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Intern Streaming Data Engineer Jobs in California

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 ...

Staffingine LLC

AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Job Title: AWS Data Engineer Job Location: San Francisco, CA Job Type: Contract * 7+ years of ... Implement and manage ETL processes using AWS Glue and EMR for both batch and streaming data * Data ...

YO AI Labs

Senior Data Engineer

Glendale, CA

$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 ...

Paramount

Data Engineer Data Pipelines and ETL

Burbank, CA · On-site

$121K - $146K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Voxelcloud

Data Engineer Intern

Los Angeles, CA · On-site

$123K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Reporting to Data Team Lead, the Data Engineer intern will participate in the acquisition and manipulation of massive datasets in multi-modal formats (medical images, text(EMR), etc.) on cloud ...

Voxelcloud

Data Engineer Intern

Los Angeles, CA

$123K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Reporting to Data Team Lead, the Data Engineer intern will participate in the acquisition and manipulation of massive datasets in multi-modal formats (medical images, text(EMR), etc.) on cloud ...

Gamma

Software Engineer, Data Systems

San Francisco, CA · On-site

$134K - $162K/yr

Lead initiatives to build and optimize CDC (change data capture) pipelines and streaming data ... Mentor engineers and elevate data engineering practices across analytics, product, and engineering ...

Apple

Sr Data Engineer, AIML

Cupertino, CA

$184K - $324K/yr

  • Medical

  • Dental

  • Retirement

Strong hands-on experience designing and building large-scale batch and streaming data pipelines ... Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field (or ...

Methodic

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

... streaming data. • Experience building and maintaining ETL pipelines - knowledge of tools like ... from engineering to product to business) on data needs and interpretations. Preferred : • ...

Apple

Sr Data Engineer, AIML

Cupertino, CA · On-site

$130K - $177K/yr

Strong hands-on experience designing and building large-scale batch and streaming data pipelines ... Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field (or ...

Paramount

Data Engineer Data Pipelines and ETL

Burbank, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Apple, Inc.

Sr Data Engineer, AIML

Cupertino, CA · On-site

$130K - $177K/yr

Strong hands-on experience designing and building large-scale batch and streaming data pipelines ... Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field (or ...

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Intern Streaming Data Engineer information

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 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 are popular job titles related to Intern Streaming Data Engineer jobs in California?

For Intern Streaming Data Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Intern Streaming Data Engineer jobs in California look for?

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Cities in California with the most Intern Streaming Data Engineer job openings:

Intern Streaming Data Engineer jobs near you

Streaming Data Engineer

Bright Vision Technologies

Sunnyvale, CA • Remote

$105K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Streaming Data Engineer – Remote
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Streaming Data Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $78,000–$105,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary
We are seeking an experienced Streaming Data Engineer to architect, deploy, and operate large-scale Apache Kafka and Confluent platform environments supporting mission-critical event-driven workloads. In this role you will own the Kafka platform end-to-end, including cluster sizing, configuration, security, automation, observability, and developer enablement. The ideal candidate will combine deep Kafka internals knowledge with strong DevOps and SRE practices, and will partner with application teams to deliver a reliable, performant, and developer-friendly streaming platform. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production.
Required Qualifications
  • Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
  • Five or more years of experience operating Apache Kafka or Confluent Platform in production.
  • Deep, hands-on knowledge of Kafka internals (partitions, replication, ISRs, consumer groups).
  • Strong experience with Kafka security (SASL, mTLS, ACLs, RBAC).
  • Hands-on experience with Kafka Connect, Schema Registry, and either Kafka Streams or ksqlDB.
  • Experience with HA/DR strategies for Kafka.
  • Strong scripting skills in Python, Bash, or Go.
  • Hands-on experience with infrastructure-as-code (Terraform, Ansible).
  • Working knowledge of observability tooling for Kafka.
  • Excellent troubleshooting, communication, and documentation skills.
Preferred Qualifications
  • Confluent Certified Administrator or Developer credentials.
  • Experience operating Kafka on Kubernetes (Strimzi, Confluent Operator).
  • Exposure to managed Kafka services (AWS MSK, Azure Event Hubs Kafka API).
  • Familiarity with stream processing frameworks (Flink, Spark Streaming).
  • Experience with data governance and lineage for streaming data.
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to hilda@bvteck.com
Bright Vision Technologies is an Equal Opportunity Employer.

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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