Senior Software Engineer, Data Platform

Location: Remote — Los Angeles area preferred Employment: Full-time Experience: 5–8 years Compensation: $200,000–$240,000 + 0.25%–0.5% equity Work Authorization: U.S. citizenship required

About the Role

We're looking for a Senior Software Engineer, Data Platform to build and own a data platform from the ground up.

This is a highly autonomous, zero-to-one role focused on turning large volumes of complex, real-world data into clean, consistent, and reliable datasets for machine learning and product teams.

You'll architect high-throughput pipelines, establish data quality and reproducibility standards, and build the infrastructure and tooling needed to make data easy to discover, process, label, and use.

What You'll Do

• Architect and build high-throughput data pipelines from scratch. • Develop pipelines for processing, aligning, transforming, and calibrating complex datasets. • Build backfill and reprocessing frameworks for historical data. • Establish dataset lineage, versioning, and reproducibility. • Build APIs and tooling for dataset discovery and access. • Develop data-quality metrics, monitoring, and alerting. • Optimize storage, compression, partitioning, and data access patterns. • Build internal tools and workflows for ML and data-labeling teams. • Partner closely with ML engineers to understand and support their data requirements.

What We're Looking For

• 5–8 years of software or data engineering experience. • Proven ability to architect a data platform or…