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 high-throughput pipeline from a blank page - Strong Python and data tooling experience, such as PyArrow, Polars, Pandas, NumPy, or SciPy - Experience with AWS or another major cloud platform and deploying production data pipelines - Experience with a services language such as Go, Rust, or TypeScript - Strong understanding of data lineage, versioning, reproducibility, and data quality - Experience building backfill and reprocessing systems - High ownership and ability to operate independently in a startup environment - U.S. citizenship required Strong Plus - Founding or early data-platform engineering experience - Experience with sensor, audio, video, telemetry, or geospatial data - Airflow, Prefect, MLflow, W&B, or similar tooling - Experience building labeling tools or ML data workflows - Strong full-stack/generalist capabilities - Experience treating datasets as a product, with strong documentation and discoverability