Senior Data Platform Engineer - Remote, Equity Eligible

Scion Staffing, Inc.; San Francisco (CA); Remote; USD 190,000 - 240,000; Full time

Benefits offered by this job

Competitive compensation

Remote, full-time

Greenfield data platform

Autonomy and visibility

Job summary

Scion Staffing, Inc. is seeking a Senior Data Platform Engineer for a fast-growing tech company delivering AI-powered solutions. This fully remote role requires US residency and PST hours.

The engineer will design a scalable data platform from the ground up and transform sensor/telemetry data into reliable datasets for ML teams. The role calls for autonomy and collaboration to tackle ambiguous challenges and deliver high-impact systems in a growing environment.

Qualifications

• 5+ years in data engineering or data platform roles.
• Architect and deploy high-throughput data pipelines.
• Strong cloud experience, AWS preferred.
• Ownership of datasets as products with lineage and quality monitoring.

Responsibilities

• 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/SDKs for searches by time, region, modality, labels, and quality.
• Optimize data storage and build tools for ML teams.

Skills

Python

Go

Rust

TypeScript

AWS

Data pipelines

PyArrow

Polars

Pandas

NumPy

Tools

Airflow

Prefect

MLflow

Weights & Biases

Job description

Scion Staffing, Inc. is seeking a Senior Data Platform Engineer for a fast-growing tech company delivering AI-powered solutions. This fully remote role requires US residency and PST hours.

The engineer will design a scalable data platform from the ground up and transform sensor/telemetry data into reliable datasets for ML teams. The role calls for autonomy and collaboration to tackle ambiguous challenges and deliver high-impact systems in a growing environment.