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Intern Streaming Data Engineer Jobs in California

Qualcomm

Data Engineer, Senior Staff

San Diego, CA · On-site

$121K - $146K/yr

Design, build, and maintain scalable batch and streaming data pipelines * Develop reusable data engineering frameworks, libraries, and templates for ingestion, transformation, validation, and ...

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 ...

AllSTEM Connections

Data Engineer

San Francisco, CA · On-site

$120K - $133K/yr

Lead Data Engineer (GCP, Supply Chain & AI Data Platforms) Role Overview We are seeking an ... streaming data platforms (e.g., Apache Kafka). • Working knowledge of PySpark for distributed ...

Qualitest Group

Data Engineer

Santa Clara, CA · On-site

$110K - $120K/yr

We are looking for a Data Engineer to join our growing team in United States Location ... US Remote Top 3 Must Haves: 1. Experience building end-to-end data pipelines (batch/streaming ...

Gamma

Software Engineer, Data Systems

San Francisco, CA · On-site

$134K - $162K/yr

... engineers across the organization. Responsibilities : • Own and evolve our end-to-end event ... streaming data transformations at massive scale • Establish best practices for data quality ...

Horizontal Talent

Sr. Data Engineer

San Francisco, CA · On-site +1

$60 - $96/hr

Join a dynamic data engineering team supporting large-scale analytics and cloud data solutions for ... Knowledge of Flink or other streaming/data processing frameworks. * Familiarity with data modeling ...

SAIC

Data Ops Engineer

San Diego, CA · On-site +1

$200K - $240K/yr

Engineering and Sciences Subcategory: Systems Engineer Schedule: Full-Time Shift: Day Job Travel ... In this role, you will be responsible for the reliable flow of streaming data from a wide range of ...

Quanata

Senior Data Engineer [Remote-US]

San Francisco, CA · Remote

$215K - $300K/yr

The role We're looking for a Senior Data Engineer to help the team deliver data science services ... Build streaming data pipelines using Kafka and AWS services to enable real-time data processing and ...

Relanto

Lead Data Engineer - GCP

Fremont, CA · On-site

$120 - $150/hr

Lead the development of large-scale batch and streaming data pipelines using PySpark and Python ... Define architecture standards, engineering best practices, and governance frameworks * Drive ...

Adobe

Data Science Engineer

San Jose, CA

$134K - $161K/yr

This role will drive data engineering for large-scale data science initiatives across a wide ... Familiarity and usage of different file formats in batch/streaming processing i.e., Delta/Parquet ...

Adobe, Inc.

Data Science Engineer

San Jose, CA · On-site

$134K - $161K/yr

This role will drive data engineering for large-scale data science initiatives across a wide ... Familiarity and usage of different file formats in batch/streaming processing i.e., Delta/Parquet ...

Qualcomm

Data Engineer, Staff

San Diego, CA · On-site

$121K - $146K/yr

Responsibilities : • Design, build, and maintain scalable batch and streaming data pipelines • Develop reusable data engineering frameworks, libraries, and templates for ingestion, transformation ...

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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?

The top searched job categories for Intern Streaming Data Engineer jobs in California are:

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Intern Streaming Data Engineer jobs near you

