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Stream Jobs in Connecticut (NOW HIRING)

CVS Health

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Streaming & Real-Time Processing * Build and maintain high-throughput streaming data solutions using Pub/Sub, Kafka, Dataflow, Spark Structured Streaming, Apache Beam, and Apache NiFi. * Support near ...

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 Corporation

Materials Planner Scheduler

Farmington, CT · On-site

  • Medical

  • Retirement

  • PTO

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 ...

IDEX Corporation

Materials Planner Scheduler

Farmington, CT

$132K/yr

  • Medical

  • Retirement

  • PTO

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 ...

IDEX

Materials Planner Scheduler

Farmington, CT · On-site

  • Medical

  • Retirement

  • PTO

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

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

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

  • Medical

  • Life

  • Retirement

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

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

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

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 · On-site

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

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 ...

NBCUniversal

Sr. Director, Sports Marketing

Stamford, CT · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and ...

subway

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

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

  • Medical

  • Life

  • Retirement

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

  • Medical

  • Life

  • Retirement

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

  • Medical

  • Life

  • Retirement

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 ...

NBCUniversal

Sr. Director, Sports Marketing

Stamford, CT

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and ...

subway

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

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

  • Medical

  • Life

  • PTO

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 ...

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Showing results 21-40

All JobsStream JobsStream Jobs in Connecticut

Stream information

See Connecticut salary details

$10.9K

$63.5K

$112.7K

How much do stream jobs pay per year?

As of Aug 18, 2026, the average yearly pay for stream in Connecticut is $63,510.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,900.00 and $83,200.00 per year, depending on experience, location, and employer.

What is a stream?

Stream jobs refer to positions that involve the management, analysis, or delivery of streaming data or content, such as video, audio, or real-time information. This can include roles in live video broadcasting, content moderation, data engineering, or software development for streaming platforms. People working in stream jobs may be responsible for ensuring smooth data flow, maintaining high-quality user experience, or developing tools to process and distribute content efficiently. These positions are common in industries like entertainment, gaming, social media, and big data analytics.

What are the key skills and qualifications needed to thrive as a stream engineer, and why are they important?

To thrive as a Stream Engineer, you need a solid background in computer science, real-time data processing, and experience with distributed systems, typically supported by a relevant degree. Proficiency with tools such as Apache Kafka, Apache Flink, or similar streaming platforms, along with knowledge of programming languages like Java or Scala, is essential. Strong problem-solving, communication, and collaboration skills set outstanding candidates apart in this fast-evolving field. These skills and qualities ensure efficient, reliable real-time data processing and the ability to adapt to rapidly changing technical requirements.

What are some common challenges faced by professionals working in streaming media roles, and how can they be overcome?

Professionals in streaming media roles often encounter challenges such as managing high-traffic live events, ensuring content delivery to diverse devices, and troubleshooting latency or buffering issues. Staying current with rapidly evolving streaming technologies and industry standards is also essential. Collaboration with cross-functional teams—such as developers, content creators, and network engineers—is key to resolving technical problems efficiently. Gaining hands-on experience with streaming platforms and participating in continuous learning can help you excel and adapt in this dynamic environment.

What is the difference between Stream vs Data Engineer?

AspectStreamData Engineer
Required CredentialsTypically a degree in computer science or related field, familiarity with streaming platformsDegree in computer science, data science, or related, with knowledge of data pipelines
Work EnvironmentReal-time data processing, often cloud-based or on-premisesDesigning, building, and maintaining data infrastructure and pipelines
Industry UsageUsed in industries requiring real-time analytics like finance, IoT, and mediaUsed across industries for data warehousing, analytics, and reporting

Stream specialists focus on real-time data processing and streaming platforms, while Data Engineers build and maintain the broader data infrastructure. Both roles require similar technical skills but differ in scope and focus, with Stream roles emphasizing real-time data flow and Data Engineers handling comprehensive data pipelines.

What are popular job titles related to Stream jobs in Connecticut?

For Stream jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Stream jobs in Connecticut look for?

The top searched job categories for Stream jobs in Connecticut are:

Stream jobs near you
Infographic showing various Stream job openings in Connecticut as of August 2026, with employment types broken down into 83% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $63,510 per year, or $30.5 per hour.

Data Engineer

CVS Health

Hartford, CT • On-site

$115K - $138K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 days ago

CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,338 frontline employees who took The Breakroom Quiz

89th of 112 rated pharmacies

Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health , you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.
Position Summary
We are seeking a highly skilled Data Engineer to support enterprise data platforms that enable analytics, AI-driven insights, member communications, and business intelligence capabilities. This role requires deep hands-on expertise in Google Cloud Platform (Google Cloud Platform), modern data engineering frameworks, cloud-native architectures, and enterprise data governance.
The ideal candidate will have experience delivering scalable data solutions in Google Cloud Platform, building large-scale batch and streaming pipelines, and supporting healthcare or financial services organizations. As a Data Engineer, you will collaborate with architects, product owners, data scientists, and business stakeholders to design, develop, and optimize secure, reliable, and high-performing data platforms in a regulated environment.
Key Responsibilities
Data Engineering & Pipeline Development
  • Design, develop, and maintain scalable batch and real-time data pipelines using Google Cloud Platform services including BigQuery, Dataflow, Pub/Sub, Cloud Composer, Cloud Functions, and Cloud Run.
  • Build reusable and maintainable ingestion, transformation, and orchestration frameworks using Python, SQL, Spark/PySpark, Apache Beam, .
  • Develop data integration solutions leveraging APIs, event-driven architectures, and cloud-native services.

