> Markdown version of [/jobs/ext/4459967-software-engineer-data-platform](https://www.wearedevelopers.com/jobs/ext/4459967-software-engineer-data-platform). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Software Engineer - Data Platform

- **Company:** Scion Staffing, Inc.
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $240,000.0
- **Contract:** Contract
- **Skills:** Geographic Information Systems, Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Cloud Computing, Information Engineering, Data Infrastructure, Python (Programming Language), Machine Learning, NumPy, Operational Databases, SciPy, Software Engineering, TypeScript, Management of Software Versions, Data Storage Technologies, Pandas, Machine Learning Operations, Data Pipelines, Programming Languages
- **Published:** October 10, 2026
- **Apply:** https://scionstaffing.com/apply-with-scion-staffing/

## About the Role

* At least 5 years of professional data engineering, software engineering, or data platform experience, with startup, early-stage, or greenfield platform-building experience strongly preferred.
 * Demonstrated ability to independently architect and deploy high-throughput data pipelines from the ground up.
 * Strong Python skills and experience with tools such as PyArrow, Polars, Pandas, NumPy, or SciPy.
 * Experience developing production services with Go, Rust, TypeScript, or a comparable programming language.
 * Strong cloud infrastructure experience, preferably with AWS, including deploying and operating production data pipelines.
 * Experience owning datasets as products, including lineage, versioning, reproducibility, documentation, backfills, reprocessing, storage optimization, and data-quality monitoring.
 * Experience with relevant technologies or data domains such as Airflow, Prefect, MLflow, W&B, labeling workflows, edge or multi-source data, time synchronization, or geospatial data.

## Description

The Senior Data Platform Engineer will serve as an early member of the data engineering team, designing a scalable data platform from the ground up. This individual will transform complex sensor and telemetry data into reliable, well-documented datasets used by machine-learning and perception teams. The position is ideal for an autonomous, collaborative engineer who enjoys solving ambiguous technical challenges and building high-impact systems in a growing environment., * Architect and deploy high-throughput cloud data pipelines that process large volumes of sensor, telemetry, and other complex data.

 * Build post-processing workflows that align, resample, calibrate, and restructure multi-source data for machine-learning applications.
 * Develop scalable backfill and reprocessing frameworks for updated filters, synchronization, labeling corrections, and metadata enrichment.
 * Establish dataset lineage, versioning, documentation, quality monitoring, and reproducibility standards.
 * Create dataset discovery and access APIs or SDKs that support searches by factors such as time, region, modality, labels, and quality indicators.
 * Optimize data storage and build supporting tools, potentially including labeling and pre-labeling workflows, for machine-learning teams.