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Data Streaming Jobs in California (NOW HIRING)

World Wide Technology Holding, LLC

$65 - $83.75/hr

Qualifications As a Data Streaming Architect, you will also be responsible for coaching and mentoring peers within WWT as the data practice grows and expands. Successful applicants must have the ...

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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 Aug 27, 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 is a data streaming?

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 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 are the most commonly searched types of Data Streaming jobs in California?

The most popular types of Data Streaming jobs in California are:

What are popular job titles related to Data Streaming jobs in California?

For Data Streaming jobs in California, the most frequently searched job titles 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:

Data Streaming jobs near you
Infographic showing various Data Streaming job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $162,857 per year, or $78.3 per hour.

Data Streaming Engineer (TS/SCI) with Security Clearance

San Diego, CA • On-site

Zachary Piper Solutions, LLC
IT Services • 51 - 200 employees
Learn more about Zachary Piper Solutions, LLCexternal

$170K - $230K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago

Job description

Zachary Piper Solutions is seeking a TS/SCI cleared Data Streaming Engineer to support the United States Air Force's Joint Fires Network program in San Diego, California. This full‑time, on‑site role focuses on managing real‑time data ingest operations, monitoring data quality, and supporting the delivery of mission‑critical data feeds. The ideal candidate will have strong experience in data engineering, scripting, data visualization, and operational support within technical environments. Period of Performance (Contract Length): • 5 years. • Program has been awarded and is live. • Currently in month 7 out of 5 years. Location and Work Environment: • Full‑time on‑site role in San Diego, California, supporting operational data pipelines and mission systems. Travel up to 15% to Oahu, Hawaii may be required, including long‑distance trips to additional government or contractor facilities. • Position operates in a low supervision independent capacity, working with cross-domain groups across the nation.
Responsibilities: • Support continuous data ingest operations, monitoring data feeds, pipeline health, and overall data quality. • Visualize and interpret data findings through dynamic reports and dashboards for leadership and users. • Use data manipulation and visualization tools to communicate real‑time and historical trends. • Collaborate with platform, software, and data engineering teams to reconfigure pipelines for improved reliability. • Work with data in multiple formats including Excel, CSV, JSON, and XML. • Support incident management processes including issue documentation, resolution, and root‑cause analysis for recurring data outages. • Develop and maintain software to automate monitoring of real‑time data feeds, including alerts for timeliness, lineage, volume, and distribution issues. • Leverage historical pipeline data to identify improvements in ingest performance and reliability. • Assist with designing, developing, testing, and implementing web‑based collaboration and reporting tools. • Demonstrate proficiency in Python or Bash scripting for analytics, automation, and data operations. • Utilize open‑source analytics and visualization tools to monitor system performance.
Qualifications: • Must have an active TS/SCI clearance • Bachelor’s degree in Computer Science, Mathematics, Engineering, Physics, Information Systems, or related field. • 5-15 years of experience in data engineering or related experience • At least 2+ years of experience with real-time data streaming • Strong experience handling structured and unstructured data across various formats. • Proficiency with Python • Experience with JSON or XML • Experience with any of the following data streaming tools such as: Apache (Kafka, Pulsar, Flink, Storm, Samza, Spark, Beam, Redpanda, or NiFi), Confluent Platform, StreamNative Platform, Cloudera Streaming, AWS Kinesis Data Streams/Firehose, AWS MSK, Google Cloud Data Stream, Google Dataflow (stream mode), RabbitMQ, NATS Jetstream, ZeroMQ. • Experience with Linux OS Preferred Experience: • Experience with intelligence and C2 data sets (ELINT, COMINT, MASINT, GEOINT). • Knowledge of data mining, data modeling, statistics, and machine learning. • Familiarity with Kubernetes cluster deployment and management. Compensation: Pay range: $170,000 - $230,000 (Based on years of relevant experience)
Benefits: Comprehensive benefits package including medical, dental, vision, 401k, 20 days of paid time off, 11 federal holidays, and sick leave.

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