Streamsets Jobs in Florida (NOW HIRING)

As of May 31, 2026, the average hourly pay for streamsets in Florida is $50.00, according to ZipRecruiter salary data. Most workers in this role earn between $45.19 and $54.00 per hour, depending on experience, location, and employer.

A StreamSets job is a scheduled or manually triggered execution of a data pipeline within StreamSets Data Collector or Control Hub. It enables automated data movement between sources and destinations, ensuring data flow reliability and efficiency. Jobs can be monitored, scheduled, and managed centrally, allowing for real-time tracking and troubleshooting.

To excel in a StreamSets Engineer role, you need strong experience in data integration, ETL (Extract, Transform, Load) processes, and a solid understanding of data pipeline architecture. Proficiency with StreamSets Data Collector, DataOps platforms, and supporting technologies like SQL, cloud services (AWS, Azure, GCP), and scripting languages is highly valued; relevant certifications in data engineering are also beneficial. Excellent problem-solving skills, teamwork, and effective communication help you work seamlessly with data analysts, developers, and business stakeholders. These skills are crucial to ensure reliable, scalable data flows and successful integration projects across dynamic business environments.

StreamSets Engineers often encounter challenges like handling large volumes of diverse data, ensuring pipeline scalability, and optimizing for data quality and performance. Addressing these requires proactive monitoring, designing fault-tolerant architectures, and utilizing built-in validation and error-handling features in StreamSets platforms. Engineers typically collaborate with both data engineers and business teams to understand evolving requirements and resolve issues efficiently. Staying current with platform updates and industry best practices is also key to overcoming technical and operational hurdles. By anticipating and addressing these challenges, StreamSets Engineers help companies maintain reliable and agile data infrastructures.