Data Engineer Intern

San Mateo, California

Actively hiring, first seen by us 4 days ago

Pay: $20–25/hourLocation-specific pay — pay source
Compensation The following represents the expected range of compensation for this role: The estimated pay range for this role is $20-$25 per hour. The posted pay range represents the anticipated low and high end of the compensation for this position and is subject to change based on business need. To determine a successful candidate’s starting pay, we carefully consider a variety of factors, including primary work location, an evaluation of the candidate’s skills and experience, market demands, and internal parity. Candidates may receive more information from the talent partner.
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Work setting: On-site — work setting source
Location The role is on-site and we are looking for candidates in the Bay Area who can go to the San Mateo office. Compensation
Read the full posting
Employment: Not stated

Before you apply

New graduates: For current studentsCurrently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, Information Systems, or a related technical field

What you’ll work on

Full posting

Assist in designing and maintaining data pipelines and infrastructure
Support ETL/ELT processes that collect and transform data
Write and optimize SQL queries and Python scripts for processing and reporting
Help build data tools and dashboards for business and product insights
Troubleshoot pipeline issues with guidance from senior engineers

From the employer’s posting

Assist in designing, developing, and maintaining data pipelines and infrastructure

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

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

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

Education & alternatives

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

About Fireworkhq

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.

In the employer’s words · Read in context

Apply at Fireworkhq

Posting record

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Actively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Oct 31, 20264 days ago
Recorded sightings: 5
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 4

Early. Similar jobs usually come down between day 5 and day 54.

From 10,733 similar postings that came down. Coming down is not always a hire.

Fireworkhq is hiring

2 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
BigQuery
Snowflake
Spark
Airflow

Where the posting names them

- 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

- 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

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

About Firework

Join Firework – Where Innovation Meets Impact

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

Location

The role is on-site and we are looking for candidates in the Bay Area who can go to the San Mateo office.

Compensation

The following represents the expected range of compensation for this role: The estimated pay range for this role is $20-$25 per hour.

The posted pay range represents the anticipated low and high end of the compensation for this position and is subject to change based on business need. To determine a successful candidate’s starting pay, we carefully consider a variety of factors, including primary work location, an evaluation of the candidate’s skills and experience, market demands, and internal parity. Candidates may receive more information from the talent partner.

Don’t hold back

We understand some candidates may see the above and not apply because they don’t meet all the qualifications. We encourage you to apply anyway; we often find talented candidates that fit many other opportunities we have and look for potential too, not just what you did in the past. As an equal employment opportunity employer, we are a diverse team that strives for an inclusive environment for all. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, age, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

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