Senior/Staff Data Engineer

San Mateo, California

Live, first seen by us 24 days ago

Pay: $160,000–180,000/yearAnnual period assumed. Location-specific pay — pay source
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.
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Work setting: Hybrid — work setting source
Locations The role is hybrid and we are looking for candidates in the Bay Area Compensation
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Employment: Not stated

What you’ll work on

Full posting

Design and build backend and ML data infrastructure, including streaming and event ingestion
Build and maintain distributed ETL, feature engineering, and model-running pipelines
Build analytics tools that give insight into acquisition and operational efficiency
Create data tools for analytics and data science teams, keeping data secure across regions
Mentor other data engineers on technical guidance and best practices

From the employer’s posting

designing, developing, and implementing our backend and machine learning data infrastructure

develop and maintain distributed data pipelines for ETL, feature engineering, and model running

Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency

Create data tools for analytics and data scientist team members

Mentor other data engineers, providing technical guidance, sharing best practices

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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Status in our records: Live
First seen by us: Oct 11, 202624 days ago
Recorded sightings: 21
Last seen by us: Nov 4, 2026
Employer says posted: Oct 8, 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 24

Similar jobs usually come down between day 6 and day 54.

From 10,764 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
AWS
BigQuery
GCP
Iceberg
Prefect
Snowflake
Spark
Airflow
Dagster

Where the posting names them

- 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

- 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

- 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 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

- 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

- 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

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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 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.

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