Data Engineer Intern

Posted Yesterday
San Mateo, CA, USA
In-Office
Internship
Artificial Intelligence • Machine Learning • Marketing Tech • Social Media • Software
Firework gives ecommerce businesses, publishers and advertisers a platform to create an engaging user experience.
The Role
Data Engineer Interns support the development and maintenance of data pipelines, ETL/ELT processes, data infrastructure, dashboards, and analytics tools. Responsibilities include writing Python and SQL, troubleshooting pipeline issues, improving data quality and performance, documenting workflows, and collaborating with engineering and analytics teams. The role provides hands-on exposure to cloud data infrastructure, warehouses, modern processing technologies, code reviews, and engineering best practices.
Summary Generated by Built In

About Firework

Join Firework – Where Innovation Meets Impact

Firework is redefining the future of commerce as an AI and video commerce company — combining cutting-edge technology, an exclusive network of enterprise brands and retailers, and a first-mover position to win the agentic commerce race.

We've built the world's most advanced and largest video commerce platform, trusted by global brands and leading retailers. But we're more than software — our compounding network effect grows stronger with every partner we add, bringing the energy of in-store experiences online and transforming how businesses engage, convert, and build lasting customer relationships at scale.

Having raised over $235M to date, led by investors such as SoftBank Vision Fund 2, and operating at global scale, we offer unparalleled opportunities to solve complex challenges and drive meaningful impact in the future of connected commerce.

If you're curious, ambitious, and energized by big ideas — Firework is the place to grow, lead, and shape what comes next. Together.

Summary

We are seeking a motivated and curious Data Engineer Intern to join our engineering team and gain hands-on experience building and maintaining data infrastructure. In this role, you will work alongside experienced engineers to support the development of data pipelines, data processing systems, and analytics tools that power business intelligence, product development, and data-driven decision-making across the organization.

The ideal candidate has a strong foundation in programming and data concepts, enjoys solving technical challenges, and is eager to learn about modern data engineering technologies and best practices.

This internship offers an opportunity to work on meaningful projects, gain exposure to real-world data systems, and develop technical skills in a collaborative, fast-paced environment. 

 

What you'll be doing

  • Assist in designing, developing, and maintaining data pipelines and infrastructure that support analytics, business intelligence, and machine learning applications

  • Support the development of ETL/ELT processes to collect, transform, and organize data from various sources

  • Write and optimize SQL queries and Python scripts to support data processing, reporting, and analysis

  • Collaborate with data engineers, software engineers, and analytics teams to improve data accessibility, quality, and reliability

  • Help build and maintain data tools and dashboards that provide actionable insights into business and product performance

  • Gain hands-on experience with cloud-based data infrastructure, data warehouses, and modern data processing technologies

  • Assist in troubleshooting data pipeline issues, identifying performance improvements, and implementing solutions with guidance from senior engineers

  • Participate in code reviews, technical discussions, and team meetings while learning engineering best practices

  • Document data processes, workflows, and technical solutions to support ongoing development and knowledge sharing

We'll be excited if you have

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, Information Systems, or a related technical field

  • Foundational knowledge of Python and SQL, including experience writing queries, manipulating data, or developing scripts through coursework, projects, or internships

  • Basic understanding of databases, data structures, and data processing concepts

  • Familiarity with ETL/ELT processes, data pipelines, or data warehousing concepts

  • Interest in learning modern AI and data technologies such as Claude, Snowflake, BigQuery, Apache Spark, Flink, or Apache Airflow

  • Strong analytical and problem-solving skills, with attention to detail and a willingness to learn

  • Good communication and collaboration skills, with the ability to work effectively in a team environment

  • A proactive attitude, intellectual curiosity, and enthusiasm for working with data and emerging technologies

  • Previous technical projects, relevant coursework, or internship experience in data engineering, software development, or analytics is a plus, but not required

Skills Required

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, Information Systems, or a related technical field
  • Foundational knowledge of Python and SQL, including writing queries, manipulating data, or developing scripts
  • Basic understanding of databases, data structures, and data processing concepts
  • Familiarity with ETL/ELT processes, data pipelines, or data warehousing concepts
  • Interest in learning modern AI and data technologies such as Claude, Snowflake, BigQuery, Apache Spark, Flink, or Apache Airflow
  • Strong analytical and problem-solving skills, attention to detail, and willingness to learn
  • Good communication and collaboration skills, with the ability to work effectively in a team environment
  • Proactive attitude, intellectual curiosity, and enthusiasm for working with data and emerging technologies
  • Previous technical projects, relevant coursework, or internship experience in data engineering, software development, or analytics

Firework Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Firework and has not been reviewed or approved by Firework.

  • Healthcare Strength — Health coverage is portrayed as robust, with high employer-paid medical, fully covered dental/vision, and wellness support through an HRA. These elements position healthcare as a standout component of the total rewards.
  • Leave & Time Off Breadth — Policies highlight flexible PTO with a stated minimum expectation, alongside paid holidays/sick time and hybrid flexibility. Time-off breadth is emphasized, though norms are advised to be confirmed during offers.
  • Equity Value & Accessibility — Equity is described as included across roles with bonus eligibility and a 401(k) as standard. Broad equity inclusion is framed as a core part of total compensation.

Firework Insights

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The Company
HQ: San Mateo, CA
270 Employees
Year Founded: 2017

What We Do

Firework is the world's leading immersive digital transformation and engagement platform with shoppable video, live streaming commerce, and monetization capabilities. Powering over 600 direct-to-consumer brands, retailers, and media publishers worldwide, Firework brings TikTok-like interactive video experiences to your own websites and app. We enable customers to create and host native, shoppable video content for engaging product discovery, seamless shopping experiences, and a deeper emotional connection with consumers. The company is backed by IDG Capital, Lightspeed Venture Partners, and GSR Ventures, with over $90 million in capital raised to date with offices in the US(SF and NYC), Toronto, Poland, Slovakia, Brazil, and China.

Why Work With Us

We are a diverse team where everyone belongs. We are creative, curious, and cool in a nerdy way. We believe in growth, results, and in each other and that perfection is a work-in-progress. We are just the right amount of extra and want to change the digital game.

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