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Entry Level Streaming Data Engineer Jobs (NOW HIRING)

Data Engineer

Dallas, TX ยท On-site

$113K - $136K/yr

Be a part of a DevOps team that completely owns and supports their product Implement batch and streaming data pipelines using cloud technologies * Leads development of coding standards, best ...

Data Engineer

Washington, DC ยท Remote

$117K - $140K/yr

Vision insurance Seeking a Data Engineer responsible for designing, developing, and maintaining ... Experience with streaming data pipelines. * Experience supporting enterprise data governance. This ...

Python Data Engineer

Tampa, FL ยท On-site

$108K - $129K/yr

Strong hands-on experience in Python for data engineering and application development. Extensive ... Hands-on experience with Apache Flink for real-time stream processing and event-driven data ...

DATA ENGINEER I

Camden, NJ ยท On-site

$90K - $100K/yr

Data Engineer I Who We Are US Cold owns and operates one of the most complex temperature-controlled ... Design, build, test, and maintain batch and streaming data pipelines * Develop and support data ...

Data Engineer I

Camden, NJ

$115K - $138K/yr

Data Engineer I Who We Are US Cold owns and operates one of the most complex temperature-controlled ... Design, build, test, and maintain batch and streaming data pipelines * Develop and support data ...

Data engineer Location: Need to come in hybrid 3 times a week too Iselin, NJ Need to come onsite ... Experience with Hadoop, Kafka, data lakes, and real-time streaming * Data Modeling & Transformation:

DATA ENGINEER I

Camden, NJ ยท On-site

$90K - $100K/yr

Data Engineer I Who We Are US Cold owns and operates one of the most complex temperature-controlled ... Design, build, test, and maintain batch and streaming data pipelines * Develop and support data ...

Data Engineer I

Camden, NJ ยท On-site

$90K - $100K/hr

Data Engineer I Who We Are US Cold owns and operates one of the most complex temperature-controlled ... Design, build, test, and maintain batch and streaming data pipelines * Develop and support data ...

Data Engineer I

Camden, NJ ยท On-site

$90K - $100K/hr

Data Engineer I Who We Are US Cold owns and operates one of the most complex temperature-controlled ... Design, build, test, and maintain batch and streaming data pipelines * Develop and support data ...

Data Engineer

Bellevue, WA ยท On-site

$129K - $155K/yr

Data Engineer Location: Bellevue, WA Job Type: Onsite/Remote: Hybrid * Experience in Synapse with ... Data quality check of the new streams * Monitoring of the data pipeline created in Azure Data ...

AI Data Engineer

Detroit, MI

$113K - $136K/yr

Develop streaming data pipelines using technologies like Apache Kafka to support real-time AI ... Programming: Fluency in programming languages such as Python and SQL, and familiarity with others ...

Data Engineer

Houston, TX ยท On-site

$109K - $131K/yr

Design, build, and operate scalable batch and real-time/streaming data pipelines on Databricks and ... Apply software engineering discipline to data: version control, code review, automated testing, and ...

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Entry Level Streaming Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do entry level streaming data engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for entry level 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 Entry Level Streaming Data Engineer vs Data Analyst?

AspectEntry Level Streaming Data EngineerData Analyst
Required SkillsKnowledge of streaming platforms (e.g., Kafka, Spark), basic programming, data modelingData visualization, SQL, statistical analysis, Excel
CertificationsOptional certifications in data engineering or cloud platformsCertifications in data analysis or business intelligence tools
Work EnvironmentDeveloping real-time data pipelines, working with streaming data systemsInterpreting data, creating reports, supporting decision-making
Industry UsageTech, finance, e-commerce, where real-time data processing is criticalMarketing, finance, healthcare, focusing on data insights

In summary, Entry Level Streaming Data Engineers focus on building and maintaining real-time data pipelines using streaming technologies, while Data Analysts interpret and visualize data to support business decisions. Both roles require different skill sets but are essential in data-driven industries.

Can I get an entry level streaming data engineer job with no experience?

Entry level streaming data engineer roles typically require some knowledge of data processing tools like Apache Kafka or Spark, and familiarity with programming languages such as Python or Java. While prior experience is often preferred, candidates with relevant internships, certifications, or strong foundational skills in data concepts can sometimes qualify for entry-level positions. Demonstrating a willingness to learn and understanding of streaming architectures can improve chances of securing such roles.

What is an entry level streaming data engineer?

An entry level streaming data engineer is a professional responsible for designing, building, and maintaining systems that process real-time data streams. They typically work with tools like Apache Kafka, Spark Streaming, or Flink and require foundational knowledge of programming, data architecture, and cloud platforms. This role often involves collaborating with data scientists and software engineers to ensure efficient data flow and availability.
More about Entry Level Streaming Data Engineer jobs

What cities are hiring for Entry Level Streaming Data Engineer jobs?

Cities with the most Entry Level 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:

Infographic showing various Entry Level Streaming Data Engineer job openings in the United States as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% Hybrid job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Streaming Data Engineer (Kafka & Spark) - Q125

R2 Technologies Corporation

Alpharetta, GA โ€ข On-site

$54.50 - $72/hr

Full-time

Medical, Retirement, PTO

Re-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