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Intern Streaming Data Engineer Jobs in Brea, CA (NOW HIRING)

IT America Inc

Sr. Data Engineer (AI + AWS)

Irvine, CA · On-site

$122K - $147K/yr

Build and optimize data ingestion frameworks for structured, semi-structured, and streaming data. * Collaborate with Data Scientists and AI Engineers to prepare, transform, and deliver high-quality ...

YO AI Labs

Senior Data Engineer

Glendale, CA · On-site

$112K - $152K/yr

Develop real-time streaming data pipelines. * Tech stack includes Airflow, Spark, Databricks, Delta Lake, and Snowflake. * Collaborate with product managers, architects, and other engineers to drive ...

Eleven Recruiting

Data Engineer II

Long Beach, CA · On-site

$125K - $150K/yr

Eleven Recruiting is seeking a Data Engineer II for one of our largest aerospace manufacturing ... Preferred : • Familiarity with streaming data technologies is a plus. • Experience with ...

Paramount

Data Engineer Data Pipelines and ETL

Burbank, CA · On-site

$121K - $146K/yr

Contribute to architectural decisions across streaming systems, data lakes, and warehouses. Data ... Programming & ML Data Integration Proficiency in Python (or similar language) for data processing ...

Paramount

Data Engineer Data Pipelines and ETL

Burbank, CA · On-site

$121K - $146K/yr

Design, develop, and maintain scalable batch and streaming data pipelines for large-scale ... Programming & ML Data Integration * Proficiency in Python (or similar language) for data processing ...

Paramount

Data Engineer Data Pipelines and ETL

Burbank, CA

$121K - $146K/yr

Design, develop, and maintain scalable batch and streaming data pipelines for large-scale ... Programming & ML Data Integration * Proficiency in Python (or similar language) for data processing ...

1 point system

Data Engineer

Los Angeles, CA · On-site

$60/hr

Job Title Data Engineer Client Confidential Location Los Angeles, CA (5 days - Onsite) Type of Hire ... Strong understanding of the TV and streaming landscape across linear, digital, AVOD, FAST, SVOD ...

Fox

Data Warehousing Specialist

Los Angeles, CA · On-site +1

$183K - $202K/yr

... streaming workloads. 5) Adhere to best practices and agreed upon design patterns across all Data Engineering solutions. 6) Ensure the code is elegantly designed, efficiently coded and effectively ...

Planet DDS

Data Engineer IV

Irvine, CA · On-site

$118K - $190K/yr

Overview The Data Engineer IV will design and lead the build-out of Planet DDS's next-generation ... Experience with real-time and streaming data architectures (Kafka, Kinesis, or equivalent). * Hands ...

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All JobsIntern Streaming Data Engineer JobsIntern Streaming Data Engineer Jobs in Brea, CA

Intern Streaming Data Engineer information

See Brea, CA salary details

$13

$26

$40

How much do intern streaming data engineer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for intern streaming data engineer in Brea, CA is $26.33, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $29.90 per hour, depending on experience, location, and employer.

What does an intern streaming data engineer do?

An Intern Streaming Data Engineer assists in designing, developing, and maintaining systems that process real-time data streams. They typically work with technologies like Apache Kafka, Apache Flink, or Spark Streaming to collect, process, and analyze data as it arrives. Their responsibilities may include writing code, troubleshooting data pipelines, and collaborating with senior engineers to ensure data flows efficiently. The role is ideal for students or recent graduates looking to gain hands-on experience with big data and real-time analytics.

What types of projects or tasks can an intern streaming data engineer expect to work on during their internship?

As an Intern Streaming Data Engineer, you can expect to work on projects involving the development, testing, and optimization of real-time data pipelines. Typical tasks may include assisting with the integration of streaming platforms like Apache Kafka or AWS Kinesis, writing and debugging code to process large volumes of incoming data, and collaborating with senior engineers to ensure data quality and reliability. You'll often work within a team of data engineers and analysts, gaining hands-on experience with the latest big data tools and contributing to solutions that support real-time analytics and business decision-making.

What are the key skills and qualifications needed to thrive as an intern streaming data engineer, and why are they important?

To thrive as an Intern Streaming Data Engineer, you typically need foundational knowledge in computer science, data engineering concepts, and familiarity with real-time data processing. Experience with tools like Apache Kafka, Apache Flink, or Spark Streaming, and programming languages such as Python or Java, is often preferred. Strong problem-solving skills, attention to detail, and effective teamwork and communication abilities help set candidates apart. These skills and qualifications are crucial for efficiently building, maintaining, and troubleshooting streaming data pipelines in dynamic data-driven environments.

What is the difference between Intern Streaming Data Engineer vs Intern Data Analyst?

