Data Engineer

About Higgsfield

Higgsfield AI is the leading video AI company redefining synthetic media on socials. The company is entering its next stage of scale with $200M+ run-rate sales in just 9 months after launch, and a fresh $130M Series A.

Who we are looking for

Everyone at Higgsfield is an A-player. We’re looking for teammates who bring:

• Strong engineering fundamentals with a pragmatic, product-oriented mindset.

• Obsession with data quality, reliability, and scalability.

• Readiness to thrive in a high-intensity startup environment.

• Excellent communication skills and the ability to collaborate closely with product, ML, and analytics teams.

What you will work on

• Design, build, and maintain scalable data pipelines that power product analytics, ML models, and internal tools.

• Own the end-to-end data infrastructure — from ingestion and transformation to storage and access.

• Ensure data reliability, quality, and performance across high-volume, real-time systems.

• Collaborate with analytics, product, and ML teams to enable experimentation, reporting, and model training.

• Optimize data workflows to support millions of daily video generations at low latency.

• Implement best practices for monitoring, logging, and data governance.

Your must haves

• 5+ years of experience as a Data Engineer or similar role.

• Strong proficiency in Python and SQL.

• Hands-on experience building data pipelines using tools like Airflow, Spark, or similar.

• Experience with data warehouses and databases (e.g., BigQuery, Snowflake, ClickHouse).

• Solid understanding of ETL/ELT, data modeling, and schema design.

• Experience working at fast growing b2c startup.

• Experience working with high-scale, production data systems.

• Willingness to work in a fast-paced startup environment.

• Bonus points for experience with real-time data, ML pipelines, or GenAI systems.

  
  This role is based in the San Francisco Bay Area.