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Streaming Jobs in Connecticut (NOW HIRING)

Roku

Live Operations Associate

Stamford, CT · On-site

$80K - $90K/yr

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television ...

Roku

Technical Operations Manager

Stamford, CT · On-site

$112K - $140K/yr

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television ...

blueStone

Big Data - Project Manager

Stamford, CT · On-site

$55.25 - $74.75/hr

Providing project management support to IT management for data foundation work stream * Managing and guiding a team to carry out detail project management activities effectively on a day to day ...

IDEX

Materials Planner Scheduler

Farmington, CT · On-site

Supports the High Purity, Pressed Parts, and Stamped Parts value streams and partners closely with Production, Purchasing, Customer Service, Quality, Engineering, and Finance. Position Summary The ...

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Implement Lambda or Kappa architectures using Databricks Structured Streaming / DLT or Snowflake Dynamic Tables / Snowpipe Streaming. * Build GenAI and ML enablement patterns (RAG, feature stores ...

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Implement Lambda or Kappa architectures using Databricks Structured Streaming / DLT or Snowflake Dynamic Tables / Snowpipe Streaming. * Build GenAI and ML enablement patterns (RAG, feature stores ...

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Implement Lambda or Kappa architectures using Databricks Structured Streaming / DLT or Snowflake Dynamic Tables / Snowpipe Streaming. * Build GenAI and ML enablement patterns (RAG, feature stores ...

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Implement Lambda or Kappa architectures using Databricks Structured Streaming / DLT or Snowflake Dynamic Tables / Snowpipe Streaming. * Build GenAI and ML enablement patterns (RAG, feature stores ...

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Implement Lambda or Kappa architectures using Databricks Structured Streaming / DLT or Snowflake Dynamic Tables / Snowpipe Streaming. * Build GenAI and ML enablement patterns (RAG, feature stores ...

Roku

Email & Lifecycle Marketing Manager

Stamford, CT · On-site

$126K - $144K/yr

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television ...

subway

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

Implement Lambda or Kappa architectures using Databricks Structured Streaming / DLT or Snowflake Dynamic Tables / Snowpipe Streaming. * Build GenAI and ML enablement patterns (RAG, feature stores ...

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Implement Lambda or Kappa architectures using Databricks Structured Streaming / DLT or Snowflake Dynamic Tables / Snowpipe Streaming. * Build GenAI and ML enablement patterns (RAG, feature stores ...

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Implement Lambda or Kappa architectures using Databricks Structured Streaming / DLT or Snowflake Dynamic Tables / Snowpipe Streaming. * Build GenAI and ML enablement patterns (RAG, feature stores ...

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Showing results 21-40

All JobsStreaming JobsStreaming Jobs in Connecticut

Streaming information

See Connecticut salary details

$15

$57

$82

How much do streaming jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for streaming in Connecticut is $57.58, according to ZipRecruiter salary data. Most workers in this role earn between $48.27 and $66.11 per hour, depending on experience, location, and employer.

Can you get paid for streaming?

Streaming jobs, such as content creators or live streamers, can generate income through platform monetization features like ad revenue, viewer donations, subscriptions, and sponsorships. Earnings depend on factors like audience size, engagement, and platform policies, and many streamers supplement income with brand deals or merchandise. Consistent content creation and building a following are key to earning money in streaming roles.

What is the difference between Streaming vs Video Editor?

AspectStreamingVideo Editor
Required CredentialsBasic technical skills, sometimes certifications in broadcasting or streaming platformsVideo editing software proficiency, often a degree in film or media production
Work EnvironmentLive or pre-recorded online platforms, often remote or in studiosEditing suites, post-production studios, or remote editing setups
Industry UsageGaming, live events, online content creationFilm, TV, advertising, online media
Common Search & ComparisonYesNo

Streaming involves broadcasting live or pre-recorded content online, focusing on real-time interaction and platform-specific skills. Video editors work on post-production editing of videos for various media, emphasizing software proficiency and creative editing skills. While both roles relate to video content, streaming is more about live delivery and audience engagement, whereas video editing centers on content refinement and storytelling after filming.

