Staff Data Engineer: Scale ML & Analytics Infra (Hybrid)

Firework; San Mateo (CA); Hybrid; USD 160,000 - 180,000; Full time

Benefits offered by this job

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Job summary

Firework is building data systems that enable analytics, ML, and data-driven product decisions at scale. This hybrid Bay Area role focuses on designing and operating core data infrastructure, from event ingestion to warehouse-backed pipelines that keep teams moving quickly and reliably.

As a Sr./Staff Data Engineer, you will mentor other data engineers, set engineering standards, and collaborate with data scientists to advance best practices across distributed systems.

Qualifications

• 5+ years in data or software engineering with production data or ML systems.
• Strong Python and SQL skills with advanced querying and optimization.
• Experience building large-scale ETL/ELT pipelines.
• Experience with Snowflake, BigQuery, or Iceberg.
• Experience with Spark, Flink, or similar technologies.
• Familiar with Airflow, Dagster, or Prefect.
• Cloud experience with AWS or GCP.
• Strong data modeling and architecture understanding.
• Experience with data quality, monitoring, and reliability in production.
• Excellent cross-team communication and leadership potential.

Responsibilities

• Design and implement backend and ML data infrastructure.
• Build analytics tools for insights across metrics.
• Create ETL/ELT pipelines and production workflows.
• Develop tooling for data analysts and scientists.
• Ensure data separation and security across regions.
• Collaborate on data system functionality and own end-to-end processing.
• Troubleshoot production issues and performance benchmarks.
• Mentor other data engineers and share best practices.

Skills

Python

SQL

Analytical thinking

Problem solving

Communication

Leadership potential

Tools

Snowflake

BigQuery

Iceberg

Apache Spark

Flink

Apache Airflow

Dagster

Prefect

AWS

GCP

Job description

Firework is building data systems that enable analytics, ML, and data-driven product decisions at scale. This hybrid Bay Area role focuses on designing and operating core data infrastructure, from event ingestion to warehouse-backed pipelines that keep teams moving quickly and reliably.

As a Sr./Staff Data Engineer, you will mentor other data engineers, set engineering standards, and collaborate with data scientists to advance best practices across distributed systems.