Data Engineer (Streaming & Analytics)

About this role

Data Engineer (Streaming & Analytics)

Remote w quarterly travel (must sit in Florida)

Monday – Friday / 8:00am - 5:00pm

Salary: $130,000+

No Sponsorship Available / No C2C

The Data Engineer is responsible for building and maintaining data pipelines, streaming systems, and transformation layers that power our new Microsoft-centered analytics ecosystem. This role is essential in modernizing our data platform that integrates Apache Kafka, Apache Spark, Python, MongoDB, SQL Server, Data Frames, Rapids, Microsoft Fabric, Power BI, Copilot, and Purview.

Responsibilities

• Design, build, and maintain scalable batch and streaming data pipelines that supports the Microsoft Fabric–based analytics ecosystem.
• Develop reliable data ingestion and transformation processes across layered architectures (e.g., Bronze/Silver/Gold) to enable operational analytics, BI, and advanced use cases.
• Engineer high-performance, fault-tolerant solutions for both real-time and batch data processing.
• Design and implement logical and physical data models that align with enterprise analytics, semantic layers, and Power BI consumption.
• Collaborate closely with BI analysts, data consumers, and platform teams to ensure data products are well-modeled, discoverable, and trusted.
• Work in a managed data environment that maintains lineage, metadata, and thorough documentation.
• Apply engineering best practices, including code reviews, monitoring, optimization, and cost-aware design.
• Contribute to emerging analytics capabilities, including AI-assisted and Copilot-enabled data experiences.
• Ensure smooth operations, productive communications, and effective understanding during all interpersonal contacts. Provide current and accurate information to all requesters, courteously and in a timely manner.
• Support Storm Restoration efforts when needed. Work in emergency storm situations (i.e. hurricanes) and work long hours (>12 hours per day) for many continuous days/weeks as needed.

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