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Data Streaming Jobs in California (NOW HIRING)

Own and maintain the product roadmap for Data Production (data pipelines, orchestration, streaming), ensuring alignment with business objectives and platform modernization initiatives. * Lead the ...

Own and maintain the product roadmap for Data Production (data pipelines, orchestration, streaming), ensuring alignment with business objectives and platform modernization initiatives. * Lead the ...

Senior Data Engineer

San Mateo, CA · On-site

$140K - $160K/yr

Design scalable data ingestion systems to integrate emerging streaming platforms and social media services into our analytics infrastructure * Architect and maintain our multi-cloud data ecosystem ...

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Data Streaming information

See California salary details

$45.4K

$162.9K

$240.3K

How much do data streaming jobs pay per year?

As of Jul 10, 2026, the average yearly pay for data streaming in California is $162,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,800.00 and $167,800.00 per year, depending on experience, location, and employer.

What are typical daily responsibilities for someone working in Data Streaming?

Professionals in Data Streaming typically design, develop, and maintain real-time data pipelines, ensuring continuous and reliable data flow across systems. They monitor the health of streaming platforms, troubleshoot latency or processing issues, and optimize performance for scalability. Collaboration with data engineering, analytics, and DevOps teams is common to ensure integration and alignment with business needs. Regular activities may also involve updating system configurations, deploying new features, and maintaining data security and compliance throughout the streaming infrastructure.

What are the key skills and qualifications needed to thrive in the Data Streaming position, and why are they important?

To excel in Data Streaming roles, candidates need a solid understanding of distributed computing, real-time data processing, and programming in languages such as Java, Scala, or Python. Experience with tools like Apache Kafka, Apache Flink, Spark Streaming, and relevant cloud platforms, along with certifications such as Confluent Certified Developer, are highly valuable. Strong analytical thinking, problem-solving skills, and the ability to communicate complex concepts clearly are important soft skills. Mastery of these skills enables professionals to efficiently handle large-scale streaming data workloads and ensure reliable, low-latency data pipelines in dynamic business environments.

What is a Data Streaming job?

A Data Streaming job involves managing real-time data pipelines to process, analyze, and deliver continuous data flows. Professionals in this role work with technologies like Apache Kafka, Apache Flink, or Spark Streaming to ensure seamless data movement and low-latency processing. They design scalable architectures that handle large volumes of events for use cases like real-time analytics, monitoring, and AI-driven decision-making.

What are the most commonly searched types of Data Streaming jobs in California? The most popular types of Data Streaming jobs in California are:
What job categories do people searching Data Streaming jobs in California look for? The top searched job categories for Data Streaming jobs in California are:
Infographic showing various Data Streaming job openings in California as of July 2026, with employment types broken down into 79% Full Time, 12% Part Time, and 9% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $162,857 per year, or $78.3 per hour.
Streaming/Entertainment Domain Data Engineer

Streaming/Entertainment Domain Data Engineer

1 point system

Los Angeles, CA • On-site

$123K - $148K/yr

Contractor

Re-posted yesterday


Job description

  • 7+ years of experience in data science, ideally in streaming, digital media, consumer apps, or subscription businesses.
  • Proven track record developing predictive models, experimentation frameworks, and advanced analytics for DTC or digital platforms.
  • Expert proficiency in Python and SQL.
  • Hands-on experience with experimentation platforms, uplift modeling, statistical testing, and causal inference.
  • Strong skills in feature engineering, handling large-scale behavioral data, and building ML pipelines.
  • Experience with cloud-based environments (AWS, GCP, Databricks) and MLOps practices
  • Strong understanding of the TV and streaming landscape across linear, digital, AVOD, FAST, SVOD, and emerging platforms
  • Strong communicator capable of presenting complex modeling outputs to non-technical audiences.
  • Ability to operate in ambiguity and help stakeholders articulate questions, opportunities, and hypotheses.
  • Passion for streaming, entertainment, consumer behavior, and data-driven storytelling.
  • Highly collaborative, curious, and eager to partner across functions