Software Engineer, Data

HeyGen•Los Angeles, CA

3h•$180,000 - $220,000

About The Position

A Software Engineer with data engineering responsibilities to bridge the gap between core application development and large-scale data infrastructure. You will help build the data foundational layers for our next-generation features. This role is not just about moving data—it’s about enabling AI models to function in real-time, building robust pipelines for multimedia, and powering engaging user experiences. This team is currently working on cutting-edge features including PPT-to-video converters and interactive, conversational video capabilities.

Requirements

Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field.
3-5+ years of experience as a Backend Software Engineer with heavy data processing responsibilities.
Strong proficiency in Python (for ETL/scripting) and SQL (for data modeling).
Experience with cloud platforms (AWS/GCP) and data technologies like Kafka, Spark, and Snowflake/Databricks.
Proactive, "owner" mindset; ability to operate in a fast-paced, startup environment.

Nice To Haves

Experience or interest in Computer Vision/Generative AI data processing.

Responsibilities

Build & Scale Data Pipelines: Design, develop, and maintain robust batch and real-time data pipelines (using Python, Go, Spark, Kafka) that ingest and transform massive multi-modal data—text, audio, and video—to train and run AI models.
Power Intelligent Features: Collaborate with ML engineers to implement data structures and APIs for new, exciting features like PPT-to-video automation and interactive AI avatars that require low-latency data fetching.
Data Lakehouse Infrastructure: Architect and manage data lakehouse solutions (e.g., Snowflake, Databricks, Apache Iceberg) to store and query unstructured media data efficiently, enhancing storage and computation efficiency.
Data Reliability & Observability: Implement data quality checks, data contracts, and monitoring to ensure high reliability of data, preventing downtime in production video generation.
Productize Data: Transform raw data into structured, actionable data products that can be easily consumed by front-end applications, API endpoints, and AI agents.