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Seasonal Streaming Data Engineer Jobs (NOW HIRING)

GCP Data Engineer

Richardson, TX · 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 ...

NOSQL Data Engineer

Seattle, WA · Hybrid

$130.40K - $156.60K/yr

Experience with streaming/data messaging frameworks (e.g., Apache Kafka, AWS Kinesis, Apache Flink, Spark Streaming). * Proficiency in software engineering languages (Java, Python, or Scala)

Data Engineer

Washington, DC · On-site

$129.60K - $155.70K/yr

Phone Screening followed by In-Person Duration: 12+ months Background The Data Engineer designs, builds, and operates batch and streaming data pipelines and curated data products on the Enterprise ...

Databricks Data Engineer

Marlborough, NH · 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

Austin, TX · Hybrid

$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 ...

Data Engineer II

Boston, MA · 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 · 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 ...

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 ...

Data Engineer 4 - DENG4

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Data engineering skills building, operating, and optimizing batch and/or streaming data pipelines. Working with relational databases, data lakes, and NoSQL systems. Transforming raw data into curated ...

Data Engineer

Richmond, VA · On-site

$113.30K - $136.10K/yr

Data Engineer - Spark & Real-Time Data Processing Location: Richmond, VA Duration: 6 Months Role ... Real-Time & Streaming Data Processing: Develop real-time and near real-time data pipelines using ...

Data Engineer - Python

Washington, DC · On-site

$129.60K - $155.70K/yr

As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our data ... Streaming and Batch Workflows: * Design and implement streaming workflows using PySpark Streaming ...

Data Engineer

Iselin, NJ · Hybrid

$116.30K - $139.60K/yr

Data Engineer Location: Hybrid 3 times a week too Iselin, NJ May Need to come onsite for final or ... Experience with Hadoop, Kafka, data lakes, and real-time streaming * Data Modeling & Transformation:

Data Engineer

Henrico, VA · On-site

$103.90K - $124.80K/yr

Data Engineer - Spark & Real-Time Data Processing Location: Richmond, VA Duration: 6 Months Role ... Real-Time & Streaming Data Processing: Develop real-time and near real-time data pipelines using ...

Data Engineer

Dallas, TX · On-site

$113.30K - $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- only Local

Santa Clara, CA · On-site

$133.40K - $160.20K/yr

Data Engineer We are looking for a Data Engineer in Santa Clara, CA. Submit only local candidates ... Build and operate scalable batch and streaming data pipelines. * Model, document, and publish ...

Data Engineer

Torrance, CA · On-site

$117.60K - $141.20K/yr

... streaming data processing • Understanding of AWS IAM and cloud security concepts Good to Have • Experience with Airflow / Step Functions • Exposure to Lakehouse (Iceberg / Delta Lake) • AWS ...

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Seasonal Streaming Data Engineer information

See salary details

$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:
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.
GCP Data Engineer

GCP Data Engineer

IT America Inc

Richardson, TX • On-site

$104K - $124.90K/yr

Contractor

Posted 20 days ago


Job description

Position: GCP Data Engineer

Location: Richardson, TX

Duration: Long term contract

Interview: F2F (Face to Face)/Onsite

Job Summary:

We are seeking an experienced Google Cloud Platform (GCP) Data Engineer to design, build, and optimize data pipelines and analytics solutions. The ideal candidate will have hands-on expertise with GCP services, ETL/ELT processes, and big data technologies, enabling the delivery of scalable and high-performance data solutions.

Key Responsibilities:

  • Design, develop, and maintain data pipelines and ETL/ELT workflows using GCP services such as BigQuery, Dataflow, Pub/Sub, Data Fusion, Dataproc, and Cloud Storage.
  • Build and optimize data warehouses and data lakes on GCP.
  • Collaborate with data scientists, analysts, and business stakeholders to deliver data models that meet business needs.
  • Implement data quality, governance, and security best practices.
  • Monitor and troubleshoot pipeline performance using Cloud Monitoring and Cloud Logging.
  • Automate data workflows and improve efficiency using Python, SQL, and scripting tools.
  • Stay updated on emerging GCP services and recommend adoption where beneficial.

Required Skills & Qualifications:

  • Bachelor’s degree in Computer Science, Data Engineering, or related field.
  • 5+ years of experience as a Data Engineer with hands-on GCP experience.
  • Strong skills in SQL and Python.
  • Experience with BigQuery and at least two of the following: Dataflow, Pub/Sub, Data Fusion, Dataproc, Cloud Composer.
  • Knowledge of data modeling, data warehousing, and big data architectures.
  • Experience with batch and streaming data processing.
  • Understanding of IAM, data security, and compliance requirements.

Preferred Qualifications:

  • GCP Professional Data Engineer or Associate Cloud Engineer certification.
  • Experience with Apache Beam, Kafka, or similar streaming frameworks.
  • Familiarity with CI/CD pipelines for data engineering workflows.
  • Exposure to machine learning data preparation pipelines.