AspectIntern Streaming Data EngineerIntern Data Analyst
Required SkillsKnowledge of streaming platforms (e.g., Kafka, Spark Streaming), programming (Python, Java), data pipeline developmentData analysis, SQL, Excel, basic statistical skills
Work EnvironmentDeveloping real-time data pipelines, working with big data toolsAnalyzing stored data, generating reports and insights
Industry UsageTech, finance, e-commerce companies focusing on real-time data processingMarketing, business intelligence, research departments

The Intern Streaming Data Engineer focuses on building and maintaining real-time data pipelines using streaming technologies, requiring programming and big data skills. In contrast, the Intern Data Analyst primarily analyzes stored data to generate insights, emphasizing statistical and reporting skills. Both roles are common in data-driven industries but serve different functions within data management and analysis.

What job categories do people searching Intern Streaming Data Engineer jobs in Brea, CA look for?

The top searched job categories for Intern Streaming Data Engineer jobs in Brea, CA are:

What cities near Brea, CA are hiring for Intern Streaming Data Engineer jobs?

Cities near Brea, CA with the most Intern Streaming Data Engineer job openings:

Intern Streaming Data Engineer jobs near you

Sr. Data Engineer (AI + AWS)

Irvine, CA • On-site

IT America Inc
Software Development • 201 - 500 employees
Learn more about IT America Incexternal

$122K - $147K/yr

Contractor

Re-posted 27 days ago

Job description

Position: Sr. Data Engineer (AI + AWS)

Location: Irvine/LA, CA  (Onsite)

Duration: Long term contract

Job Summary:

We are seeking a highly skilled Data Engineer with expertise in AI-enabled data platforms, AWS cloud services, Python, PySpark, and Kubernetes to design, develop, and optimize scalable data pipelines and machine learning data infrastructure. The ideal candidate will have experience building cloud-native data solutions, processing large-scale datasets, and supporting AI/ML workloads in AWS environments.

Key Responsibilities:

  • Design, build, and maintain scalable ETL/ELT data pipelines using Python and PySpark.
  • Develop cloud-native data solutions utilizing AWS services such as S3, EMR, Glue, Lambda, Redshift, Athena, ECS/EKS, IAM, CloudWatch, and Step Functions.
  • Build and optimize data ingestion frameworks for structured, semi-structured, and streaming data.
  • Collaborate with Data Scientists and AI Engineers to prepare, transform, and deliver high-quality datasets for AI/ML model training and inference.
  • Deploy and manage containerized data applications using Kubernetes (EKS) and Docker.
  • Develop data processing workflows using Spark and optimize performance for large-scale distributed processing.
  • Design data lakes and modern data architectures following AWS best practices.
  • Implement data quality checks, monitoring, logging, and alerting mechanisms.
  • Optimize SQL queries and data models for analytical workloads.
  • Build CI/CD pipelines for automated deployment of data engineering solutions.
  • Ensure data governance, security, compliance, and access controls across cloud environments.
  • Troubleshoot production issues and provide performance tuning for distributed data systems.
  • Work closely with cross-functional teams in Agile/Scrum environments.

Required Qualifications:

  • Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or related field.
  • 10+ years of Data Engineering experience.
  • Strong programming experience in Python.
  • Hands-on expertise with PySpark and Apache Spark.
  • Strong experience with AWS Cloud services.
  • Experience with Kubernetes (EKS) and Docker.
  • Strong SQL skills and experience with relational databases.
  • Experience building scalable ETL/ELT pipelines.
  • Familiarity with Git and CI/CD practices.
  • Excellent analytical, debugging, and problem-solving skills.

Required Technical Skills:

  • Cloud: AWS (S3, Glue, EMR, Lambda, Redshift, Athena, ECS/EKS, IAM, CloudWatch, Step Functions)
  • Programming: Python
  • Big Data: PySpark, Apache Spark
  • Containers: Kubernetes, Docker
  • Databases: PostgreSQL, MySQL, SQL Server, Redshift
  • Data Storage: Data Lake, Data Warehouse
  • Version Control: Git
  • Operating Systems: Linux
  • Methodology: Agile/Scrum

AI/ML Experience:

  • Support AI/ML data pipelines and feature engineering.
  • Prepare datasets for model training and inference.
  • Experience integrating ML workflows into cloud-based data platforms.
  • Familiarity with LLMs, Generative AI, Vector Databases, or Retrieval-Augmented Generation (RAG) is a plus.
  • Experience with AWS AI services such as Amazon SageMaker, Bedrock, or Amazon OpenSearch is preferred.

Preferred Qualifications:

  • Experience with Apache Airflow or AWS Managed Workflows (MWAA).
  • Knowledge of Kafka or Kinesis for streaming data.
  • Experience with Delta Lake, Iceberg, or Apache Hudi.
  • Infrastructure-as-Code experience using Terraform or CloudFormation.
  • AWS certifications (Solutions Architect, Data Engineer, or Machine Learning Specialty) are highly desirable.