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Streaming Data Engineer Jobs in California (NOW HIRING)

Drunix Solution Inc

Data Engineer

Glendale, CA

$121.30K - $145.70K/yr

... time streaming data pipelines • Work with Airflow, Spark, Databricks, Delta Lake, and Snowflake • Collaborate with product managers, architects, and engineering teams • Help define best ...

Staffingine LLC

AWS Data Engineer

San Francisco, CA · On-site

$134.90K - $162K/yr

Job Title: AWS Data Engineer Job Location: San Francisco, CA Job Type: Contract * 7+ years of ... Implement and manage ETL processes using AWS Glue and EMR for both batch and streaming data * Data ...

CYNET SYSTEMS

Data Engineer

Torrance, CA · On-site

$55 - $60/hr

Knowledge of batch and streaming data processing. * Understanding of AWS IAM and cloud security ... AWS certification (Data Engineer or Solution Architect) Founded in 2010 and headquartered in the ...

Fanatics, Inc.

Senior Data Engineer

San Mateo, CA · On-site +1

$160K - $190K/yr

The Streaming Data Platform team builds and operates large-scale, real-time stream processing ... As a Senior Data Engineer, you will design, build, and operate production-grade streaming data ...

Fanatics, Inc.

Senior Data Engineer

San Mateo, CA · On-site

$160K - $190K/yr

The Streaming Data Platform team builds and operates large-scale, real-time stream processing ... As a Senior Data Engineer, you will design, build, and operate production-grade streaming data ...

Deloitte

Sr Databricks Data Engineer

San Diego, CA · On-site

$121.60K - $146K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data ... and streaming data solutions that support analytics, reporting, and operational use cases • ...

Deloitte

Sr Databricks Data Engineer

Los Angeles, CA · On-site

$123.40K - $148.20K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data ... and streaming data solutions that support analytics, reporting, and operational use cases • ...

Deloitte

Sr Databricks Data Engineer

San Jose, CA · On-site

$134.20K - $161.10K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data ... and streaming data solutions that support analytics, reporting, and operational use cases • ...

Deloitte

Sr Databricks Data Engineer

San Francisco, CA · On-site

$134.90K - $162K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data ... and streaming data solutions that support analytics, reporting, and operational use cases • ...

Deloitte

Sr Databricks Data Engineer

Costa Mesa, CA · On-site

$121.40K - $145.80K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data ... and streaming data solutions that support analytics, reporting, and operational use cases • ...

Magnite

Senior Data Engineer, Scala

Los Angeles, CA · On-site

$450/day

Senior Data Engineer, Scala New York City, NY Boston, MA Los Angeles, CA Broomfield, CO Seattle, WA ... Spark (batch + streaming) data pipelines, currently based both on Databricks and on-prem Spark ...

Magnite

Senior Data Engineer, Scala

Los Angeles, CA · Hybrid

$450/day

Senior Data Engineer, Scala New York City, NY Boston, MA Los Angeles, CA Broomfield, CO Seattle, WA ... Spark (batch + streaming) data pipelines, currently based both on Databricks and on-prem Spark ...

Gamma

Software Engineer, Data Systems

San Francisco, CA · On-site

$134.90K - $162K/yr

Lead initiatives to build and optimize CDC (change data capture) pipelines and streaming data ... Mentor engineers and elevate data engineering practices across analytics, product, and engineering ...

Raya

Senior Data Engineer, Data Products

Los Angeles, CA · On-site +1

$180K - $220K/yr

As Raya's second Data Engineer for Data Products, you will be a founding member of the data ... Experience implementing both batch and streaming data processing patterns. * Strong product ...

Nuro

Software Engineer, Data Platform

Mountain View, CA · On-site

$136.30K - $163.60K/yr

Responsibilities : • Design and develop unified, introspectable, large-scale batch and streaming ... data engineering, and its tooling and best practices • Knowledge of batch and streaming data ...

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Streaming Data Engineer information

See California salary details

$43.9K

$128K

$175.2K

How much do streaming data engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for streaming data engineer in California is $128,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

What does a Streaming Data Engineer do?

A Streaming Data Engineer designs, builds, and maintains real-time data pipelines that process continuous data streams. They work with technologies like Apache Kafka, Apache Flink, or Spark Streaming to handle large-scale data ingestion and transformation. Their role involves ensuring low-latency data processing, optimizing system performance, and integrating with data lakes or warehouses. They collaborate with data scientists, analysts, and DevOps teams to enable real-time analytics and decision-making.

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

To thrive as a Streaming Data Engineer, you need expertise in real-time data processing, programming (often in Java, Scala, or Python), and a solid understanding of distributed computing principles, typically supported by a degree in computer science or a related field. Familiarity with tools like Apache Kafka, Apache Flink, or Spark Streaming, and experience with cloud platforms such as AWS or Azure, are commonly required, with certifications in relevant technologies being a plus. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts make someone stand out in this position. These skills are crucial for efficiently building, optimizing, and maintaining robust streaming data pipelines in dynamic and collaborative environments.

What are the typical day-to-day responsibilities of a Streaming Data Engineer?

As a Streaming Data Engineer, your daily tasks often involve designing, building, and maintaining real-time data pipelines, troubleshooting data flow issues, and optimizing system performance for low-latency processing. You’ll regularly collaborate with data scientists, software engineers, and product teams to integrate new data sources and ensure data quality and reliability. Monitoring live data streams, updating infrastructure, and implementing new features or upgrades also form part of the routine. This role is dynamic and hands-on, offering a mix of independent problem-solving and teamwork in fast-paced, data-driven environments.
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Streaming Data Engineer jobs near you

Data Engineer

Drunix Solution Inc

Glendale, CA

$121.30K - $145.70K/yr

Other

Medical, Dental, Retirement

Posted 17 days ago

Job description

We’re Hiring: Senior Data Engineer 🚀

📍 Glendale, CA — Onsite 4 Days/Week
📌 Local Candidates Only
📌 W2 Opportunity Only

We’re seeking an experienced Senior Data Engineer to help build and scale our Core Data Platform. This is an exciting opportunity to work with modern data technologies and collaborate with cross-functional teams driving enterprise data solutions.

🔹 Responsibilities:
• Maintain, enhance, and expand existing Core Data platform pipelines
• Build and maintain APIs for downstream applications
• Develop real-time streaming data pipelines
• Work with Airflow, Spark, Databricks, Delta Lake, and Snowflake
• Collaborate with product managers, architects, and engineering teams
• Help define best practices, standards, and pipeline conventions
• Ensure platform reliability, operational efficiency, and SLA performance

🔹 Qualifications:
✔ 5+ years of data engineering experience building large-scale pipelines
✔ Strong programming skills in Python, Java, or Scala
✔ Production experience with Spark and distributed systems
✔ Hands-on experience with Airflow orchestration
✔ Experience with Snowflake, Databricks, BigQuery, or other MPP/cloud databases
✔ Experience developing APIs using GraphQL
✔ Strong understanding of OLTP vs OLAP environments
✔ Background in distributed data processing, software engineering, or data modeling

🔹 Benefits:
✅ Medical insurance options
✅ Dental insurance
✅ 401(k)
✅ Overtime eligibility
✅ Sick leave benefits per state policy

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