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Streaming Jobs in Connecticut (NOW HIRING)

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

Live Operations Associate

Stamford, CT · On-site +1

$80K - $90K/yr

Provide operational support across multiple concurrent live streams, maintaining clear communication and fast issue triage * Orchestrate tasks among production, service partners, and on-shift support ...

The Subway

Sr Data Engineer

Shelton, CT · On-site

$114K - $137K/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 ...

Integrated Polymer Solutions

Parts Handler

Bloomfield, CT · On-site

$16.75 - $20.25/hr

Ensures that product is delivered throughout the Value Stream in order to meet manufacturing and customer requirements. Works under the direction of the Value Stream Manager. Responsibilities:

Kamatics

Parts Handler

Bloomfield, CT · On-site

$16.50 - $21.50/hr

Ensures that product is delivered throughout the Value Stream in order to meet manufacturing and customer requirements. Works under the direction of the Value Stream Manager. Responsibilities:

Roku

Systems Operations Associate

Stamford, CT · On-site

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 ...

TecTammina

Text Analytics

Hartford, CT

Good Knowledge of real time data streaming and offline data streaming. The ability to conduct cost/benefit analysis Business case development Determines if Data Acquisition is needed Analyzes source ...

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All JobsStreaming JobsStreaming Jobs in Connecticut

Streaming information

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$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.

Sr Data Engineer

subway

Shelton, CT • On-site

$106K - $144K/yr

Full-time

Medical, Life, Retirement

Re-posted 12 days ago

Subway rating

4.4

Company rating: 4.4 out of 10

Based on 2,048 frontline employees who took The Breakroom Quiz

98th of 106 rated fast food restaurants

Job description

 

Sr Data Engineer - Shelton, CT

Ready to build what’s next with one of the world’s most iconic brands? 

Why Join Subway? 

At Subway, we are not standing still. We are building. 

This is a business focused on what matters most: growing franchisee profitability, strengthening our brand and creating long-term value. The people who thrive here are the ones who want to make a real impact. 

You will not just do the work. You will shape it. 

We move fast. We think like owners. We make decisions that matter. We hold ourselves to a high standard because what we do directly impacts thousands of franchisees around the world. 

If you bring energy, accountability and a bias for action, you will fit right in. 

We take the work seriously, but we also know the best results come from teams that support each other, celebrate wins and show up ready to build something better every day. 

This is your chance to be part of what’s next. 

About the Role: 

The Sr Data Engineer is a senior-level, hands-on technical leader responsible for designing, building, and evolving Subway’s enterprise data platform on Snowflake or Databricks. This role serves as a technical authority and builder, driving Lakehouse architecture, engineering frameworks, and best practices across multiple data domains. The Sr Data Engineer operates with a high degree of autonomy, leading through working code and influence — shipping reference implementations, POCs, and platform-level solutions that other teams build upon. 

Responsibilities include but not limited to: 

  • Personally design and build reference implementations and production-grade frameworks on Databricks or Snowflake.
  • Design lakehouse platforms using Delta Lake or Iceberg Tables with Medallion (Bronze/Silver/Gold) architecture.
  • Define and evolve enterprise data standards, patterns, and reusable accelerators.
  • Ensure solutions align with data governance, security, scalability, and cost-efficiency standards.
  • Evaluate technologies through hands-on benchmarking — not vendor decks.
  • Build the first working version of complex pipelines, frameworks, and POCs (ingestion, CDC, streaming, DQ, observability, CI/CD).
  • Drive emerging tech (Iceberg, Lakeflow, Openflow, Cortex, Mosaic AI) from POC to production rollout.
  • Solve high-complexity performance, cost, and governance challenges at petabyte scale.
  • Identify and address systemic technical debt and architectural risks.
  • 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, semantic layers) using Databricks Mosaic AI or Snowflake Cortex.
  • Partner with Data Science and Analytics teams to operationalize models and AI workflows.
  • Collaborate closely with Product, Architecture, Security, Infrastructure, and Analytics leaders.
  • Translate business needs into sound technical direction backed by working prototypes.
  • Communicate technical trade-offs, risks, and decisions clearly to technical and non-technical stakeholders.
  • Influence roadmaps and platform investments through technical insight and de-risking POCs.
  • Mentor Senior and Staff Data Engineers through pair-programming, PR reviews, and design coaching.
  • Raise engineering maturity by shipping working examples and codifying patterns.
  • Foster a culture of technical excellence, learning, and continuous improvement. 

Qualifications (some examples listed below): 

  • Exceptional hands-on expertise in Databricks or Snowflake lakehouse platforms.
  • Deep proficiency in PySpark or advanced SQL, plus Python for data engineering and automation.
  • Proven experience building Medallion architecture with Delta Lake or Iceberg Tables. 
  • Real-time and batch streaming experience (Lambda or Kappa) using Databricks DLT or Snowflake Dynamic Tables / Snowpipe Streaming. 
  • Hands-on with orchestration tools — Airflow, Databricks Lakeflow, or Snowflake Openflow; dbt experience a plus.
  • Strong data modeling skills (Dimensional, Data Vault, schema design).
  • Performance and cost tuning expertise (clustering, partitioning, Z-ordering, warehouse/cluster sizing, FinOps). 
  • Governance experience with Unity Catalog (Databricks) or Horizon Catalog (Snowflake) for lineage, access control, and data quality.
  • Semantic layer experience using Databricks AI/BI Genie / Unity Catalog Metrics or Snowflake Semantic Views / Cortex Analyst.
  • AI/ML enablement experience with Databricks Mosaic AI or Snowflake Cortex.
  • CI/CD and DevOps fluency — Git, Databricks Asset Bundles or Snowflake CLI / Schemachange, automated testing.
  • Cloud ecosystem expertise — AWS (S3, Glue, Kinesis), Azure, or GCP.
  • Excellent communication and technical storytelling ability.
  • Comfortable operating across ambiguity and complex stakeholder environments. 
  • Education: Bachelor’s degree required (Computer Science, Engineering, or related field); advanced degree preferred.
  • Experience: 3-5 years of professional data engineering experience, with proven track record leading architecture and hands-on build for enterprise-scale data platforms, operating in complex or mission-critical data environments, and influencing multiple teams and platforms without direct authority.
  • Travel Requirements: Minimal to moderate (up to 10%, as business needs require). 

What do we offer? 

  • Insurance Plans (Medical, Life)
  • Pension/401K/RSP (country specific)
  • Competitive Bonus
  • Mobility Allowance
  • Tuition Reimbursement
  • Company Holidays
  • Volunteering time
  • And More….. 

 

Compensation: The base pay range for this role is $102,700 - $128,400 annually

Pay within this range will be determined in good faith based on job-related factors, which may include skills, experience, education/training, location, and internal equity.

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