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Stream Jobs in California (NOW HIRING)

Revvity

Value Stream Planner III

San Diego, CA · On-site

Job Title Value Stream Planner III Location(s) San Diego - BioLegend About Us Revvity is a developer and provider of end-to-end solutions designed to help scientists, researchers, and clinicians ...

Revvity

Value Stream Planner III

San Diego, CA

Job Title Value Stream Planner III Location(s) San Diego - BioLegend About Us Revvity is a developer and provider of end-to-end solutions designed to help scientists, researchers, and clinicians ...

Chrono Toys Inc

Streaming Host

Rowland Heights, CA · On-site

$20 - $25/hr

Prepare and organize inventory for each stream, ensuring all products are well-presented. * Promote upcoming streams on social media and other platforms to build an audience. * Analyze viewer ...

Chrono Toys Inc

Streaming Host

City Of Industry, CA

$20 - $25/hr

Prepare and organize inventory for each stream, ensuring all products are well-presented. * Promote upcoming streams on social media and other platforms to build an audience. * Analyze viewer ...

Revvity

Value Stream Planner III

San Diego, CA

The Value Stream Planner III to work in a high volume, fast paced and growing Biotech Company. This individual will coordinate and expedite production according to demand and quality standards. This ...

Chrono Toys Inc

Streaming Host

Rowland Heights, CA · On-site

$20 - $25/hr

Prepare and organize inventory for each stream, ensuring all products are well-presented. * Promote upcoming streams on social media and other platforms to build an audience. * Analyze viewer ...

TheNotoriouskicks

Live Streamer

Sherman Oaks, CA · On-site

$25 - $35/hr

Review stream performance and continuously refine presentation style to improve results. ⸻ Qualifications * Strong knowledge of sneaker and streetwear culture (Jordan, Supreme,Streetwear Brands ...

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Showing results 41-60

All JobsStream JobsStream Jobs in California

Stream information

See California salary details

$11.3K

$65.9K

$116.9K

How much do stream jobs pay per year?

As of Aug 6, 2026, the average yearly pay for stream in California is $65,888.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,400.00 and $86,400.00 per year, depending on experience, location, and employer.

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 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 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 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 are popular job titles related to Stream jobs in California? For Stream jobs in California, the most frequently searched job titles are:
What job categories do people searching Stream jobs in California look for? The top searched job categories for Stream jobs in California are:
What cities in California are hiring for Stream jobs? Cities in California with the most Stream job openings:
Stream jobs near you
Infographic showing various Stream job openings in California as of August 2026, with employment types broken down into 89% Full Time, 10% Part Time, and 1% Contract. Highlights an 82% Physical, and 18% Remote job distribution, with an average salary of $65,888 per year, or $31.7 per hour.

Staff Software Engineer, Stream Compute

Stripe

San Francisco, CA • On-site

Full-time

Re-posted 7 days ago

Job description

Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the team
The Stream Compute team at Stripe builds and operates the infrastructure, tooling, and systems behind our Flink-powered stream processing systems. We're at the heart of several core asynchronous workflows, operating at significant scale and handling vast amounts of sensitive financial data. Our work powers intricate processes involving various critical financial operations and real-time analytics. We run globally distributed systems with high reliability and performance to meet Stripe's scaling, availability, and product needs, and we continually reduce operational toil by investing in automation and self-service tooling for upgrades, maintenance, and day-to-day operations. The team is distributed between Seattle, Toronto, and remote locations.
What makes our team truly exciting is our commitment to our users: we ensure no event is dropped, state integrity is preserved, and exactly-once processing is supported as a first-class feature. Working at the intersection of real-time data processing and fintech innovation, we continuously push the boundaries of what's possible. Our focus on innovation, user experience, reliability, and compliance drives increased ROI and operational excellence, making us a crucial part of Stripe's success.
What you'll do
You'll help define and deliver the next generation of Stripe's Flink-first stream compute infrastructure-driving innovation to meet extremely high availability targets at global scale. Partnering with infrastructure engineers, adjacent platform teams, and the product orgs that depend on Flink every day, you'll set a long-term technical direction that scales with Stripe's growth while enabling reliable, efficient operations for years to come. You'll work on the hardest problems in operating Flink in production-state management, exactly-once processing, performance isolation, and automated recovery-so teams across Stripe can confidently build stateful stream processing applications on top of it.
Responsibilities
  • Design, build, and operate stream compute infrastructure with Apache Flink at the center, alongside technologies like Kafka, Temporal, and AWS services
  • Partner with product and platform teams across Stripe to understand requirements, unblock Flink adoption, and improve how stream processing infrastructure is used end-to-end
  • Define and implement operational best practices (e.g., shuffle sharding, cellular architecture, load shedding, automated state recovery) to improve resilience and reliability at scale
  • Drive fleet-level automation and standardization ("pets" to "cattle") through self-service workflows, safer rollouts, and self-healing systems that reduce manual operations
  • Lead initiatives that raise the bar on Flink availability and state durability (e.g., multi-region strategies, disaster recovery readiness, operational readiness reviews, incident learning)
  • Evaluate and productionize Flink ecosystem capabilities (e.g., SQL, connectors, state backends) to improve developer experience and scalability without compromising reliability
  • Work closely with the open-source community to identify opportunities for adopting new open-source features and contributing back to OSS
Who you are
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
  • This is a Staff-level role-that typically means 10+ years of experience building, operating, and evolving large-scale production systems.
  • Experience as a technical lead for team(s) working on distributed systems, including scaling them in fast-moving environments
  • Hands-on experience with big data technologies such as Flink, Spark, Kafka, Pulsar, or Pinot
  • Experience developing, maintaining, and debugging distributed systems built with open-source tools
  • Experience building and scaling infrastructure as a product • Strong software engineering skills and a passion for big data distributed systems
  • Ability to write high-quality code (in programming languages like Go, Java, Scala, etc.)
  • Comfortable operating with high autonomy and ownership
  • Growth mindset and a willingness to learn quickly, explore ambiguous problem spaces, and dive deep when needed
  • Strong written and verbal communication skills, including the ability to produce clear technical documentation
Preferred qualifications
  • Experience operating streaming infrastructure as a platform (e.g., Flink clusters, Kafka, Pulsar) for internal customers at scale
  • Deep hands-on experience authoring, optimizing, and operating real-time processing frameworks such as Flink, Spark Streaming, Storm, or Kafka Streams in production
  • Experience building or operating control planes for managing large-scale infrastructure
  • Open-source contributions to data processing or big data systems (Hadoop, Spark, Celeborn, Flink, etc.)

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