Remote Data Engineer: GPU Pricing & Pipelines

Silicon Data; United States; On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Fully remote

Competitive salary

Flexible schedule

Job summary

Silicon Data in the United States is hiring a Data Engineer to scale our GPU data platform and deliver real-time pricing intelligence and benchmarking insights.

You will design and maintain data pipelines, write SQL and Python for large datasets, and ensure data quality. The role collaborates with senior engineers on schema design and platform architecture, with a fully remote setup that supports rapid growth and exposure to AI compute markets.

Qualifications

• Solid proficiency in SQL and Python.
• 0–4 years of experience in data engineering, software engineering, or related internship.
• Bachelor's degree in Computer Science, Mathematics, or related field, or equivalent practical experience.

Responsibilities

• Build and maintain ETL/ELT pipelines that clean, transform, and load GPU pricing and benchmarking data.
• Write SQL and Python to process and validate large datasets.
• Monitor pipeline health and troubleshoot data quality issues.
• Collaborate with senior engineers on schema design and pipeline architecture.
• Collaborate with analytics, data science, and engineering teams to accelerate adoption of platform capabilities and uphold data governance standards.

Skills

SQL

Python

ETL/ELT pipelines

Education

Bachelor's degree in Computer Science, Mathematics, related field, or equivalent

Tools

Airflow

dbt

Iceberg

Deltalake

Git

Docker

Job description

Silicon Data in the United States is hiring a Data Engineer to scale our GPU data platform and deliver real-time pricing intelligence and benchmarking insights.

You will design and maintain data pipelines, write SQL and Python for large datasets, and ensure data quality. The role collaborates with senior engineers on schema design and platform architecture, with a fully remote setup that supports rapid growth and exposure to AI compute markets.