Data Engineer, Senior Staff

Qualcomm

San Diego, CA • On-site

$121K - $146K/yr

Full-time

Re-posted 25 days ago

Qualcomm rating

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

49th of 244 rated software companies

Job description

Company:
Qualcomm Incorporated
Job Area:
Information Technology Group, Information Technology Group > IT Data Engineer
General Summary:
We are seeking a Senior Staff Data Engineer to design, build, and operate a modern, scalable data platform with Databricks Lakehouse as a core foundation.
In this role, you will focus on building reusable data frameworks, shared platform components, and standardized pipelines that enable teams to deliver data products efficiently and consistently. Your work will support analytics, reporting, and downstream advanced use cases (including AI and machine learning), with a strong emphasis on reliability, governance, developer productivity, and intelligent automation.
This is a hands-on role with meaningful ownership across data engineering, framework development, AI-driven automation, platform reliability, security, and cost management, while contributing to architectural decisions and data standards.
This role is full-time onsite (5 days per week) and can be based in San Diego, CA or Boulder, CO.
**This position is not eligible for Qualcomm immigration sponsorship.**
Minimum Qualifications:
• 7+ years of IT-related work experience with a Bachelor's degree in Computer Engineering, Computer Science, Information Systems or a related field.
OR
9+ years of IT-related work experience without a Bachelor's degree.
• 5+ years of work experience with programming (e.g., Java, Python).
• 3+ years of work experience with SQL or NoSQL Databases.
• 3+ years of work experience with Data Structures and algorithms.
What You'll Do
Data Engineering, Frameworks & AI-Driven Automation
  • Design, build, and maintain scalable batch and streaming data pipelines
  • Develop reusable data engineering frameworks, libraries, and templates for ingestion, transformation, validation, and publishing
  • Establish standardized patterns for data modeling, transformations, and pipeline orchestration
  • Implement end-to-end data workflows from raw ingestion to curated analytical datasets
  • Leverage AI-based techniques to automate and optimize data engineering workflows, such as:
    • Intelligent schema inference and evolution
    • Automated data quality checks and anomaly detection
    • Pipeline failure detection and self-healing mechanisms
    • Experience building AI-assisted or intelligent automation for:
    • Data quality monitoring
    • Pipeline observability
    • Cost or performance optimization
  • Ensure data quality, reliability, and performance across pipelines and shared frameworks
  • Support downstream consumers such as analytics, reporting, and AI/ML teams

Reliability, Operations & Intelligent Automation
  • Define and monitor SLIs/SLOs for data pipelines, frameworks, and platform availability
  • Participate in incident response, on-call rotations, and post-incident reviews
  • Apply AI-assisted monitoring and alerting to proactively detect performance issues, data drift, and operational anomalies
  • Implement security, compliance, and data governance controls across shared data assets
  • Drive performance tuning and cost optimization, including automated recommendations for resource utilization and workload optimization

Collaboration & Technical Leadership
  • Partner with analytics, application, and platform teams to understand common data needs and platform gaps
  • Drive adoption of standardized data frameworks, automation patterns, and best practices across teams
  • Contribute to data architecture decisions, platform standards, and design guidelines
  • Mentor junior engineers and provide technical guidance, including best practices for automating data workflows

Required Qualifications
Data Engineering, Frameworks & System Design
  • 8+ years of experience building and operating data platforms or distributed data systems
  • Proven experience designing and building reusable data engineering frameworks, libraries, or platform components
  • Strong experience designing scalable, reliable data pipelines using standardized patterns
  • Solid understanding of data modeling, storage formats, schema evolution, and query performance
  • Experience implementing automation in data pipelines, including rule-based or AI-assisted approaches
  • Ability to reason about architectural trade-offs across scalability, cost, reliability, and security

Cloud & Data Platform Experience
  • Strong hands-on experience with AWS, including IAM, networking, and multi-account setups
  • Proven experience with Databricks Lakehouse, including:
    • Delta Lake
    • Unity Catalog
  • Strong proficiency in Python for framework development, data processing, and automation
  • Experience building data platforms that support multiple consumers and automated workflows

Security & Communication
  • Understanding of cloud security best practices and data governance
  • Experience working in regulated or compliance-driven environments
  • Strong communication skills and the ability to drive adoption of shared frameworks and automation patterns across teams

Nice-to-Have
  • Experience building internal data platforms or enablement frameworks
  • Experience supporting AI/ML teams as platform consumers (without owning models)
  • Experience with data observability and monitoring tools
  • Experience with enterprise ingestion tools (e.g., Fivetran, HVR)
  • Experience with data lineage or metadata management
  • Familiarity with secret management tools (Vault or similar)
  • Experience optimizing Databricks performance and cost
  • Experience working with globally distributed teams

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$158,400.00 - $237,600.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.

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About Qualcomm

Sourced by ZipRecruiter

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985

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