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Intern Streaming Data Engineer Jobs in California

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 ...

Fanatics, Inc.

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 ...

Fanatics, Inc.

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 ...

Magnite

Senior Data Engineer, Scala

Los Angeles, CA · Hybrid

$450/day

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 ...

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 ...

Voxelcloud

Data Engineer Intern

Los Angeles, CA · On-site

$123K - $148K/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 ...

Voxelcloud

Data Engineer Intern

Los Angeles, CA · On-site

$123K - $148K/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 ...

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 ...

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 ...

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 : • ...

Qualcomm

Data Engineer, 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 ...

Nuro

Software Engineer, Data Platform

Mountain View, CA · On-site

$136K - $163K/yr

Responsibilities : • Design and develop unified, introspectable, large-scale batch and streaming ... data engineering, and its tooling and best practices • Knowledge of batch and streaming data ...

MrBeast

Senior Data Engineer

San Francisco, CA · Hybrid

$124K - $169K/yr

Design and implement scalable batch and streaming data pipelines. * Develop and maintain enterprise ... Set and promote data engineering standards, governance, and best practices, and drive adoption.

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All JobsIntern Streaming Data Engineer JobsIntern Streaming Data Engineer Jobs in California

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 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 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:
Intern Streaming Data Engineer jobs near you
Senior Software Engineer - Observe by Snowflake, Streaming Data Products

Senior Software Engineer - Observe by Snowflake, Streaming Data Products

Snowflake

Menlo Park, CA • On-site

$200K - $287K/yr

Full-time

Re-posted 5 days ago

Job description

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lakehouse using open formats like Apache Iceberg - at dramatically lower cost. A dynamic Context Graph and chat-based AI SRE provide rich context and automated workflows so teams can move from detection to root cause and resolution 10x faster.
Leading engineering teams at companies like Capital One, Topgolf, and Dialpad rely on Observe to troubleshoot hundreds of terabytes of telemetry daily while maintaining reliability at enterprise scale. As part of Snowflake, Observe combines startup-style ownership and velocity with the global reach, operational excellence, and ecosystem of one of the world's leading data platforms.
We are hiring a Senior Software Engineer on the Observe team at Snowflake to own the streaming data product surface - the tables, views, and materialized views at the core of Observe's architecture. Observe's data lake approach lets customers correlate heterogeneous telemetry - logs, metrics, traces, events - across a unified data model. This role owns that data model: how customers define, shape, and query the semi-structured data that makes cross-signal correlation low-latency and cost-efficient, at petabyte scale, over continuous streaming telemetry.
AS A SENIOR SOFTWARE ENGINEER - STREAMING DATA PRODUCTS AT SNOWFLAKE, YOU WILL:
  • Own the data modeling product surface - the APIs, schemas, and abstractions through which customers create tables, views, and materialized views that unify their telemetry for correlation and querying, designed for high-performance execution at scale
  • Design the right abstractions for how customers create and manage queryable data - from streaming materialized views to reference tables to log-derived metrics - each serving different needs but composing under one coherent, evolvable model
  • Define freshness and staleness semantics that let customers trust their materialized views are current, and design the controls to tune the trade-off between query latency and compute cost
  • Design APIs with strong schema taste: versioning, backwards compatibility, polymorphic data models, and clean contracts between systems
  • Drive requirements and shape the execution engine based on what the product surface needs
  • Layer complexity so an SRE gets a useful table from opinionated defaults in minutes, while a data engineer can express multi-stage pipelines with custom joins, windowing, and time-based aggregations
  • Lead a team technically - setting architectural direction, writing production code, and mentoring engineers
OUR IDEAL SENIOR SOFTWARE ENGINEER - STREAMING DATA PRODUCTS WILL HAVE:
  • 5+ years of software engineering experience with deep expertise in databases, SQL, stream processing, or data pipeline systems
  • Deep knowledge of data processing or streaming internals - late-arriving data, backfill and reprocessing on schema changes, event-time vs. processing-time semantics - with experience building products and applications on top of them
  • Demonstrated experience designing and shipping APIs with strong taste in DB schema design, versioning, and developer ergonomics
  • An architect's mental model - you think in systems, interfaces, contracts, and long-term evolution rather than short-term hacks
  • A strong sense of user empathy and product intuition - you think beyond APIs and care about how customers define and query their data
  • Proficiency in Go or another systems language, with ability to write production-grade distributed systems code
BONUS POINTS FOR THE FOLLOWING:
  • Experience building customer-facing data modeling or pipeline authoring products
  • Hands-on experience with streaming semantics in production: watermarks, windowing, ordering, delivery guarantees, late-arriving data
  • Background in designing or extending query languages, schema DSLs, or transformation DAG semantics
  • Prior work building internal data platforms that turned raw event streams into curated, queryable tables for internal teams
  • Familiarity with Apache Iceberg, open table formats, or data lakehouse architectures
WHY JOIN OUR OBSERVE TEAM AT SNOWFLAKE?
Observe's data modeling surface - how customers go from raw telemetry to structured, queryable, correlated data - has proven successful and is now at an inflection point, growing rapidly in richness and complexity to serve evolving enterprise needs. Your architectural decisions will shape how this surface scales - serving thousands of teams, supporting new abstraction types, and maintaining coherence as the platform matures. And you'll do it backed by Snowflake's query engine and data platform, with the ownership culture and shipping velocity of a small focused team.
Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

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