Cloud Data Platform Development
  • Build and support enterprise-grade data lake, data warehouse, and streaming solutions across Google Cloud Platform and AWS cloud platforms.
  • Independently design, develop, and deploy cloud-native data products supporting analytics, reporting, AI/ML, and operational workloads.
  • Participate in enterprise cloud migration initiatives and modernization efforts, helping define migration strategies and implementation roadmaps.

Data Architecture & Modeling
  • Design and implement logical and physical data models using Star Schema and Snowflake Schema methodologies.
  • Develop scalable solutions supporting BigQuery, Snowflake, Redshift, Teradata, and other enterprise analytical platforms.
  • Optimize partitioning, clustering, indexing, and storage strategies to improve performance and cost efficiency.

Streaming & Real-Time Processing
  • Build and maintain high-throughput streaming data solutions using Pub/Sub, Kafka, Dataflow, Spark Structured Streaming, Apache Beam, and Apache NiFi.
  • Support near real-time data processing requirements across business and operational domains.

Data Governance & Compliance
  • Implement enterprise-grade governance solutions using tools such as Collibra, Privacera, Unity Catalog, and related governance frameworks.
  • Ensure compliance with HIPAA, GDPR, PCI-DSS, and corporate security standards through robust access controls, lineage tracking, auditing, encryption, and data protection practices.
  • Support metadata management, data quality monitoring, and data lineage initiatives across the enterprise.

Performance, Reliability & Operations
  • Monitor, troubleshoot, and optimize enterprise data pipelines and cloud infrastructure.
  • Implement observability using Cloud Monitoring, logging, alerting, and automated recovery solutions.
  • Create data flow documentation, technical design artifacts, production support procedures, and root cause analyses (RCA).

Collaboration & Delivery
  • Collaborate with business stakeholders, architects, product managers, and engineering teams to deliver scalable data solutions.
  • Participate in Agile and SAFe delivery frameworks across onshore and offshore teams.
  • Communicate complex technical concepts effectively to both technical and non-technical stakeholders.

Core Technical Skills
Cloud Platforms
  • Google Cloud Platform (Google Cloud Platform)
  • BigQuery
  • Dataflow
  • Pub/Sub
  • Cloud Composer
  • Cloud Functions
  • Cloud Run
  • Cloud Storage
  • Cloud Monitoring

Data Engineering & Processing
  • Python
  • SQL
  • PySpark
  • Apache Spark
  • Apache Beam
  • Apache Kafka
  • Apache NiFi
  • StreamSets
  • Hadoop Ecosystem

Data Warehousing & Analytics
  • BigQuery
  • Snowflake
  • Teradata
  • Star Schema Design
  • Snowflake Schema Design

Databases
  • PostgreSQL
  • SQL Server
  • Oracle (PL/SQL)
  • Hive
  • MongoDB Atlas

Workflow Orchestration
  • Apache Airflow
  • Cloud Composer

DevOps & CI/CD
  • Git
  • GitHub Actions
  • GitLab CI/CD
  • Terraform

Required Qualifications
  • 5+ years of professional experience in Data Engineering, Data Platforms, or Data Integration.
  • 3+ years of hands-on experience with Google Cloud Platform data services.
  • 3+ years designing, developing, and supporting large-scale batch and streaming data pipelines.
  • Strong expertise in Python, SQL, Spark/PySpark, Apache Beam, BigQuery, Dataflow, Pub/Sub, and Cloud Composer.
  • Experience with enterprise data warehouse platforms including BigQuery, Snowflake, Redshift, or Teradata.
  • Experience with data modeling, data architecture, and distributed systems.
  • Experience implementing CI/CD pipelines and Infrastructure as Code using Terraform, Git, and cloud-native deployment tools.
  • Experience working in Agile and SAFe delivery environments.
  • Strong analytical, troubleshooting, documentation, and problem-solving skills.

Preferred Qualifications
  • Healthcare or Insurance industry experience.
  • Experience with data governance platforms including Collibra, Privacera, or Unity Catalog.
  • Experience supporting AI/ML, analytics, and data science workloads.
  • Experience with MongoDB Atlas and NoSQL data platforms.
  • Experience building real-time streaming architectures using Kafka and Pub/Sub.
  • Experience creating Data Flow Diagrams, operational runbooks, and RCA documentation.
  • Experience with reporting and visualization tools including Power BI, Tableau, QlikView, or Looker.
  • Experience collaborating across global onshore/offshore engineering teams.

Education
Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field, or equivalent combination of education and relevant professional experience.
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$79,310.00 - $158,620.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 08/20/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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