing risks associated with business objectives.

Design and build data integration frameworks and pipelines while ensuring data accuracy and resolving management issues, collaborating with DevOps and data scientists.

As a Software Engineer II, you'll work on data ingestion at petabyte-scale, collaborating with teams to develop distributed systems, optimize performance, and ensure high quality through testing and improvement practices.