Senior Software Engineer, Data Platform (Los Angeles/Remote)
# Senior Software Engineer, Data Platform (Los Angeles/Remote) **Rheaction** · United States · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 💰 **Компенсация:** `$200,000 – $240,000` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Data-Engineer]` `[Software-Engineer]` `[Backend-Engineer]` `[Data-Platform-Engineer]` `[Senior-Data-Engineering]` `[Senior-Cloud-Data-Platform-Engineer]` --- ### About the Role 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. Originally posted on Himalayas
- Data-Engineer
- Software-Engineer
- Backend-Engineer
- Data-Platform-Engineer
- Senior-Data-Engineering
- Senior-Cloud-Data-Platform-Engineer
Наблюдалась 2026-10-12, впервые 2026-10-12, источник — Himalayas (JSON API).