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Intern Streaming Data Engineer Jobs in California

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 ...

AWS Data Engineer

San Francisco, CA · On-site

$134.90K - $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 ...

Data Engineer

Torrance, CA · On-site

$55 - $60/hr

Knowledge of batch and streaming data processing. * Understanding of AWS IAM and cloud security ... AWS certification (Data Engineer or Solution Architect) Founded in 2010 and headquartered in the ...

Senior Data Engineer

San Mateo, CA · On-site +1

$160K - $190K/yr

The Streaming Data Platform team builds and operates large-scale, real-time stream processing ... As a Senior Data Engineer, you will design, build, and operate production-grade streaming data ...

Senior Data Engineer

San Mateo, CA · On-site

$160K - $190K/yr

The Streaming Data Platform team builds and operates large-scale, real-time stream processing ... As a Senior Data Engineer, you will design, build, and operate production-grade streaming data ...

Sr Databricks Data Engineer

San Diego, CA · On-site

$121.60K - $146K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data ... and streaming data solutions that support analytics, reporting, and operational use cases • ...

Sr Databricks Data Engineer

Los Angeles, CA · On-site

$123.40K - $148.20K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data ... and streaming data solutions that support analytics, reporting, and operational use cases • ...

Sr Databricks Data Engineer

San Jose, CA · On-site

$134.20K - $161.10K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data ... and streaming data solutions that support analytics, reporting, and operational use cases • ...

Sr Databricks Data Engineer

San Francisco, CA · On-site

$134.90K - $162K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data ... and streaming data solutions that support analytics, reporting, and operational use cases • ...

Sr Databricks Data Engineer

Costa Mesa, CA · On-site

$121.40K - $145.80K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data ... and streaming data solutions that support analytics, reporting, and operational use cases • ...

Senior Data Engineer, Scala New York City, NY Boston, MA Los Angeles, CA Broomfield, CO Seattle, WA ... Spark (batch + streaming) data pipelines, currently based both on Databricks and on-prem Spark ...

Senior Data Engineer, Scala New York City, NY Boston, MA Los Angeles, CA Broomfield, CO Seattle, WA ... Spark (batch + streaming) data pipelines, currently based both on Databricks and on-prem Spark ...

Software Engineer, Data Systems

San Francisco, CA · On-site

$134.90K - $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 ...

Data Engineer Intern

Los Angeles, CA · On-site

$123.40K - $148.20K/yr

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 ...

Data Engineer Intern

Los Angeles, CA

$123.40K - $148.20K/yr

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 ...

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Intern Streaming Data Engineer information

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 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 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 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 are the most commonly searched types of Streaming Data Engineer jobs in California? The most popular types of Streaming Data Engineer jobs in California are:
What job categories do people searching Intern Streaming Data Engineer jobs in California look for? The top searched job categories for Intern Streaming Data Engineer jobs in California are:

$121.30K - $145.70K/yr

Other

Medical, Dental, Retirement

Posted 17 days ago


Job description

We’re Hiring: Senior Data Engineer 🚀

📍 Glendale, CA — Onsite 4 Days/Week
📌 Local Candidates Only
📌 W2 Opportunity Only

We’re seeking an experienced Senior Data Engineer to help build and scale our Core Data Platform. This is an exciting opportunity to work with modern data technologies and collaborate with cross-functional teams driving enterprise data solutions.

🔹 Responsibilities:
• Maintain, enhance, and expand existing Core Data platform pipelines
• Build and maintain APIs for downstream applications
• Develop real-time streaming data pipelines
• Work with Airflow, Spark, Databricks, Delta Lake, and Snowflake
• Collaborate with product managers, architects, and engineering teams
• Help define best practices, standards, and pipeline conventions
• Ensure platform reliability, operational efficiency, and SLA performance

🔹 Qualifications:
✔ 5+ years of data engineering experience building large-scale pipelines
✔ Strong programming skills in Python, Java, or Scala
✔ Production experience with Spark and distributed systems
✔ Hands-on experience with Airflow orchestration
✔ Experience with Snowflake, Databricks, BigQuery, or other MPP/cloud databases
✔ Experience developing APIs using GraphQL
✔ Strong understanding of OLTP vs OLAP environments
✔ Background in distributed data processing, software engineering, or data modeling

🔹 Benefits:
✅ Medical insurance options
✅ Dental insurance
✅ 401(k)
✅ Overtime eligibility
✅ Sick leave benefits per state policy