Top Remote Senior Level Data Engineer Jobs in Miami, FL

As a Senior Analytics Engineer at Tint, you will be responsible for designing and implementing data pipelines, optimizing data models, and collaborating with cross-functional teams to deliver insights efficiently. This role involves leading data initiatives, mentoring junior team members, and influencing data strategy and architecture to inform key business decisions.

Design and implement enterprise-wide data strategies, manage data engineering assets, collaborate with cross-functional teams, ensure data integrity and security, develop data models, and lead data governance initiatives.

Seeking an experienced Senior Analytics Engineer to build and activate company-wide data assets using Snowflake. Responsibilities include data modeling, metrics development, and enabling self-service analytics solutions. Must have 5+ years of relevant industry experience and expertise in SQL, Python, and data engineering tools.

The Freelance Director Level Strategic Consultant will support strategic consulting projects in the healthcare sector, developing and implementing initiatives that drive business growth for clients. This role involves working closely with the team and contributing expertise to overcome complex challenges.

The Senior Data Engineer will design and maintain data processing pipelines, focusing on Scala and Spark, while collaborating with healthcare projects to improve the quality of care data. Responsibilities include writing tests, conducting code reviews, and working alongside DevOps for CI/CD processes.

The Sr. Data Integration Consultant will provide high-quality pre/post-sales consulting, focusing on data integration and discovery projects. Responsibilities include project planning, troubleshooting, implementation, maintaining skills related to Actian products, mentoring, and creating documentation. Candidates must be proficient with various integration tools and database management systems.

The Senior Data Systems Engineer will work with clients to develop innovative technology plans, focusing on data modeling, system architectures, and reporting requirements. Responsibilities include ETL development, report creation, and designing analytics platforms, while applying machine learning and statistical analysis expertise to address operational challenges.