What skills and qualifications are needed to thrive as a streaming content creator?

To thrive as a Streaming Content Creator, you need strong on-camera presence, content creation skills, and a deep understanding of your target audience, often supported by experience or knowledge in media production or digital marketing. Familiarity with streaming platforms like Twitch or YouTube Live, video editing software, and broadcasting tools such as OBS Studio is typically required. Creativity, adaptability, and excellent communication skills help you engage with viewers and build a loyal community. These abilities are crucial for attracting and retaining audiences, maintaining high-quality streams, and achieving growth in a competitive digital landscape.

What is a streaming job?

Streaming jobs refer to roles that involve the distribution and delivery of digital media content, such as video or audio, over the internet in real time. These jobs can include positions like content creators, live stream producers, streaming engineers, and platform moderators. Streaming professionals work with platforms like Twitch, YouTube, or Netflix to ensure smooth content delivery, engage audiences, manage broadcasts, and troubleshoot technical issues. Their responsibilities may also include optimizing video quality, managing live chats, and ensuring compliance with platform guidelines.

What are common challenges faced by streaming professionals when collaborating with technical and creative teams?

Streaming professionals often work at the intersection of technical and creative teams, which can present unique challenges. Coordinating live broadcasts or content releases requires clear communication to ensure technical requirements and creative vision align. Differences in timelines, priorities, or understanding of technical constraints can lead to misunderstandings, so successful streamers need strong collaboration and project management skills. Regular meetings and using shared project tools can help bridge gaps and keep everyone on the same page.
What cities in Connecticut are hiring for Streaming jobs? Cities in Connecticut with the most Streaming job openings:
Streaming jobs near you
Infographic showing various Streaming job openings in Connecticut as of July 2026, with employment types broken down into 84% Full Time, 9% Part Time, 1% Temporary, and 6% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $119,775 per year, or $57.6 per hour.

Forward Deployed Data Engineer with Security Clearance

BOAB Ventures

Groton, CT • On-site

$113K - $136K/yr

Other

Re-posted 5 days ago

Job description

Job Description We're seeking a skilled Forward Deployed Data Engineer to help build next-generation data management and artificial intelligence platforms supporting maritime domain awareness missions. As a forward-deployed engineer, you'll work directly with customers-writing code, integrating systems, and solving complex technical challenges in operational environments. You'll serve as both an engineer and technical advisor, taking ownership of mission outcomes. This position requires a current or active U.S. Secret clearance. This role offers the opportunity to work on real-world projects involving sensor systems, edge data collection, and large-scale maritime data processing environments that directly support operational mission success. Responsibilities • Implement real-time data pipelines using MQTT and Redpanda for stream processing. • Implement offline data pipelines using Dagster for batch processing. • Parse and process binary message formats from various data sources. • Build data warehouses using PostgreSQL, Apache Iceberg, Parquet, and S3. • Design data models that support high-performance analytical queries. • Validate and normalize diverse data sources. • Improve local development environments and CI/CD workflows using modern tooling and GitHub Actions. Required Skills Required Skills • Expertise in time-series data processing and analysis (windowing, resampling, interpolation, etc.) • Proficiency in Python and Rust for data engineering workflows • Experience with binary message parsing • Experience with row-based and columnar data formats • Experience with OLTP and OLAP databases • Knowledge of distributed systems, streaming architectures, and batch processing patterns • Hands-on experience with workflow orchestration platforms such as Dagster or Airflow • Hands-on experience with streaming platforms such as Redpanda or Kafka • Experience working with binary message formats such as Protobuf Desired Skills Required Skills • Expertise in time-series data processing and analysis (windowing, resampling, interpolation, etc.) • Proficiency in Python and Rust for data engineering workflows • Experience with binary message parsing • Experience with row-based and columnar data formats • Experience with OLTP and OLAP databases • Knowledge of distributed systems, streaming architectures, and batch processing patterns • Hands-on experience with workflow orchestration platforms such as Dagster or Airflow • Hands-on experience with streaming platforms such as Redpanda or Kafka • Experience working with binary message formats such as Protobuf

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