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Seasonal Streaming Data Engineer Jobs (NOW HIRING)

ShiftCode Analytics

AWS Data Engineer

Saint Louis, MO · On-site

$111.30K - $133.70K/yr

Develop and test streaming data pipelines from multiple data sources * Develop and test data services and APIs * Guide the client's development team in AWS Data Engineering pipeline design and best ...

InterSources

Data Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/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

$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 ...

Overwatch Agriculture

Principal Data Engineer

Boulder, CO · 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 ...

Pipe Recruit

Sr Data Engineer

Glendale, CA · On-site

$121.30K - $145.70K/yr

Sr Data Engineer Glendale, California, United States About the Job Sr Data Engineer Job Title: Sr. ... Develop real-time streaming data pipelines. * Work with technologies including Airflow, Spark ...

Diverse Lynx

Data Engineer

Torrance, CA · On-site

$117.60K - $141.20K/yr

Data Engineer Location: Torrance, CA Key Responsibilities * Design and build end-to-end data ... Knowledge of batch and streaming data processing * Understanding of AWS IAM and cloud security ...

Global Channel Management

AWS Data Engineer

San Francisco, CA · On-site

$134.90K - $162K/yr

About the job AWS Data Engineer AWS Data Engineer needs 7+ years of experience in Amazon Web ... Implement and manage ETL processes using AWS Glue and EMR for both batch and streaming data Data ...

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Seasonal Streaming Data Engineer information

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$46K

$165K

$243.5K

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

As of May 28, 2026, the average yearly pay for seasonal streaming data engineer in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Seasonal Streaming Data Engineer, and why are they important?

To thrive as a Seasonal Streaming Data Engineer, you need expertise in real-time data processing, strong programming skills in languages like Python or Java, and a solid understanding of distributed systems, often backed by a relevant degree in computer science or engineering. Familiarity with streaming platforms such as Apache Kafka, Apache Flink, or Spark Streaming, as well as experience with cloud services like AWS or Azure, is typically required. Strong problem-solving abilities, adaptability, and effective communication help you collaborate efficiently and address dynamic project needs. These skills and qualities are crucial for building, maintaining, and optimizing data pipelines that support timely business insights in fast-paced, project-based environments.

What are the typical challenges faced by a Seasonal Streaming Data Engineer during peak periods?

Seasonal Streaming Data Engineers often encounter challenges related to high data volumes and rapidly changing workloads during peak seasons, such as major events or holidays. Ensuring real-time data pipelines remain stable and performant while scaling infrastructure to handle surges is a common hurdle. Additionally, collaborating closely with cross-functional teams, such as data analysts and DevOps, is essential for quick troubleshooting and deployment of solutions. Adapting to tight timelines and prioritizing tasks effectively are crucial skills for success in this role during busy periods.

What is a Seasonal Streaming Data Engineer?

A Seasonal Streaming Data Engineer is a data engineering professional who is typically hired on a temporary or contract basis to design, build, and maintain data pipelines that process and analyze streaming data in real time. These engineers focus on handling large volumes of continuously generated data, such as user activity logs or sensor readings, often for specific busy periods or special projects. Their work ensures that organizations can quickly gain insights from real-time data streams, supporting timely decision-making and responsive services. The 'seasonal' aspect refers to the role's temporary nature, often aligning with periods of high data activity or specific campaign needs.

What is the difference between Seasonal Streaming Data Engineer vs Streaming Data Engineer?

AspectSeasonal Streaming Data EngineerStreaming Data Engineer
CredentialsBachelor's in CS or related field, certifications in cloud platforms or data streaming toolsBachelor's in CS or related field, certifications in data streaming technologies
Work EnvironmentProjects with seasonal data patterns, cloud-based streaming platformsContinuous data streaming, real-time processing environments
Employer & IndustryRetail, e-commerce, or industries with seasonal data spikesTech companies, finance, or any industry with real-time data needs

The main difference is that a Seasonal Streaming Data Engineer focuses on handling data during specific seasonal periods, optimizing for seasonal spikes. In contrast, a Streaming Data Engineer manages continuous, real-time data streams without seasonal emphasis. Both roles require similar skills but differ in their project focus and data patterns.

More about Seasonal Streaming Data Engineer jobs
What cities are hiring for Seasonal Streaming Data Engineer jobs? Cities with the most Seasonal 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 Seasonal Streaming Data Engineer jobs? States with the most job openings for Seasonal Streaming Data Engineer jobs include:
What job categories do people searching Seasonal Streaming Data Engineer jobs look for? The top searched job categories for Seasonal Streaming Data Engineer jobs are:
Seasonal Streaming Data Engineer jobs near you
Infographic showing various Seasonal Streaming Data Engineer job openings in the United States as of May 2026, with employment types broken down into 4% Full Time, 92% Part Time, and 4% Temporary. Highlights an 100% Physical job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
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 22 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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