Job description

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 Locations The role is hybrid and we are looking for candidates in the Bay Area Compensation The following represents the expected range of compensation for this role: The estimated pay range for this role is $160,000-$180,000. Other factors that impact compensation include stock options. 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.

Requirements

Must-haves

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
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
The role is hybrid and we are looking for candidates in the Bay Area

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningawspythonsqlgcp

Platform: lever
Effort: quick

Benefits

Benefits detected in the listing.

Vision

Professional Development