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 an experienced and highly skilled Senior/Staff Data Engineer to help design, build, and scale our data infrastructure. In this role, you will play a critical part in developing reliable, high-performance data pipelines and systems that power analytics, business intelligence, product development, and data-driven decision-making across the organization.
The ideal candidate is a hands-on engineer with deep expertise in modern data architectures, strong technical problem-solving skills, and a passion for building scalable, efficient, and maintainable data solutions.
Depending on experience and seniority, this role will also provide technical leadership, influence architectural decisions, and help establish engineering best practices across the organization.
What you’ll be doing
Responsible for designing, developing, and implementing our backend and machine learning data infrastructure -- including event-based data ingestions, stream processing, data warehouse, data pipelines, visualization, analytics and applications
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics and develop and maintain distributed data pipelines for ETL, feature engineering, and model running
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader, and keep our data separated and secure across national boundaries through multiple data centers and AWS regions
Work with data and analytics experts to strive for greater functionality in our data systems and our end-to-end data processing, troubleshooting, and problem diagnosis, performance benchmark, load balance, and code reviews
Mentor other data engineers, providing technical guidance, sharing best practices, and supporting their professional development
We’ll be excited if you have
5+ years of professional experience in data engineering, software engineering, or a closely related field, with significant experience designing and maintaining production data or machine learning systems
Strong proficiency in Python and SQL, including advanced querying, data transformations, and performance optimization
Experience building and maintaining large-scale ETL/ELT pipelines and distributed data processing systems
Hands-on experience with modern data warehousing technologies such as Snowflake, BigQuery, or open table format such as Iceberg
Experience with data processing frameworks such as Apache Spark, Flink, or equivalent technologies
Familiarity with workflow orchestration tools such as Apache Airflow, Dagster, or Prefect
Experience with cloud infrastructure, preferably AWS or GCP
Strong understanding of data modeling, database design, and data architecture principles
Experience implementing data quality, monitoring, and reliability practices in production environments
Strong analytical and problem-solving skills with the ability to independently drive complex technical projects
Excellent communication and collaboration skills, with the ability to work effectively across technical and non-technical teams
Demonstrated leadership potential and a genuine interest in growing into a people management role, including mentoring engineers, building teams, and driving technical strategy
Skills Required
- 5+ years of professional experience in data engineering, software engineering, or a closely related field
- Significant experience designing and maintaining production data or machine learning systems
- Strong proficiency in Python and SQL
- Experience building and maintaining large-scale ETL or ELT pipelines
- Experience with distributed data processing systems
- Hands-on experience with Snowflake, BigQuery, or Apache Iceberg
- Experience with Apache Spark, Apache Flink, or equivalent technologies
- Familiarity with Apache Airflow, Dagster, Prefect, or equivalent workflow orchestration tools
- Experience with cloud infrastructure, preferably AWS or GCP
- Strong understanding of data modeling, database design, and data architecture principles
- Experience implementing data quality, monitoring, and reliability practices in production environments
- Strong analytical and problem-solving skills
- Excellent communication and collaboration skills across technical and non-technical teams
- Demonstrated leadership potential and interest in people management, mentoring, team building, and technical strategy
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.
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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.
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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.
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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
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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