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Streaming Data Engineer Jobs (NOW HIRING)

Otter

Software Engineer - Streaming Data

Seattle, WA · On-site

$130K - $156K/yr

They are seeking a Software Engineer - Streaming Data to lead the development and maintenance of real-time streaming pipelines, ensuring reliable data delivery and collaborating with cross-functional ...

Otter

Staff Software Engineer - Streaming Data

Seattle, WA · On-site

$130K - $156K/yr

They are seeking a Staff Software Engineer to lead the development and maintenance of real-time streaming data pipelines, ensuring reliable data delivery and collaborating with various teams to meet ...

Otter

Software Engineer - Streaming Data

Seattle, WA · On-site

$167K - $230K/yr

Establish and promote best practices in streaming data engineering, data governance, and cloud platforms while optimizing data models for streaming analytics. What we're looking for * 3+ years of ...

Otter

Software Engineer - Streaming Data

Seattle, WA

$167K - $230K/yr

Establish and promote best practices in streaming data engineering, data governance, and cloud platforms while optimizing data models for streaming analytics. What we're looking for * 3+ years of ...

InterSources

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Senior Data Engineer - Azure & Databricks We are seeking a highly skilled Senior Data Engineer to ... You will lead cloud-based data migration efforts, implement batch and streaming solutions, and ...

NAVA Software Solutions

Data Engineer - Remote

Richmond, VA · On-site +1

$113K - $136K/yr

Data Engineer Location: 100% Remote Duration: 12 months Required Qualifications: * 7+ Years ... Kafka, Flink, or Spark Streaming) * 3+ Years Experience in open source frameworks (Spring Boot ...

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Streaming Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do streaming data engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for streaming data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 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 engineers make 500,000?

Senior streaming data engineers with extensive experience, specialized skills in real-time data processing, and proficiency with tools like Kafka or Spark can reach or exceed a $500,000 annual salary, especially in high-cost-of-living areas or large tech companies. Achieving this level often requires advanced certifications, leadership roles, and a strong track record of managing large-scale data pipelines.

What is a streaming data engineer?

A streaming data engineer designs, builds, and maintains systems that process real-time data streams using tools like Apache Kafka, Spark Streaming, or Flink. They focus on ensuring low-latency data flow, data integrity, and scalability for applications that require immediate data insights.

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.

What engineers make $300,000 a year?

Senior streaming data engineers or data architects with extensive experience, advanced skills in distributed systems, and proficiency in tools like Kafka, Spark, or cloud platforms can earn $300,000 or more annually. High compensation often reflects expertise, leadership responsibilities, and working in large-scale or high-demand environments.

How to get a job at Netflix as a data engineer?

To become a data engineer at Netflix, candidates should have strong skills in distributed data processing, such as experience with Apache Spark, Hadoop, or similar tools, and proficiency in programming languages like Java, Scala, or Python. A background in computer science, data architecture, and experience with cloud platforms like AWS are also valuable. Demonstrating experience with large-scale data pipelines and a solid understanding of data privacy and security is important during the application process.
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Streaming Data Engineer jobs near you
Streaming Data Engineer (Kafka & Spark) - Q125

Streaming Data Engineer (Kafka & Spark) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$54.50 - $72/hr

Full-time

Medical, Retirement, PTO

Posted 17 days ago

Job description

Overview:
Streaming Data Engineer (Kafka & Spark)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking a skilled Streaming Data Engineer to build real-time data pipelines using Kafka and Spark. This role focuses on designing low-latency event streaming solutions to enable rapid data processing and analytics.
Key Responsibilities
  • Develop real-time data pipelines using Kafka for event streaming and Spark Streaming or Structured Streaming for processing.
  • Design and manage Kafka topics, producers, and consumers to ensure low-latency data flows.
  • Implement scalable streaming architectures to handle high-velocity data with minimal latency.
  • Collaborate with data teams to integrate streaming data into analytics and machine learning workflows.
  • Optimize Spark jobs for performance and reliability in real-time processing environments.
  • Monitor and troubleshoot streaming pipelines to ensure data integrity and system availability.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience as a Data Engineer with a focus on Kafka and Spark Streaming or Structured Streaming.
  • Proficiency in building real-time and low-latency data pipelines using event streaming technologies.
  • Strong understanding of distributed systems and streaming data architectures.
  • Experience with Spark for processing and transforming streaming data in production.

Preferred Qualifications
  • Familiarity with cloud-based streaming services like AWS Kinesis or Azure Event Hubs.
  • Exposure to advanced Kafka configurations for fault tolerance and scalability.
  • Knowledge of monitoring tools like Confluent Control Center or Prometheus for streaming pipelines.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
Data Engineer, Kafka, Event Streaming, Spark Streaming, Structured Streaming, Real-Time, Low Latency

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