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Remote Live Stream Operator Jobs in Florida (NOW HIRING)

Senior Data Engineer

Tampa, FL · Remote

$100K - $136K/yr

This is a remote position, with preference given to East Coast candidates. Key Responsibilities ... Streaming and ingestion tools, such as Kafka, Kinesis, Event Hubs, Debezium, or Fivetran preferred

Manage streaming pipelines with Kafka to process high-throughput event data from blockchains and ... Implement WebSocket-based services using Bun to push live updates (price feeds, wallet events ...

Sr. Software Engineer

Orlando, FL · Remote

$114K - $150K/yr

... Live workflows. Your focus will be on developing and optimizing our video ingestion , encoding ... Familiarity with streaming protocols and manifest formats such as DASH , CMAF , and HLS . * Strong ...

... Manage streaming pipelines with Kafka to process high-throughput event data from blockchains and ... push live updates (price feeds, wallet events, smart contract logs). · Store and optimize time ...

Lead and project-manage complex, multi-stream client engagements in its entirety, coordinating ... Comfort operating in a fast-paced, high-growth environment where priorities shift, and ownership is ...

J OB OVERVIEW: We're seeking a Lead Frontend Engineer to join our client's team in a remote ... Experience with WebSocket protocols for real-time data streaming * Knowledge of frontend ...

J OB OVERVIEW: We're seeking a Lead Frontend Engineer to join our client's team in a remote ... Experience with WebSocket protocols for real-time data streaming * Knowledge of frontend ...

Contact Center Agent II (Remote)

Edgewater, FL · On-site +1

$14 - $19/hr

... operators looking to manage and grow their ticketing business. Offering cutting edge e-commerce ... Annual voucher for live event tickets * Much more! Equal Opportunity Employer This employer is ...

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Remote Live Stream Operator information

What is a Remote Live Stream Operator?

A Remote Live Stream Operator is a professional responsible for managing and overseeing live video broadcasts from a remote location. They handle the technical aspects of streaming, such as switching camera feeds, adjusting audio levels, troubleshooting connectivity issues, and ensuring the broadcast runs smoothly. These operators often work with event organizers, content creators, or companies to deliver high-quality live streams for webinars, conferences, concerts, or other live events. Proficiency with streaming software, audiovisual equipment, and real-time problem-solving are important skills for this role.

What is the difference between Remote Live Stream Operator vs Remote Video Editor?

AspectRemote Live Stream OperatorRemote Video Editor
CredentialsBasic technical skills, sometimes certifications in streaming platformsVideo editing software proficiency, certifications like Adobe Premiere or Final Cut Pro
Work EnvironmentReal-time streaming setup, live control room or remote setupPost-production editing environment, often remote workstation
Industry UsageBroadcasting, live events, online content streamingFilm, TV, marketing videos, social media content
Search & Comparison IntentFocus on live streaming skills and real-time operationFocus on editing, post-production, and content refinement

The Remote Live Stream Operator manages live broadcasts in real-time, ensuring smooth streaming and technical stability. In contrast, a Remote Video Editor works on post-production editing to enhance video content. While both roles require technical skills, the Live Stream Operator focuses on real-time control, whereas the Video Editor emphasizes editing and post-production tasks.

What are the most common challenges faced by Remote Live Stream Operators, and how can they be effectively managed?

Remote Live Stream Operators often encounter challenges such as unstable internet connections, technical glitches with streaming software or hardware, and coordinating with remote teams in different time zones. Proactively testing all equipment before an event, having backup internet solutions, and maintaining clear communication channels with team members can help minimize disruptions. Developing strong troubleshooting skills and staying updated on streaming technology best practices are essential for delivering smooth, professional broadcasts.

What are the key skills and qualifications needed to thrive as a Remote Live Stream Operator, and why are they important?

To thrive as a Remote Live Stream Operator, you need a solid understanding of audio-visual technology, live streaming platforms, and event production processes, often supported by experience or relevant technical training. Familiarity with streaming software (like OBS or vMix), video encoders, and troubleshooting connectivity issues is typically required. Strong communication, multitasking, and quick problem-solving skills help operators manage live events smoothly and adapt to unexpected challenges. These skills ensure seamless, professional broadcasts that meet client expectations and resolve issues in real time.
What are the most commonly searched types of Live Stream Operator jobs in Florida? The most popular types of Live Stream Operator jobs in Florida are:
What job categories do people searching Remote Live Stream Operator jobs in Florida look for? The top searched job categories for Remote Live Stream Operator jobs in Florida are:
What cities in Florida are hiring for Remote Live Stream Operator jobs? Cities in Florida with the most Remote Live Stream Operator job openings:
Infographic showing various Remote Live Stream Operator job openings in Florida as of June 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Senior Data Engineer

Bridgeway Benefit Technologies

Tampa, FL • Remote

$100K - $136K/yr

Full-time

Posted 29 days ago


Job description

Bridgeway is seeking a Senior Data Engineer to design, develop, and maintain our data warehouse infrastructure. This role involves working closely with analysts, engineers, and other stakeholders to shape our data architecture, ensuring secure and efficient data pipelines, and enabling advanced analytics across the organization. The ideal candidate will have a strong background in data engineering, data warehousing, and ELT processes, along with a passion for optimizing data systems.

This is a remote position, with preference given to East Coast candidates.

Key Responsibilities:

  • Design, develop, and maintain a scalable lakehouse architecture, including a medallion (bronze/silver/gold) data model optimized for analytics and AI/ML consumption.
  • Design, implement, and operate ELT pipelines, including workflow orchestration, scheduling, and monitoring, to ensure reliable and scalable execution.
  • Establish data quality, testing, and observability practices, and proactively monitor and resolve data and automation issues to ensure platform reliability and trust.
  • Ensure data security and compliance, including role-based access controls for security, encryption, masking, and governance best practices to ensure compliant handling of sensitive information.
  • Optimize performance of data workflows and storage for cost efficiency and speed.
  • Partner with engineers, analysts, and stakeholders to meet data needs; balance cost, performance, simplicity, and time-to-value while mentoring teams and documenting standards.
  • Provide technical leadership and mentorship to team members – guiding best practices, skill development, and collaboration cross-functionally.
  • Enable AI/ML use cases through well-structured data models, feature availability, and platform integrations using tools such as Databricks Vector Search and Model Serving.
  • Develop and maintain data pipelines using version control and CI/CD best practices in a collaborative engineering environment.
  • Collaborate within an Agile-Scrum framework and develop comprehensive technical design documentation to ensure efficient and successful delivery.
  • Serve as a trusted expert on organizational data domains, processes, and best practices.

Requirements:

  • 5+ years of hands-on data engineering experience required
  • 3+ years of experience building and operating data pipelines on a modern lakehouse platform (e.g., Databricks – Unity Catalog, Delta Live Tables, Asset Bundles), including data modeling, governance, and CI/CD deployment patterns
  • 3+ years of experience with analytical SQL (ANSI SQL/T-SQL/Spark SQL) and Python for data engineering, including pipeline construction, transformation logic, and automation required
  • Strong communication skills with the ability to collaborate and influence across engineering, analytics, and business stakeholders required
  • Streaming and ingestion tools, such as Kafka, Kinesis, Event Hubs, Debezium, or Fivetran preferred
  • DAX, LookML, dbt; Airflow/Dagster/Prefect, Terraform; Azure DevOps; Power BI/Looker/Tableau; GitHub CoPilot knowledge is a plus
  • Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree preferred