Top Data Engineer Jobs in Miami, FL

As a Data Engineer, you'll build data pipelines, transform telemetry into performance metrics, and derive QoE insights, collaborating with a small team.

The Data Engineer I supports data conversions, hygiene, and custom services by manipulating, editing, and transforming datasets. Responsibilities include monitoring data jobs, validating data, and documenting workflows.

The Senior Data Engineer will build and maintain analytics infrastructure, develop ETL processes, integrate data sources, mentor team members, and optimize data architecture.

Starburst seeks a Senior Software Engineer to improve its data ingestion and transformation platform, focusing on building scalable systems using Java, and distributed technologies like Trino and Apache Iceberg. You'll collaborate with teams to design features and maintain high standards for software development.

As a Senior Data Platform Engineer, you will oversee the administration of Databricks and AWS, manage data engineering dev ecosystems, collaborate with teams on data needs, and mentor junior staff.

Design and maintain data pipelines, manage Hightouch syncs, optimize SQL queries, troubleshoot issues, and collaborate with stakeholders. Requires 5+ years in data engineering.

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

The Data Engineer will support US National Defense by developing ETL workflows, creating reports, and collaborating with stakeholders to provide data insights.

The Data Engineer will design and automate data pipelines, ensure data reliability, maintain reference datasets, and implement ML workflows within healthcare operations.

Design and optimize data pipelines, work with structured/unstructured data, ensure data quality for analytics, and collaborate with data scientists.

As a Data Engineer Consultant, you will design and implement scalable data solutions, advise clients on optimizing data environments, and support long-term data infrastructure.

As a Data Engineer, you'll design, build, and optimize data models and pipelines, ensuring data quality and creating dashboards.

As a Data Engineer, you will build data pipelines and maintain datasets for analytics, data science, and marketing. Collaborate on scalable solutions and ensure data quality.

Develop and maintain data pipelines and analytics environments in Azure, support ETL operations, and collaborate for data solutions. Optimize data management and ensure quality.

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.

As a Data Engineer, you will design, build, and maintain data pipelines and workflows, transforming raw data into reliable streams for healthcare providers.

The Data Engineer will design and maintain data pipelines, develop data models, ensure data quality, and collaborate with various stakeholders for data solutions.

As a Data Engineer, you'll manage data access, support development and analytics teams, implement automated processes, engineer data pipelines, and ensure data accuracy.

As a Data Engineer at Swan, you will design and build a data infrastructure, manage data quality, and collaborate with teams to ensure data governance and integrity.

The IT Data Engineer will design and implement ETL pipelines, modernize data workflows, support analytics, and collaborate with teams on data needs.

The Senior Data Engineer will build scalable data pipelines to process data, support platform efficiency, and enable smart analytics at Netflix.

As a Python engineer on the data platform team, you'll enhance tools for data pipelining and analytics, collaborate with teams to address challenges, and improve software engineering culture at Doximity.

As a Data Engineer, you'll design, develop, and maintain data pipelines and collaborate with stakeholders to ensure data infrastructure meets their needs, while championing best practices in software engineering.

Lead the implementation of AML detection pipelines using Palantir Foundry. Train team members in technical skills and oversee data architecture and maintenance.

The Data Engineer designs and maintains data pipelines, optimizes data flow, collaborates with data scientists, and enhances observability. Requires strong Python and SQL skills and experience with data lake architectures.