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Freelance Streaming Data Engineer Jobs (NOW HIRING)

Data Engineer - Remote

Richmond, VA ยท On-site +1

$113.60K - $136.40K/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 ...

Principal Data Engineer

Boulder, CO ยท On-site

$120K - $165K/yr

You'll leverage your expertise in data engineering, streaming technologies, and leadership to drive the team towards achieving business objectives. Key Responsibilities: * Team Leadership: Lead ...

GCP Data Engineer

Richardson, TX ยท On-site

$104K - $124.90K/yr

Experience with batch and streaming data processing. * Understanding of IAM, data security, and compliance requirements. Preferred Qualifications: * GCP Professional Data Engineer or Associate Cloud ...

Databricks Data Engineer

Marlborough, NH ยท On-site

$113.20K - $136K/yr

This role is for a Databricks Data Engineer with experience in designing, developing, and deploying robust, scalable batch and streaming data pipelines using PySpark, Spark SQL, and Delta Live Tables.

Data Engineer II

Boston, MA ยท On-site

$124.40K - $149.40K/yr

They are seeking a Data Engineer II to design and operate scalable ELT pipelines, improve data ... batch and streaming data systems using Spark and Kafka, including monitoring and resolving ...

Data Engineer II

Boston, MA ยท On-site

$124.40K - $149.40K/yr

They are seeking an experienced Data Engineer who will design, build, and optimize scalable data ... batch and streaming data systems using Spark and Kafka, including monitoring and resolving ...

Data Engineer

Austin, TX ยท On-site

$113.50K - $136.30K/yr

The ideal candidate will bring strong expertise in Java-based data systems , batch and streaming ... Key Responsibilities Data Engineering & Pipeline Development * Design, develop, and maintain ...

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Freelance Streaming Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do freelance streaming data engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for freelance 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 is the difference between Freelance Streaming Data Engineer vs Data Engineer?

AspectFreelance Streaming Data EngineerData Engineer
CredentialsRelevant certifications (e.g., cloud, data streaming)Similar certifications, often more formal education
Work EnvironmentIndependent, project-based, remoteFull-time, in-house or remote
Industry UsageFreelance platforms, consultingOrganizations, tech companies
Search & Comparison IntentProject-based, flexible workLong-term employment, team roles

Freelance Streaming Data Engineers typically work independently on short-term projects, focusing on streaming data pipelines using tools like Kafka or Spark. Data Engineers often hold full-time roles within organizations, managing broader data infrastructure. Both roles require similar skills and certifications, but differ mainly in employment type and work setting.

What cities are hiring for Freelance Streaming Data Engineer jobs? Cities with the most Freelance Streaming Data Engineer job openings:
What are the most commonly searched types of Streaming Data Engineer jobs? The most popular types of Streaming Data Engineer jobs are:
What states have the most Freelance Streaming Data Engineer jobs? States with the most job openings for Freelance Streaming Data Engineer jobs include:
Streaming Data Engineer (Kafka & Spark) - Q125

Streaming Data Engineer (Kafka & Spark) - Q125

R2 Technologies Corporation

Alpharetta, GA โ€ข On-site

$54.50 - $72/hr

Full-time

Medical, Retirement, PTO

Posted 24 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